https://kyushu-u.elsevierpure.com/en/persons/hidetaka-arimura
　Reseacher Profiling Tool　Kyushu University Pure

https://researchmap.jp/arimurah
Research map .

http://web.shs.kyushu-u.ac.jp/~arimura/
Arimura Laboratory "Artificial intelligence-based diagnostic and treatment systems"
Our Keywords : Precision Medicine, Medical AI, Radiomics, Medical Images, Data Science, Medical Physics, Medical Image Analysis, Medical Image Processing
Pattern Recognition, Machine Learning, Radiation Physics .

Research Interests

• Current Status and Perspectives of Radiomics for Personalized Radiation Therapy
  keyword : Medical Image Analysis, Radiomics, Data Science
  2016.04.
• Computer-Assisted Radiation Therapy (lung cancer, prostate cancer, cervical cancer )
  keyword : Medical Image Processing, Computer-Assisted Radiation Therapy
  2010.04.
• Computer-aided beam arrangement based on similar cases in radiation treatment planning databases
  keyword : Computer-aided Radiotheragnosis, Medical Image Processing, Pattern Recognition, Similar-case-based optimization
  2009.04.
• Development of computer-aided detection system for unsymptomatic unraptured intracranial aneurysms
  keyword : Computer-Aided Detection (CAD) System, Brain Diseases, Image Analysis
  2004.11.
• Computer-Assisted Particle Therapy System Based on Computational Anatomy Models for Treatment Planning
  keyword : Computer-Assisted Particle Therapy, Computational Anatomy
  2012.04～2014.03.
• Automated Method for Retrieval of Similar Cases in Radiation Therapy
  keyword : Radiation Therapy, Similar Cases, Image Processing, Pattern Recognition
  2009.04.
• Computer-assisted radiation treatment planning system for high precision radiotherapy
  keyword : high precision radiotherapy, computer-assisted radiation treatment planning system, image processing pattern recognition, optimization problem
  2010.04.
• Computer-aided detection of multiple sclerosis lesions
  keyword : multiple sclerosis , CAD, MRI
  2006.04.
• Computer-aided Detection of Ischemic Lesions Related to Subcortical Vascular Dementia
  keyword : Vascular Dementia, CAD, MRI
  2005.04～2010.05.
• Automated Method for Identification of Patients With Alzheimer’s Disease
  keyword : Alzheimer’s Disease, CAD, MRI
  2004.04.

Academic Activities

Books

 Show All Books >>

1.	Hidetaka Arimura, Image-Based Computer-Assisted Radiation Therapy Edited by Hidetaka Arimura, March 4, 2017, Springer, 2017.03, This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy. In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy. All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy..
2.	Hidetaka Arimura, Taiki Magome, Genyu Kakiuchi, Jyunpei Kuwazuru, Asumi Mizoguchi, "Computational Intelligent Image Analysis for Assisting Radiation Oncologists’ Decision Making in Radiation Treatment Planning" in Computational Intelligence in Biomedical Imaging Edited by Kenji Suzuki (The University of Chicago) pp. 83-103, Springer Science+Business Media New York, Springer, 2013.12.
3.	Hidetaka Arimura, Chiaki Tokunaga, Yasuo Yamashita, Jyunpei Kuwazuru, "Magnetic Resonance Image Analysis for Brain CAD Systems with Machine Learning" in Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis Edited by Kenji Suzuki (The University of Chicago) , IGI Global, pp. 258-296, IGI global, USA, 2012.01.

Reports

 Show All Reports >>

1.	Hidetaka Arimura, Mazen Soufi, Hidemi Kamezawa, Kenta Ninomiya, Masahiro Yamada, Radiomics with artificial intelligence for precision medicine in radiation therapy (review paper), Journal of Radiation Research, Volume 60 Issue 1 Page 150-157, 10.1093/jrr/rry077, 2019.01, [URL].
2.	Hidetaka Arimura, Mazen Soufi, Kenta Ninomiya, Hidemi Kamezawa, Masahiro Yamada, Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis (review paper), Radiological Physics and Technology, Volume 11 Issue 4 Page 365-374 , 2018.12.
3.	Hidetaka Arimura, Mazen Soufi, A Review on Radiomics for Personalized Medicine in Cancer Treatment, 「MEDICAL IMAGING TECHNOLOGY」第36巻第2号, 2017.12.
4.	Hidetaka Arimura, Mazen Soufi, Mohammad Haekal, Multidimensional Image Analysis for High Precision Radiation Therapy, Jpn. J. Med. Phys. Vol. 36 No. 4: 217–221 (2016), 2016.09.
5.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Differential geometry based localization of anatomical feature points in range images of patient surfaces acquired by time-of-flight camera, IEICE Technical Report Vol.115, No.401, pp.315-319, 2016.01.
6.	Takahiro Nakamoto, Hidetaka Arimura, Tomonari Sasaki, KEN'ICHI MOROOKA, Taka-aki Hirose, Yasuhiko Nakamura, Yoshiyuki Umezu, Hiroshi Honda, Hideki Hirata, Development of a framework for estimating four-dimensional dose distributions during treatment time in stereotactic body radiation therapy for lung cancer based on therapeutic x-ray dynamic portal images , IEICE Technical Report vol.115, no.401, MI2015-86, pp.69-73,, 2016.01.
7.	Ze Jin, Hidetaka Arimura, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, A novel ellipsoid convex enhancement filter for boosting the performance in detection of asymptomatic intracranial aneurysms at 3.0 T magnetic resonance angiography, IEICE Technical Report vol. 115, no. 401, MI2015-126, pp. 257-261, 2016.01.
8.	Hidetaka Arimura, Prospects of Computational Medical Image Analysis in High Precision Radiation Therapy, 技術研究報告20140624, p.63~p.64, 2014.06.
9.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umedu, Yoshiyuki Shioyama, Fukai Toyofuku, Range-Image Guided System for Monitoring Intra-Fractional Setup Errors of Head and Neck Cancer Patients by Using an Infrared Ray Based Time-of-Flight Camera, 技術研究報告20140624, p.47 ~ p.52, 2014.06.
10.	Misato Imai, Hidetaka Arimura, Ayumi Nonaka, Katsumasa Nakamura, Yoshiyuki Shioyama, Hiroshi Honda, Hideki Hirata, Investigation of feasibility of a sparse-coding-based image similarity for retrieval of similar cases in radiation treatment planning database, International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S77-S78, 2014.06.
11.	Nguyen Tran Thi Thao, Hidetaka Arimura, Fujibuchi Toshioh, Hideki Hirata, Evaluation of dose distributions in inhomogeneous phantom for intracavitary brachytherapy with high-dose rate 192Ir source using Monte Carlo simulation., International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S289-S290, 2014.06.
12.	Yusuke Shibayama, Hidetaka Arimura, Katsumasa Nakamura, Norimasa Matsushita, Yoshiyuki Umedu, Taka-aki Hirose, Yasuhiko Nakamura, Hiroshi Honda, Hideki Hirata, Statistical representations of clinical target volume models based on distance images for prostate cancer radiation therapy, International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S60-S61, 2014.06.
13.	Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Asumi Mizoguchi, Taka-aki Hirose, Hiroshi Honda, Yoshiyuki Umedu, Yasuhiko Nakamura, Hideki Hirata, Automated estimation of four-dimensional dose distributions in stereotactic body radiotherapy based on a 2D/3D registration between EPID dynamic images and planning CT images., International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S68-S69, 2014.06.
14.	Taka-aki Hirose, Hidetaka Arimura, Yoshiyuki Umedu, Norimasa Matshishita, Yoshitaka Noguchi, Junichi Fukunaga, Tomoko Kimura, Naomi Hirano, Yoshitsugu Matsumoto, Saiji Ooga, Katsumasa Nakamura, Evaluation of a framework for determination of PTV margins based on a statistical point distribution model for CTVs in intensity modulated radiation therapy for prostate cancer, International Journal of Computer Assisted Radiology and Surgery 2014, vol. 9, sup. 1, S373-374, 2014.06.
15.	Hidetaka Arimura, Computer-Assisted Particle Therapy System Based on Computational Anatomy Models for Treatment Planning, Proceedings of The Fifth International Symposium on the Project Computational Anatomy pp.93-96, 2014.03.
16.	Ayumi Nonaka, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Mazen Soufi, Taiki Magome, Hiroshi Honda, Hideki Hirata, Local image descriptor-based searching framework of usable similar cases in a radiation treatment planning database for stereotactic body , SPIE Medical Imaging 2014 (San Diego), Paper 9039-18, 2014.02.
17.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Taka-aki Hirose, Yoshiyuki Umezu, Fukai Toyofuku, Hideki Hirata, Automated estimation of intra-fractional patient setup errors by using range images obtained via time-of-flight camera , Proceedings of 14th International Symposium on Advanced Intelligent Systems (ISIS2013) 12 pages, 2013.11.
18.	Hidetaka Arimura, Chiaki Tokunaga, Takashi Yoshiura, Tomoyuki Ohara, Yasuo Yamashita, Fukai Toyofuku, Automated Measurement of Cerebral Cortical Thickness Based on Fuzzy Membership Map Derived from MR images for Evaluation of Alzheimer's Disease, The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) proceedings pp.7116-7119, 2013.07.
19.	Hidetaka Arimura, Ze Jin, Yoshiyuki Shioyama, Katsumasa Nakamura, Taiki Magome, Masayuki Sasaki, Automated Method for Extraction of Lung Tumors Using a Machine Learning Classifier with Knowledge of Radiation Oncologists on Data Sets of Planning CT and FDG-PET/CT images, The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) proceedings pp. 2988-2991, 2013.07.
20.	Arimura H, Kakiuchi G, Jin Z, Shioyama Y, Minohara S, Nakamura K, Honda H, Hirata H., Computer-Assisted Particle Therapy System Based on Computational Anatomy Models for Treatment Planning, Proceedings of The Fourth International Symposium on the Project "Computational Anatomy"(p.101-102), 2013.02.
21.	Nakamoto T, Arimura H, Shioyama Y, Mizoguchi A, Nakamura K, Yoshidome Y, Hirose T, Anai S, Honda H, Umezu Y, Nakamura Y, Toyofuku F, Ohki M, Hirata H., Computerized monitoring of a lung tumor motion in four-dimensional dose distribution in stereotactic body radiation, Proceedings of International Forum on Medical Imaging in Asia 2012,Vol.38, pp.1-3, 2012.11.
22.	Jin Z, Arimura　H, Shioyama Y, Kuwazuru J, Magome T, Nakamura K, Honda H, Toyofuku F, Hirata H, Sasaki M., Computer-aided Delineation of Lung Tumor Regions in Treatment Planning CT Images and PET/CT Images Using Localized Level Set Approach, IEICE Technical Report Vol. 112, No.411, pp.49-51, 2013.01.
23.	Arimura H, Kakiuchi G, Shioyama Y, Minohara S, Mizoguchi A, Nakamura K, Nakamura Y, Honda H, Toyofuku F, Ohki M, Hirata H., Computerized determination of robust beam directions against patient setup errors in hadron particle therapy , Proceedings of Workshop of Image-Guidance and Multimodal Dose Planning in Radiation Therapy, MICCAI 2012(p.82-87), 2012.10.
24.	Magome T, Arimura H, Shioyama Y, Mizoguchi A, Tokunaga C, Nakamura K, Nakamura Y, Honda H, Ohki, Toyofuku F, Hirata H, Computer-assisted determination of the usable beam arrangement from similar treatment plans in stereotactic body radiotherapy , Proceedings of Workshop of Image-Guidance and Multimodal Dose Planning in Radiation Therapy, MICCAI 2012(p.101-107), 2012.10.
25.	Jin Ze, Arimura H, Shioyama Y, Fukuta M, Magome T, Kakiuchi G, Nakamura K, Honda H, Hirata H, Toyofuku F., Computer-aided radiotherapy: extraction of bronchial regions in treatment planning CT images, World Congress Medical Physics and Biomedical Engineering (WC2012, Beijing), IFMBE Proceedings Vol.39, 2012.05.
26.	Kakiuchi G, Arimura H, Shioyama Y, Minohara S, MIzoguchi A, Honda H, Toyofuku F, Ohki M, Hirata H., Automated determination of robust beam directions against patient setup errors based on electron density spatial distribution in hadron particle therapy, World Congress Medical Physics and Biomedical Engineering (WC2012), IFMBE Proceedings Vol.39, 1772-1775, 2012.05.30,Beijing, 2012.05.
27.	Magome T, Arimura H, Shioyama Y, Mizoguchi A, Tokunaga C, Nakamura K, Honda H, Ohki M, Toyofuku F, Hirata H., Computer-assisted radiation treatment planning system for determination of beam directions based on similar cases in a database for stereotactic body radiotherapy, Proc. of SPIE Vol.8319, 83190O(8 pages), 2012.06.
28.	Arimura H, Kuwazuru J, Shioyama Y, Taniyama E, Magome T, Nakamura K, Honda H, Toyofuku F, Hirata H, Sasaki M., Automated Contouring of Tumor Regions in CT Images Using an Adaptive Level Set Method, Proceedings of The 2012 International Workshop on Advanced Image Technology, pp. 46-49, January 9-10, 2012, Ho Chi Minh City, Vietnam, 2012.01.
29.	Mizoguchi A, Arimura H, Yoshidome S, Hirose T, Shioyama Y, Anai S, Nakamura K, Honda H, Umezu Y, Hirata H, Ohki M, Toyofuku F., Real-time monitoring of a lung tumor region based on gamma evaluation during stereotactic body radiotherapy, Japan-Korea Joint Meeting on Medical Physics (JKMP), Asia-Oceania Congress of Medical Physics（AOCMP）,Fukuoka, Proc. of JKMP-AOCMP 2011, p-57, 2011.09.
30.	Tokunaga C, Arimura H, Yoshiura T, Yamashita Y, Kobayashi K, Magome T, Honda H, Hirata H, Toyofuku F, Ohki M, Automated measurement of three-dimensional cortical thicknesses in ten cerebral lobar regions for patients with Alzheimer's disease, Japan-Korea Joint Meeting on Medical Physics (JKMP), Asia-Oceania Congress of Medical Physics（AOCMP）,Fukuoka, Proc. of JKMP-AOCMP 2011, c9-1, 2011.09.
31.	Magome T, Arimura H, Shioyama Y, Tokunaga C, Nakamura K, Honda H, Ohki M, Hirata H, Toyofuku F., Automated method for determination of beam directions based on similar cases for lung stereotactic body radiotherapy, Japan-Korea Joint Meeting on Medical Physics (JKMP), Asia-Oceania Congress of Medical Physics（AOCMP）,Fukuoka, Proc. of JKMP-AOCMP 2011, young-8, 2011.09.
32.	Kuwazuru J, Arimura H, Shioyama Y, Taniyama E, Magome T, Nakamura K, Honda H, Toyofuku F, Hirata H, Sasaki M., Computerized Delineation of Gross Tumor Volumes in Treatment Planning CT Images Using an Adaptive Level Set Method, Japan-Korea Joint Meeting on Medical Physics (JKMP), Asia-Oceania Congress of Medical Physics（AOCMP）,Fukuoka, Proc. of JKMP-AOCMP 2011, p-58, 2011.09.
33.	Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Nomoto S, Honda H, Ohki M, Toyofuku F, Hirata H., Computerized verification method for patient setup using portal images during radiation treatment of prostate cancer, International Forum on Medical Imaging in Asia (IFMIA), Proceedings of IFMIA 2011, 227-230., 2011.01.
34.	Kuwazuru J, Arimura H, Kakeda S, Yamamoto D, Magome T,Yamashita Y, Ohki M, Toyofuku F, Korogi Y., Automated Detection of Multiple Sclerosis Lesions: False Positive Removal Method Using an ANN-controlled Speed Function in a Level Set Method, International Forum on Medical Imaging in Asia (IFMIA), Proceedings of IFMIA 2011, 320-327., 2011.01.
35.	Kuwazuru J, Arimura H, Kakeda S, Yamamoto D, Magome T,Yamashita Y, Ohki M, Toyofuku F, Korogi Y., Automated Segmentation of Multiple Selerosis Candidate Regions using a Level Set Method based on an Aritificial Neural Network, Asia-Oceania Congress of Medical Physics 2010（AOCMP）, Taipei, Proc. AOCMP, p91-92, 2010.10.
36.	Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Honda H, Hirata H., Automated Verification Method for Patient Setup Based on Digitally Reconstructed Radiography and Portal Image for Prostate Cancer Treatment, Asia-Oceania Congress of Medical Physics 2010（AOCMP）, Taipei, Proc. AOCMP, p89-90, 2010.10.
37.	Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Magome T, Monji A, NakamuraY, Ohya N, Honda H, Higashida Y, Ohki M, Toyofuku F., Computerized Classification of Patients with Alzheimer’s Disease Based on Arterial Spin-Labeled perfusion MRI. , World Automation Congress 2010 （WAC）, 2010.09.
38.	Tokunaga C, Arimura H, Yoshiura T, Yamashita Y, Magome T, Honda H, Hirata H, Toyofuku F, Ohki M., Fuzzy-Based Segmentation of Brain Parenchymal Regions with Alzheimer's Disease into Cerebral Cortex and with Matter in 3.0-T Magnetic Resonance Images, World Automation Congress 2010 （WAC）, 2010.09.
39.	Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Nomoto S, Honda H, Ohki M, Toyofuku F, Hirata H., Automated Verification Method for Patient Setup Based on Digitally Reconstructed Radiography and Portal Image for Prostate Cancer Treatment, IEEE Xplore digital library; World Automation Congress (WAC) 2010: 1-4., 2010.09.
40.	Magome T, Arimura H, Shioyama Y, Nakamura K, Yoshitake T, Nomoto S, Anai S, Honda H, Ohki M, Toyofuku F, Onizuka Y, Higashida Y, Hirata H., Automated selection of similar cases with brain tumors using MR images for assisting radiation treatment planning, Computer Assisted Radiology and Surgery 2010; 5, Suppl1: S326-327, 2010.07.
41.	Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Magome T, Monji A, NakamuraY, Ohya N, Honda H, Ohki M, Higashida Y, Toyofuku F. , Computer-aided Classification of Patients with Alzheimer’s Disease Based on Cerebral Blood Flow Map measured by Arterial Spin Labeling MRI, Computer Assisted Radiology and Surgery 2010; 5 Suppl1, S387-388, 2010.07.
42.	Arimura H, Shioyama Y, Nakamura K, Yoshitake T, Anai S, Nomoto S, Honda H, Toyofuku F, Higashida Y, Onizuka Y, Terashima H, Hirata H., Computer-aided verification of a lung tumor location using EPID without implanted markers in stereotactic body radiotherapy, Computer Assisted Radiology and Surgery 2010; 5, Suppl1: S72-73, 2010.07.
43.	Fujita H, You J, Qin Li Q, Arimura H, Tanaka R, Sanada S, Niki N, Lee G, Hara T, Fukuoka D, Muramatsu C, Katafuchi T, Iinuma G, Miyake M, Arai Y, Moriyama N., State-of-the-art of Computer-Aided Detection/Diagnosis (CAD), ICMB International Conference on Medical Biometrics 2010; Vol.6165, pp.296-305, 2010.07.
44.	Fujita H, You J, Qin Li Q, A. Arimura H. et.al., State-of-the-art of Computer-Aided Detection/Diagnosis (CAD), ICMB International Conference on Medical Biometrics 2010, Vol.6165, 296-305, 2010.07.
45.	Arimura H, Kawata Y, Yamashita Y, Magome T, Ohki M, Toyofuku F, Higashida H, Tsuchiya K., Computerized evaluation method of white matter hyperintensities related to subcortical vascular dementia in brain MR images, Proc. of SPIE Vol. 7624 762424-1, 2010.06.
46.	Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Magome T, Monjid A, Noguchi T, Toyofuku F, Ohki M, Nakamura Y, Honda H., Computer-aided classification of patients with dementia of Alzheimer's type based on cerebral blood flow determined with arterial spin labeling technique, Proc. of SPIE Vol. 7624 76241J-1, 2010.06.
47.	Arimura H, Shioyama Y, Nakamura K, Anai S, Nomoto S, Hirata H, Honda H, Toyofuku F, Onizuka Y, Terashima H, Automated Localization Method for a Lung Tumor on EPID Images without Implanted Markers in Stereotactic Body Radiotherapy, International Journal of Radiation Oncology Biology Physics 1 November 2009 (Vol. 75, Issue 3, Page S97), 2009.11.
48.	Kawata H, Arimura H, Suefuji H, Ohkura S, Ono H, Saida H, Hayabuchi N., Automated Identification of Radioactive Iodine-125 Seed Locations using Pelvic Radiography in Prostate Brachytherapy, International Journal of Radiation Oncology Biology Physics 1 November 2009 (Vol. 75, Issue 3, Page S629-S630), 2009.11.
49.	Magome T, Arimura H, Shioyama Y, Nomoto S, Ohnishi K, Honda H, Ohki M, Toyofuku F, Onizuka Y, Hirata H., Automated Selection Method for Similar MR Images with Brain Tumors for Assisting Radiation Treatment Planning, International Journal of Radiation Oncology Biology Physics 1 November 2009 (Vol. 75, Issue 3, Page S629-S630), 2009.11.
50.	Magome T, Arimura H, Kakeda S, Yamamoto D, Kawata Y, Yamashita Y, Ohki M, Toyofuku F, Higashida Y, Korogi Y., Automated method for segmentation of white matter and gray matter regions with multiple sclerosis in 3T MR images, IEICE Technical Report （信学技報 ）,vol.108, no.385, 9-10., 2009.01.
51.	Kawata Y, Arimura H, Yamashita Y, Magome T, Toyofuku F, Higashida H, Ohki M, Tsuchiya K., Computerized Detection of White Matter Hyperintensity Related to Subcortical Vascular Dementia Based on Automated and Semiautomated Segmentation, IEICE Technical Report （信学技報 ）,vol.108, no.385, 253-254., 2009.01.
52.	Yamamoto D, Arimura H, Kakeda S, Magome T, Yamashita Y, Ohki M, Toyofuku F, Higashida Y, Korogi Y., Computerized detection of multiple sclerosis lesions based on 3.0T two-dimensional magnetic resonance images, IEICE Technical Report （信学技報 ）,vol.108, no.385, 505-506., 2009.01.
53.	Arimura H, Yoshiura T, Kumazawa S, Tanaka K, Koga, H, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y., Computer-aided diagnostic method for classification of Alzheimer's disease with atrophic image features on MR images, Proc. of SPIE Vol.6915, 69151P-1 -8, 2008.06.
54.	Toyofuku F, Tokumori K, Higashida Y, Arimura H, Morishita J, Ohki M., Bone mineral imaging using a digital magnification mammography system, Proc. of SPIE Vol. 6913, 691358 , 2008.06.
55.	Arimura H, Anai S, Yoshidome S, Nakamura K, Shioyama Y, Nomoto S, Honda H, Onizuka Y, Terashima H., Computerized method for measurement of displacement vectors of target positions on EPID cine images in stereotactic radiotherapy, Proc. of SPIE Vol.6512, 65121U, 2007.06.
56.	Arimura H, Yoshiura T, Kumazawa S, Koga, H, Sakai S, Mihara F, Honda H, Ohki M, Toyofuku F, Higashida Y., Computerized method for automated measurement of thickness of cerebral cortex for 3-D MR images, Proc. of SPIE Vol.61443V, 1239-1246, 2006.06.
57.	Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Higashida Y, Toyofuku F., White Matter Fiber Tractography based on a Directional Diffusion Field in Diffusion Tensor MRI, Proc. of SPIE Vol.6144, 1260-1267, 2006.06.
58.	Arimura H, Li Q, Korogi Y, Hirai T, Yamashita Y, Katsuragawa S, Ikeda R, Doi K., CAD scheme for detection of intracranial aneurysms in MRA based on 3D analysis of vessel skeletons and enhanced aneurysms, Proc. of SPIE Vol.5747, 967-974, 2005.06.
59.	Arimura H, Katsuragawa S, Ishida T, Oda N, Nakata H, Doi K., Performance evaluation of an advanced method for automated identification of view positions of chest radiographs by use of a large database, Proc. of SPIE Vol. 4684, 308 -315, 2002.06.
60.	Maeda K, Arimura H, Kawashita I, Morikawa K, Ishida T, Matsumoto M, Kanamori H, Evaluation of influence of scattered x rays on signal sharpness of radiographs produced by using a CR system, Proc. of SPIE Vol. 4682, 675-682, 2002.06.
61.	Kawashita I, Maeda K, Arimura H, Morikawa K, Ishida T., Development of an automated method for evaluation of sharpness of digital radiographs using edge method, Proc. of SPIE Vol. 4320, 331-338 , 2001.06.
62.	Arimura H, Date T, Morikawa K, Kubota H, Matsumoto M, Kanamori H., Influence of scattered x rays on object sharpness of radiographs, Proc. of SPIE Vol. 3977, 506 -513, 2000.06.
63.	Arimura H, Okawa T, Kubota H, Matsumoto M, Kanamori H., Comparison of Wiener spectra of quantum mottle for screen-film systems with modulation transfer functions, Proc. of SPIE Vol. 3336, 675 -683 , 1998.06.
64.	Arimura H, Ikari T, Okamoto M, Nakamori N, Kanamori H, Kubota H, Matsumoto M, Takigawa A., X‐ray tube voltage dependence of Wiener spectra of quantum mottle obtained by determining detective quantum efficiencies of a screen, Opt. Eng.35, p.926- 937, 1996.06.
65.	Arimura H, Okamoto M, Ikari T, Kubota H, Matsumoto M, Takigawa A, Nakamori N, Kanamori H., X-ray tube voltage dependence of three factors of radiographic mottle for single and double emulsions, Proc. of SPIE Vol. 2708, 574－587, 1996.06.
66.	Arimura H, Ikari T, Okamoto M, Kubota H, Matsumoto M, Takigawa A, Nakamori N, Kanamori H., X-ray tube voltage dependence of detective quantum efficiencies of front and back screens , Proc. of SPIE Vol. 2519, p12－23, 1995.06.
67.	Arimura H, Ikeda T, Ikari T, Kubota H, Matsumoto M, Takigawa A, Nakamori N, Kanamori H., X-ray tube voltage dependence of Rossmann's three factors in Wiener spectra of radiographic mottles of a low-speed screen/film system, Proc. of SPIE Vol. 2163, p42-53, 1994.06.

Papers

 Show All Papers >>

1.	YiZhi Tong, Hidetaka Arimura, Tadamasa Yoshitake, Yunhao Cui,Takumi Kodama, Yoshiyuki Shioyama, Ronnie Wirestam, Hidetake Yabuuchi., Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning, Applied Sciences 2024 (Published: 13 April 2024), https://doi.org/10.3390/app14083275, 2024.04, [URL].
2.	Yuko Isoyama-Shirakawa, Tadamasa Yoshitake, Kenta Ninomiya, Kaori Asa, Keiji Matsumoto, Yoshiyuki Shioyama, Takumi Kodama, Kousei Ishigami, Hidetaka Arimura, Combination of Clinical Factors and Radiomics Can Predict Local Recurrence and Metastasis After Stereotactic Body Radiotherapy for Non-small Cell Lung Cancer, Anticancer Res. 2023;43(11):5003-5013. , 10.21873/anticanres.16699, 2023.11, [URL].
3.	Mai Egashira, Hidetada Arimura, Kazuma Kobayashi, Kazutoshi Moriyama, Takumi Kodama, Tomoki Tokuda, Kenta Ninomiya, Hiroyuki Okamoto, Hiroshi Igaki, Magnetic Resonance-Based Imaging Biopsy with Signatures Including Topological Betti Number Features for Prediction of Primary Brain Metastatic Sites, Physical and Engineering Sciences in Medicine (Published: 21 August 2023), 2023.08, [URL].
4.	Yunhao Cui, Hidetaka Arimura, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi, Deep learning model fusion improves lung tumor segmentation accuracy across variable training-to-test dataset ratios, Physical and Engineering Sciences in Medicine (Published: 07 August 2023), 10.1007/s13246-023-01295-8, 2023.08, [URL].
5.	Kenta Ninomiya, Hidetaka Arimura, Kentaro Tanaka, Wai Yee Chan, Yutaro Kabata, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng, Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients, Computer Methods and Programs in Biomedicine (Volume 236, June 2023, 107544), 2023.06, [URL].
6.	Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno, Satoshi Ansai, CT image-based biopsy to aid prediction of HOPX expression status and prognosis for non-small cell lung cancer patients, Cancers 2023, 15(8), 2220 (Published:10 April 2022), 2023.04, [URL].
7.	Kojiro Ikushima, Hidetaka Arimura, Ryuji Yasumatsu, Hidemi Kamezawa, Kenta Ninomiya, Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images, Magnetic Resonance Materials in Physics, Biology and Medicine, Published: 20 April 2023, 2023.04, [URL].
8.	Hidemi KAMEZAWA, Hidetaka ARIMURA, Recurrence prediction with local binary pattern-based dosiomics in patients with head and neck squamous cell carcinoma, Physical and Engineering Sciences in Medicine (Published: 05 December 2022), https://doi.org/10.1007/s13246-022-01201-8, 2022.12, [URL].
9.	Noriyuki Nagami, Hidetaka Arimura, Junichi Nojiri, Cui Yunhao, Kenta Ninomiya, Manabu Ogata, Mitsutoshi Oishi, Keiichi Ohira, Shigetoshi Kitamura, Hiroyuki Irie., Dual segmentation models for poorly and well-differentiated hepatocellular carcinoma using two-step transfer deep learning on dynamic contrast-enhanced CT images, Physical and Engineering Sciences in Medicine (Published: 05 December 2022), https://doi.org/10.1007/s13246-022-01202-7, 2022.12, [URL].
10.	Quoc Cuong Le, Hidetaka Arimura, Kenta Ninomiya, Takumi Kodama, Tetsuhiro Moriyama, Can persistent homology features capture more intrinsic in-formation about tumors from 18F-fluorodeoxyglucose positron emission tomography/computed tomography images of head and neck cancer patients?, Metabolites 12(972) 1-12, 2022.10, [URL].
11.	Masayuki Yamanouchi, Hidetaka Arimura,Takumi Kodama, Akimasa Urakami, Prediction of Intracranial Aneurysm Rupture Risk Using Non-Invasive Radiomics Analysis Based on Follow-Up Magnetic Resonance Angiography Images: A Preliminary Study, APPLIED SCIENCES-BASEL 12(17), 2022.09, [URL].
12.	Kodama Takumi, Arimura Hidetaka, Shirakawa Yumi, Ninomiya Kenta, Yoshitake Tadamasa, Shioyama Yoshiyuki., Relapse predictability of topological signature on pretreatment planning CT images of stage I non-small cell lung cancer patients before treatment with stereotactic ablative radiotherapy., Thoracic cancer 13(15) 2117-2126 , 2022.08, [URL], 本研究は、定位切除放射線治療（SABR）を受ける前のI期非小細胞肺がん（NSCLC）患者の治療前計画CT画像において、局所再発と遠隔転移に関連するトポロジカルシグネチャーの予測可能性を探ることを目的とした。反転トポロジーシグネチャーは、SABRを受ける前のI期NSCLC患者の局所再発および遠隔転移予測を改善する可能性を示した。.
13.	Kenta Ninomiya, Hidetaka Arimura, Tadamasa Yoshitake, Taka-aki Hirose, Yoshiyuki Shioyama., Synergistic combination of a topologically invariant imaging signature and a biomarker for the accurate prediction of symptomatic radiation pneumonitis before stereotactic ablative radiotherapy for lung cancer: A retrospective analysis., PloS one 17(1) e0263292, https://doi.org/10.1371/journal.pone.0263292, 2022.01, [URL], We aimed to explore the synergistic combination of a topologically invariant Betti number (BN)-based signature and a biomarker for the accurate prediction of symptomatic (grade≥2) radiation-induced pneumonitis (RP+) before stereotactic ablative radiotherapy (SABR) for lung cancer.
14.	Akimasa Urakami, Hidetaka Arimura, Yukihisa Takayama, Fumio Kinoshita, Kenta Ninomiya, Kenjiro Imada, Sumiko Watanabe, Akihiro Nishie, Yoshinao Oda, Kousei Ishigami, Stratification of prostate cancer patients into low- and high-grade groups using multiparametric magnetic resonance radiomics with dynamic contrast-enhanced image joint histograms, The Prostate 82(3) 330-344, 2022.02, [URL], This study aimed to investigate the potential of stratification of prostate cancer patients into low- and high-grade groups (GGs) using multiparametric magnetic resonance (mpMR) radiomics in conjunction with two-dimensional (2D) joint histograms computed with dynamic contrast-enhanced (DCE) images. This study suggests that the proposed approach could have the potential to stratify prostate cancer patients into low- and high-GGs..
15.	Yunhao Cui, Hidetaka Arimura, Risa Nakano, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi, Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks, Journal of Radiation Research, Volume 62, Issue 2, March 2021, Pages 346–355, https://doi.org/10.1093/jrr/rraa132, 2021.03, [URL].
16.	Kenta Ninomiya, Hidetaka Arimura, Wai Yee Chan, Kentaro Tanaka, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng, Robust identification of EGFR mutated NSCLC patients from three countries using Betti numbers, PloS one 16(1) e0244354, 2021.01, [URL], We have proposed a novel robust radiogenomics approach to the identification of epidermal growth factor receptor (EGFR) mutations among patients with non-small cell lung cancer (NSCLC) using Betti numbers (BNs).The proposed model showed higher robustness than the conventional models in the identification of EGFR mutations among NSCLC patients.The results suggested the robustness of the BN-based approach against variations in image scanner/scanning parameters..
17.	Quoc Cuong Le, Hidetaka Arimura, Kenta Ninomiya, Yutaro Kabata, Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients, Scientific Reports 10, 21301 (2020), https://doi.org/10.1038/s41598-020-78338-7, 2020.12, [URL], This study demonstrated the usefulness of radiomic features based on the Hessian index of differential topology for the prediction of prognosis prior to treatment in head-and-neck (HN) cancer patients. The Hessian index, which can indicate tumor heterogeneity with convex, concave, and other points (saddle points), was calculated as the number of negative eigenvalues of the Hessian matrix at each voxel on computed tomography (CT) images. This result indicates that index features could provide more prognostic information than conventional features and further increase the prognostic value of clinical variables in HN cancer patients..
18.	Hidemi KAMEZAWA, Hidetaka ARIMURA, Ryuji YASUMATSU, Kenta NINOMIYA, Shu HASEAI, Preoperative and non-invasive approach for radiomic biomarker-based prediction of malignancy grades in patients with parotid gland cancer in magnetic resonance images, Medical Imaging and Information Sciences 2020 Volume 37 Issue 4, 2020.12, [URL].
19.	Taka-aki Hirose, Hidetaka Arimura, Kenta Ninomiya, Tadamasa Yoshitake, Jun-ichi Fukunaga, Yoshiyuki Shioyama, Radiomic prediction of radiation pneumonitis on pretreatment planning computed tomography images prior to lung cancer stereotactic body radiation therapy, Scientific Reports 10, 20424 (2020), https://doi.org/10.1038/s41598-020-77552-7, 2020.11, [URL], This study developed a radiomics-based predictive model for radiation-induced pneumonitis (RP) after lung cancer stereotactic body radiation therapy (SBRT) on pretreatment planning computed tomography (CT) images. The radiomic features calculated on pretreatment planning CT images could be predictive imaging biomarkers for RP after lung cancer SBRT.
20.	Leni Aziyus Fitria, Freddy Haryanto, Hidetaka Arimura, Cui YunHao,Kenta Ninomiya, Risa Nakano, Mohammad Haekal, Yuni Warty, Umar Fauzi, Automated classification of urinary stones based on microcomputed tomography images using convolutional neural network, Physica Medica Vol.78, October 2020, Pages 201-208, https://doi.org/10.1016/j.ejmp.2020.09.007, 2020.10, [URL].
21.	Toya R, Saito T, Matsuyama T, Kai Y, Shiraishi S, Murakami D, Yoshida R, Watakabe T, Sakamoto F, Tsuda N, Arimura H, Orita Y, Nakayama H, Oya N, Diagnostic Value of FDG-PET/CT for the Identification of Extranodal Extension in Patients With Head and Neck Squamous Cell Carcinoma., Anticancer Res. 2020;40(4):2073-2077., doi:10.21873/anticanres.14165, 2020.04.
22.	Shu Haseai, Hidetaka Arimura, Kaori Asai, Tadamasa Yoshitake, Yoshiyuki Shioyama, Similar-cases-based planning approaches with beam angle optimizations using water equivalent path length for lung stereotactic body radiation therapy, Radiological Physics and Technology, https://doi.org/10.1007/s12194-020-00558-3, 2020.03, [URL].
23.	Yudai Kai, Hidetaka Arimura, Kenta Ninomiya, Tetsuo Saito, Yoshinobu Shimohigashi, Akiko Kuraoka, Masato Maruyama, Ryo Toya, Natsuo Oya, Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy, Journal of Radiation Research,Volume 61, Issue 2, Pages 285–297, https://doi.org/10.1093/jrr/rrz105, 2020.03.
24.	Taka-aki Hirose, Hidetaka Arimura, Jun-ichi Fukunaga, Saiji Ohga, Tadamasa Yoshitake, Yoshiyuki Shioyama, Observer Uncertainties of Soft Tissue-based Patient Positioning in IGRT, Journal of Applied Clinical Medical Physics, Volume 21, Issue 2, Pages: 73-81, https://doi.org/10.1002/acm2.12817, 2020.01, [URL].
25.	Yudai Kai, Hidetaka Arimura, Ryo Toya, Tetsuo Saito, Tomohiko Matsuyama, Yoshiyuki Fukugawa, Shinya Shiraishi, Yoshinobu Shimohigashi, Masato Maruyama, Natsuo Oya, Comparability of rigid image registration with deformable image registration for diagnostic position PET/CT images in delineation of gross tumor volumes in nasopharyngeal carcinoma radiotherapy planning: An observer study, Japanese Journal of Radiology, vol.38, pp256–264, https://doi.org/10.1007/s11604-019-00911-6, 2020.03, [URL].
26.	Alamgir Hossain, Hidetaka ARIMURA, Fumio Kinoshita, Kenta Ninomiya, Sumiko Watanabe, Kenjiro Imada, Ryoma Koyanagi, Yoshinao Oda, Automated Approach for Estimation of Grade Groups for Prostate Cancer based on Histological Image Feature Analysis, The Prostate, Volume 80 Issue 3 Page 291-302 Published 2020, DOI:10.1002/pros.23943, 2020.02, [URL].
27.	Kenta NINOMIYA, Hidetaka ARIMURA, Homological radiomics analysis for prognostic prediction in lung cancer patients, Physica Medica: European Journal of Medical Physics, Volume 69 Page 90-100, DOI:10.1016/j.ejmp.2019.11.026, 2020.01, [URL].
28.	Motoki SASAHARA, Hidetaka ARIMURA, Kenta NINOMIYA, Takaaki HIROSE, Noriyuki NAGAMI, Yudai KAI, Yusuke SHIBAYAMA, Saiji OHGA, Junnichi FUKUNAGA , Machine-Learning-Based Framework for Estimation of Prostate Locations with Anatomical Feature Points on CBCT Images for Image-Guided Target-Based Patient Positioning in Prostate Cancer Radiotherapy, Medical Imaging and Information Sciences 2019 Volume 36 Issue 3 Pages 122-127 , https://doi.org/10.11318/mii.36.122 , 2019.10.
29.	Tran Thi Thao Nguyen, Hidetaka Arimura, Ryosuke Asamura, Taka-aki Hirose, Saiji Ohga, Jun-ichi Fukunaga, Comparison of volumetric-modulated arc therapy and intensity-modulated radiation therapy prostate cancer plans accounting for cold spots, Radiol Phys Technol. 2019 Jun;12(2):137-148. Epub 2019 Feb 25., doi: 10.1007/s12194-019-00502-0, 2019.06.
30.	Noriyuki Nagami, Hidetaka Arimura, Mazen Soufi, Mitsutoshi Ohishi, Takeshi Imaizumi, Yoshimasa Yamagushi, Kenta Ninomiya, Sunao Tokumaru, Shingo Toyama, Kanako Kawasaki, Aiko Kitazato, Satoshi Takita, Kouji Uba, Hiroyuki Irie, An approach for evaluation of delineation accuracy of GTV contours with considering interobserver variability in reference contours: Impact of MAR on radiation treatment planning, Medical Imaging and Information Sciences 2019 Volume 36 Issue 1 Pages 4-9 , https://doi.org/10.11318/mii.36.4, 2019.03.
31.	Kenta NINOMIYA, Hidetaka ARIMURA, Motoki SASAHARA, Yudai KAI, Taka-aki HIROSE, Saiji OHGA, Feasibility of anatomical feature points for estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy, Radiological Physics and Technology 2018, 11:434–444, https://doi.org/10.1007/s12194-018-0481-2, 2018.11.
32.	Taka-aki Hirose, Hidetaka Arimura, Yusuke Shibayama, Jun-ichi Fukunaga, Saiji Ohga, Effect of accounting for interfractional CTV shape variations in PTV margins on prostate cancer radiation treatment plans, Physica Medica: European Journal of Medical Physics, October 2018, Volume 54, Pages 66–76, https://doi.org/10.1016/j.ejmp.2018.09.008, 2018.10.
33.	Mazen Soufi, Hidetaka Arimura, Noriyuki Nagami, Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition-based radiomic features, Medical Physics 2018 Nov;45(11):5116-5128. Epub 2018 Oct 19., doi: 10.1002/mp.13202., 2018.10, Purpose : To identify the optimal mother wavelets in survival prediction of lung cancer patients using wavelet-decomposition-based (WDB) radiomic features in CT images. Materials and Methods: CT images of patients with histologically confirmed non-small cell lung carcinomas (NSCLCs) in Training (Dataset T; n = 162) and validation (Dataset V; n = 143) datasets were analyzed for this study. The optimal mother wavelets were identified based on the impacts of the WDB radiomic features on the patient survival times. 432 three-dimensional WDB radiomic features were calculated from regions of interest (ROI) of 162 tumor contours. A Coxnet algorithm was used to select a subset of radiomic features (signature) based on the prediction of survival times with a 5-fold cross-validation. The impacts of the radiomic features on the patients’ survival times were assessed by using a multivariate Cox proportional hazard regression (MCPHR) model. The major contribution of this study was to identify optimal mother wavelets based on a maximization of a novel ranking index (RI) incorporating the Coxnet prediction error and the summation of the p-values of the radiomic features in the MCPHR model on Dataset T. The prognostic performance of the optimal mother wavelets was validated based on the concordance index (CI) of the MCPHR models when applied to Dataset V. The proposed approach was tested by using 31 mother wavelets from 6 wavelet families that were available in a commercially available software (Matlab® 2016b). Results: The optimal mother wavelets were Symlet 5 and Biorthogonal 2.6 at 128 re-quantization levels, which yielded RIs of 4.27±0.29 (3 features) and 6.50±0.50 (5 features), respectively. The CIs of the MCPHR models of Symlet 5 were 0.66±0.03 (Dataset T) and 0.64±0.00 (Dataset V), whereas those of Biorthogonal 2.6 were 0.68±0.03 (Dataset T) and 0.62±0.02 (Dataset V). The radiomic signatures included the GLRLM-based HLH gray level non-uniformity feature that demonstrated statistically significant differences in stratifying patients with better and worse prognoses in Datasets T and V. Conclusion: This study has revealed the potential of Symlet and Biorthogonal mother wavelets in the survival prediction of lung cancer patients by using WDB radiomic features in CT images..
34.	Satoshi Yoshidome, Hidetaka Arimura, Kotaro Terashima, Masakazu Hirakawa, Taka-aki Hirose, Junichi Fukunaga, Yasuhiko Nakamura, Hiroshi Honda, Automated and robust estimation framework for lung tumor location in kilovolt cone-beam computed tomography images for target-based patient positioning in lung stereotactic body radiotherapy, Medical Imaging and Information Sciences 2018 Vol. 35 No.3, pp. 48-54, https://doi.org/10.11318/mii.35.48, 2018.09.
35.	Hidemi Kamezawa, Hidetaka Arimura, Hiroyuki Arakawa, Noboru Kameda, Investigation for a practical patient dose index for assessment of patient organ dose from cone-beam computed tomography in radiation therapy using a Monte Carlo simulation, Radiation Protection Dosimetry, Volume 181, Issue 4, 1 November 2018, Pages 333–342, https://doi.org/10.1093/rpd/ncy032, 2018.03.
36.	Mohammad Haekal, Hidetaka Arimura, Taka-aki Hirose, Yusuke Shibayama, Saiji Ohga, Junichi Fukunaga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Computational analysis of interfractional anisotropic shape variations of the rectum in prostate cancer radiation therapy, Physica Medica: European Journal of Medical Physics, Volume 46, February 2018, Pages 168-179, https://doi.org/10.1016/j.ejmp.2017.12.019, 2018.02.
37.	Mazen Soufi, Hidetaka Arimura, Takahiro Nakamoto, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Exploration of temporal stability and prognostic power of radiomic features based on electronic portal imaging device images, Physica Medica: European Journal of Medical Physics, Volume 46, February 2018, Pages 32-44, https://doi.org/10.1016/j.ejmp.2017.11.037, 2018.02.
38.	Yasuo Kawata, Hidetaka Arimura, Koujiro Ikushima, Ze Jin, Kento Morita, Chiaki Tokunaga, Hidetake Yabu-uchi, Yoshiyuki Shioyama, Tomonari Sasaki, Hiroshi Honda, Masayuki Sasaki, Impact of Pixel-based Machine-Learning Techniques on Automated Frameworks for Delineation of Gross Tumor Volume Regions for Stereotactic Body Radiation Therapy, Physica Medica: European Journal of Medical Physics　Volume 42, October 2017, Pages 141-149, 2017.10.
39.	Noriyuki Kadoya, Kumiko Karasawa, Iori Sumida, Hidetaka Arimura, Yasumasa Kakinohana, Shigeto Kabuki, Hajime Monzen, Teiji Nishio, Hiroki Shirato, Syogo Yamada, Educational outcomes of a medical physicist program over the past 10 years in Japan, Journal of Radiation Research 1-6. DOI: https://doi.org/10.1093/jrr/rrx016 , https://doi.org/10.1093/jrr/rrx016 , 2017.04.
40.	Yusuke Shibayama, Hidetaka Arimura, Taka-aki Hirose, Takahiro Nakamoto, Tomonari Sasaki, Saiji Ohga, Norimasa Matsushita, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Investigation of interfractional shape variations based on statistical point distribution model for prostate cancer radiation therapy, Medical Physics, Volume 44, Issue 5, Pages 1837–1845, DOI:10.1002/mp.12217, First published: 20 April 2017, 10.1002/mp.12217, 2017.05, Purpose: The setup errors and organ motion errors pertaining to clinical target volume (CTV) have been considered as two major causes of uncertainties in the determination of the CTV-to-planning target volume (PTV) margins for prostate cancer radiation treatment planning. We based our study on the assumption that interfractional target shape variations are not negligible as another source of uncertainty for the determination of precise CTV-to-PTV margins. Thus, we investigated the interfractional shape variations of CTVs based on a point distribution model (PDM) for prostate cancer radiation therapy. Materials and Methods: To quantify the shape variations of CTVs, the PDM was applied for the contours of 4 types of CTV regions (low-risk, intermediate- risk, high-risk CTVs, and prostate plus entire seminal vesicles), which were delineated by considering prostate cancer risk groups on planning computed tomography (CT) and cone beam CT (CBCT) images of 73 fractions of 10 patients. The standard deviations (SDs) of the interfractional random errors for shape variations were obtained from covariance matrices based on the PDMs, which were generated from vertices of triangulated CTV surfaces. The correspondences between CTV surface vertices were determined based on a thin plate spline robust point matching algorithm. The systematic error for shape variations was defined as the average deviation between surfaces of an average CTV and planning CTVs, and the random error as the average deviation of CTV surface vertices for fractions from an average CTV surface. Results: The means of the SDs of the systematic errors for the 4 types of CTVs ranged from 1.0 to 2.0 mm along the anterior direction, 1.2 to 2.6 mm along the posterior direction, 1.0 to 2.5 mm along the superior direction, 0.9 to 1.9 mm along the inferior direction, 0.9 to 2.6 mm along the right direction, and 1.0 to 3.0 mm along the left direction. Concerning the random errors, the means of the SDs ranged from 0.9 to 1.2 mm along the anterior direction, 1.0 to 1.4 mm along the posterior direction, 0.9 to 1.3 mm along the superior direction, 0.8 to 1.0 mm along the inferior direction, 0.8 to 0.9 mm along the right direction, and 0.8 to 1.0 mm along the left direction. Conclusions: Since the shape variations were not negligible for intermediate and high risk CTVs, they should be taken into account for the determination of the CTV-to-PTV margins in radiation treatment planning of prostate cancer..
41.	Takahiro Nakamoto, Hidetaka Arimura, KENICHI MOROOKA, Yasuhiko Nakamura, Tomonari Sasaki, Taka-aki Hirose, Yoshiyuki Umedu, Hiroshi Honda, Hideki Hirata, A framework for estimating four-dimensional dose distributions during stereotactic body radiation therapy based on a 2D/3D registration technique with an adaptive transformation parameter approach, Medical Imaging and Information Sciences, Vol. 33(2016) No. 3, p.48-56, DOI:doi.org/10.11318/mii.33.48, 2016.10.
42.	Koujiro Ikushima, Hidetaka Arimura, Ze Jin, Hidetake Yabu-uchi, Jumpei Kuwazuru, Yoshiyuki Shioyama, Tomonari Sasaki, Hiroshi Honda, Masayuki Sasaki, Computer-assisted framework for machine-learning-based delineation of GTV regions on datasets of planning CT and PET/CT images, Journal of Radiation Research, Volume 58, Issue 1,123-134, Published: 23 January 2017, DOI: 10.1093/jrr/rrw082, DOI 10.1093/jrr/rrw082, 2017.01.
43.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Fauzia P. Lestari, Freddy Haryanto, Taka-aki Hirose, Yoshiyuki Umedu, Yoshiyuki Shioyama, Fukai Toyofuku, Feasibility of Differential Geometry-Based Features in Detection of Anatomical Feature Points on Patient Surfaces in Range Image-Guided Radiation Therapy, International Journal of Computer Assisted Radiology and Surgery, November 2016, Volume 11, Issue 11, pp 1993–2006, First Online: 13 June 2016, DOI:10.1007/s11548-016-1436-x, 2016.11.
44.	Yoshifumi Oku, Hidetaka Arimura, Tran Thi Thao Nguyen, Yoshiyuki Hiraki, Masahiko Toyota, Yasumasa Saigo, Takashi Yoshiura, Hideki Hirata, Investigation of whether in-room CT-based adaptive intracavitary brachytherapy for uterine cervical cancer is robust against interfractional location variations of organs and/or applicators, Journal of Radiation Research (2016) 57 (6): 677-683, 2016 Jun 13, Published: 02 December 2016, DOI:10.1093/jrr/rrw043, 2016.11.
45.	Hidemi Kamezawa, Hidetaka Arimura, Katsutoshi Shirieda, Noboru Kameda, Masafumi Ohki, Feasibility of patient dose reduction based on various noise suppression filters for cone-beam computed tomography in an image-guided patient positioning system, Physics in Medicine and Biology 2016 May 7;61(9):3609-36. Doi: 10.1088/0031-9155/61/9/3609 (Epub 2016 Apr 11), 2016.05.
46.	Ze Jin, Hidetaka Arimura, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, An Ellipsoid Convex Enhancement Filter for Detection of Asymptomatic Intracranial Aneurysm Candidates in CAD Frameworks, Medical Physics Vol.43, No.2, 951 (2016); http://dx.doi.org/10.1118/1.4940349 (Jan. 28, 2016), 2016.01.
47.	Noriyuki Kadoya, Kumiko Karasawa, Iori Sumida, Hidetaka Arimura, Syogo Yamada, The current status of education and career paths of students after completion of medical physicist programs in Japan: a survey by the Japanese Board for Medical Physicist Qualification, Radiological Physics and Technology, DOI 10.1007/s12194-015-0317-2, DOI 10.1007/s12194-015-0317-2, 2015.06.
48.	Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Asumi Mizoguchi, Taka-aki Hirose, Hiroshi Honda, Yoshiyuki Umedu, Yasuhiko Nakamura, Hideki Hirata, A computerized framework for monitoring four-dimensional dose distributions during stereotactic body radiation therapy using a portal dose image-based 2D/3D registration approach, Computerized Medical Imaging and Graphics, DOI: http://dx.doi.org/10.1016/j.compmedimag.2014.12.003, March 2015 Volume 40, Pages 1–12 , 2015.03.
49.	Satoshi Yoshidome, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Kazushige Atsumi, Hideki Yoshikawa, Kei Nishikawa, Hideki Hirata, Feasibility study of automated framework for estimating lung tumor locations for target-based patient positioning in stereotactic body radiotherapy, doi.org/10.1155/2015/653974, BioMed Research International, Article ID 653974, 2014.12.
50.	Ze Jin, Hidetaka Arimura, Yoshiyuki Shioyama, Katsumasa Nakamura, Jumpei Kuwazuru, Taiki Magome, Hidetake Yabuuchi, Hiroshi Honda, Hideki Hirata, Masayuki Sasaki, Computer-Assisted Delineation of Lung Tumor Regions in Treatment Planning CT Images with PET/CT Image Sets Based on an Optimum Contour Selection Method, Journal of Radiation Research, 10.1093/jrr/rru056, 2014 Nov;55(6):1153-62, 2014.11.
51.	Natsuo Tomita, Takeshi Kodaira, Teruki Teshima, Kazuhiko Ogawa, Yu Kumazaki, Chikako Yamauchi, Takafumi Toita, Takashi Uno, Minako Sumi, Hiroshi Onishi, Masahiro Kenjo, Katsumasa Nakamura, Hodaka Numasaki, Masahiko Koizumi, Yuki Otani, Naoto Shikama, Naoki Nakamura, Kiyotomo Matsugi, Hidetaka Arimura, Yoshiyuki Shioyama, Japanese Structure Survey of High-precision Radiotherapy in 2012 Based on Institutional Questionnaire about the Patterns of Care, Jpn J Clin Oncol., 10.1093/jjco/hyu041, 44(6)579–586, 2014.04.
52.	Hidetaka Arimura, Genyu Kakiuchi, Yoshiyuki Shioyama, Shin-ichi Minohara, Takahiro Nakamoto, Katsumasa Nakamura, Hiroshi Honda, Mutsumi Tashiro, Tatsuaki Kanai, Hideki Hirata, Quantitative evaluation of the robustness of beam directions based on power spectral analysis of water-equivalent path length image in charged particle therapy, International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 6, No.1, 1-16, 2014.07.
53.	Taiki Magome, Hidetaka Arimura, Yoshiyuki Shioyama, Katsumasa Nakamura, Hiroshi Honda, Hideki Hirata, Similar-case-based optimization of beam arrangements in stereotactic body radiotherapy for assisting treatment planners, BioMed Research International, Volume 2013 (2013), Article ID 309534, 10 pages, http://dx.doi.org/10.1155/2013/309534, 2013.11.
54.	Taiki Magome, Hidetaka Arimura, Yoshiyuki Shioyama, Asumi Mizoguchi, Chiaki Tokunaga, Katsumasa Nakamura, Hiroshi Honda, Masafumi Ohki, Fukai Toyofuku, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Computer-aided beam arrangement based on similar cases in radiation treatment planning databases for stereotactic lung radiation therapy., Journal of Radiation Research, 10.1093/jrr/rrs123, 54, 3, 569-577, 2013.05.
55.	Arimura H, Itano W, Shioyama Y, Matsushita N, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Yamagami A, Honda H, Ohki M, Toyofuku F, Hirata H., Computerized estimation of patient setup errors in portal images based on localized pelvic templates for prostate cancer radiotherapy, Journal of Radiation Research, 1;53(6):961-72, 2012.11.
56.	Kawata H, Arimura H, Suefuji H, Ohkura S, Saida Y, Nashiki K, Hayashida K, Kawahara T, Ohishi A, Hayabuchi N., Automated Estimation of Number of Implanted Iodine-125 Seeds for Prostate Brachytherapy based on Two-View Analysis of Pelvic Radiographs, Journal of Radiation Research, 53(5):742-52, 2012.09.
57.	Kuwazuru J, Arimura H, Kakeda S, Yamamoto D, Magome T, Yamashita Y, Ohki M, Toyofuku F, Korogi Y., Automated Detection of Multiple Sclerosis Candidate Regions in MR Images: False-Positive Removal with Use of an ANN-controlled Level Set Method, Radiological Physics and Technology , 5(1):105-13., 2012.01.
58.	Anai S, Arimura H, Nakamura K, Araki F, Matsuki T, Yoshikawa H, Yoshidome S, Shioyama Y, Honda H, Ikeda N., Estimation of focal and extra-focal radiation profiles based on Gaussian modeling in medical linear accelerators, Radiological Physics and Technology, 4(2):173-9, 2011.07.
59.	Atsumi K, Shioyama Y, Arimura H, Terashima K, Matsuki T, Ohga S, Yoshitake T, Nonoshita T, Tsurumaru D, Ohnishi K, Asai K, Matsumoto K, Nakamura K, Honda H., Esophageal Stenosis Associated with Tumor Regression in Radiation Therapy for Esophageal Cancer: Frequency and Prediction, International Journal of Radiation Oncology, Biology, Physics, 1;82(5):1973-80, 2012.04.
60.	Magome T, Arimura H, Kakeda S, Yamamoto D, Kawata Y, Yamashita Y, Higashida Y, Toyofuku F, Ohki M, Korogi Y., Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images., Radiological Physics and Technology, Volume 4, Issue 1 (2011), 61-72, 2011.01, 多発性硬化症患者の脳萎縮の程度を定量的に評価することは非常に難しい．そこで，本研究では，脳萎縮の程度を定量的に評価するために，頭部MR画像から多発性硬化症病変部を含む大脳白質・灰白質領域を自動抽出する手法を世界で初めて開発した．その結果，提案手法が多発性硬化症における大脳白質・灰白質領域を自動抽出するために有用であり，多発性硬化症患者の萎縮を評価するための，ツールとして役立つ可能性を示した．.
61.	Yamamoto D, Arimura H, Kakeda S, Magome T, Yamashita Y, Toyofuku F, Ohki M, Higashida Y, Korogi Y., Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine, Computerized Medical Imaging and Graphics, 34,404-413, 2010.05.
62.	Kawata Y, Arimura H, Yamashita Y, Magome T, Ohki M, Toyofuku F, Higashida Y, Tsuchiya K., Computer-Aided Evaluation Method of White Matter Hyperintensities Related to Subcortical Vascular Dementia Based on Magnetic Resonance Imaging, Computerized Medical Imaging and Graphics, 34,370-376, 2010.05.
63.	Yoshitake T, Shioyama Y, Nakamura K, Ohga S, Nonoshita T, Ohnishi K, Terashima K, Arimura H, Hirata H, Honda H., A clinical evaluation of visual feedback-guided breath-hold reproducibility of tumor location, Physics in Medicine and Biology, 54, 7171-7182, 2009.11.
64.	Arimura H, MagomeT, Yamashita Y, Yamamoto D., Computer-aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images, Algorithms, 2009, 2(3), 925-952, 2009.07.
65.	Yoshiura T, Noguchi T, Hiwatashi A, Togao O, Yamashita K, Nakao T, Nagao E, Kumazawa S, Arimura H, Honda H., Age-Related Microstructural Changes in Subcortical White Matter During Postadolescent Periods in Men Revealed by Diffusion-Weighted MR Imaging., Human Brain Mapping, 30(10):3142-50, 2009.10.
66.	Arimura H, Egashira Y, Shioyama Y, Nakamura K, Yoshidome S, Anai S, Nomoto S, Honda H, Toyofuku F, Higashida Y, Onizuka Y, Terashima H., Computerized method for estimation of the location of a lung tumor on EPID cine images without implanted markers in stereotactic body radiotherapy, Physics in Medicine and Biology, 54, 665-677, 2009.02.
67.	Yoshidome S, Arimura H, Kakeda S, Korogi Y, Tsuchiiya K, Katsuragawa S, Doi K, Performance evaluation of a CAD scheme for detection of intracranial aneurysms in MRA images based on a cross-validation test with four different databases. , International Journal of Computer Assisted Radiology and Surgery(CARS) , Vol.3(Suppl 1), S203-204, 2008.07.
68.	Yamamoto D, Arimura H, Kakeda S, Magome T, Yamashita Y, Ohki M, Toyofuku F, Higashida Y, Korogi Y, Computer-aided detection of multiple sclerosis lesions based on three types of blain MR images, International Journal of Computer Assisted Radiology and Surgery(CARS), Vol.3(Suppl 1), S202-203, 2008.07.
69.	Arimura H, Yoshiura T, Kumazawa S, Mihara F, Honda H, TanakaK, Koga H, Sakai S, Toyofuku F, Higashida Y., Computerized method for classification of patients with Alzheimer's disease based on segmentation of serebral cortical regions including hippocampal regions. , International Journal of Computer Assisted Radiology and Surgery(CARS), Vol.3(Suppl1), S201-202, 2008.07.
70.	Yamashita Y, Arimura H, Tsuchiya K., Computer-aided Detection of Ischemic Lesions related to Subcortical Vascular Dementia on Magnetic Resonance Images., Academic Radiology, 15:978-985, 2008.06.
71.	Yoshiura T, Kumazawa S, Noguchi T, Hiwatashi A, Togao O, Yamashita K, Arimura H, Higashida Y, Toyofuku F, Mihara F, Honda H., MR Tractography Based on Directional Diffusion Function:Validation in Somatotopic Organization of the Pyramidal Tract., Academic Radiology, Vol. 15, Issue 2, 186-192 , 2008.03.
72.	Kakeda S, Korogi Y, Arimura H, Hirai T, Katsuragawa S, Aoki T, Doi K., Diagnostic Accuracy and Reading Time to Detect Intracranial Aneurysms on MR Angiography Using a Computer-Aided Diagnosis System., American Journal of Roentgenology, Vol. 190, 459-465, 2008.03.
73.	Arimura H, Yoshiura, Kumazawa S, Tanaka K, Koga H, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y., Automated Method for Identification of Patients With Alzheimer’s Disease Based on Three-dimensional MR Images., Academic Radiology, Vol.15, No.3, 274-284, 2008.03.
74.	Yamashita K, Yoshiura T, Arimura H, Yamashita Y, Mihara F, Noguchi T, Hiwatashi A, Togao O, Kumazawa S, Higashida Y, Honda.H., Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images., American Journal Neuroradiology, 29:1153-1158, 2008.03.
75.	Arimura H, Yoshiura T, Kumazawa S, Tanaka K, Koga H, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y., Computer-aided diagnostic method for classification of Alzheimer's disease with atrophic image features on MR images., SPIE Proceedings, Vol.6915, 69151P-1-8, 2008.02.
76.	Toyofuku F, Tokumori K, Higashida Y, Arimura H, Morishita J, Ohki M., Bone mineral imaging using a digital magnification mammography system., SPIE Proceedings, Vol.6915, 691358-1-8, 2008.02.
77.	Arimura H, Yoshidome S, Anai S, Shioyama Y, Nakamura K, Nomoto S, Honda H, Onizuka Y, Terashima H., Automated Method for Recognition of a Tumor Displacement on EPID Without Implanted Markers in　Stereotactic Radiotherapy., International Journal of Radiation Oncology Biology Physics, Vol.69, Issue3, S685-S686, 2007.11.
78.	Arimura H, Yoshiura T, Kumazawa S, Tanaka T, Koga H, Sakai S, Mihara F, Honda H, Toyofuku F, Higashida Y., SVM-based Method for Detection of Alzheimer’s Disease with Atrophic Image Features on MR images, Proceedings of ISICE, 231-234, 2007.09.
79.	Arimura H, Yamashita Y, Tsuchiya K., Computerized Detection of Ischemic Lesions related to Subcortical Vascular Dementia on Magnetic Resonance Images, Proceedings of ISICE 2007, 235-238, 2007.09.
80.	Arimura H, Anai S, Yoshidome S, Nakamura K, Shioyama Y, Nomoto S, Honda H, Onizuka Y, Terashima H., Computerized method for measurement of displacement vectors of target positions on EPID cine images in stereotactic radiotherapy, SPIE Proceedings, Vol.6512, 65121U-1-8, 2007.05.
81.	Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Higashida Y, Toyofuku F., Estimation of white matter connectivity based on a three-dimensional directional diffusion function in diffusion tensor MRI, Medical Physics, Vol.33, No.12, 4643-4652, 2006.12.
82.	Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Higashida Y, Toyofuku F., Estimation of white matter tracts based on a directional diffusion function in DT-MRI, IFMBE Proceedings, Vol.14, 2433-2436, 2006.08.
83.	Arimura H, Yoshiura T, Kumazawa S, Koga H, Sakai S, Mihara F, Honda H, Toyofuku F, Higashida Y., Automated Volumetric Measurement of Cerebrospinal Fluid in Sulci and Lateral Ventricles Based on 3-D MR images, IFMBE Proceedings, Vol.14, 2184-2187, 2006.08.
84.	Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Higashida Y, Toyofuku F., Visualization of white matter tracts using a directional diffusion function based tractography in DT-MRI, International Journal of Computer Assisted Radiology and Surgery, Vol.1,Supplement,1, 7-9, 2006.06.
85.	Arimura H, Li Q, Korogi Y, Hirai T, Katsuragawa S, Yamashita Y, Tsuchiya K, Doi K., Improvement and evaluation of computerized method for detection of intracranial aneurysms for 3-D MR angiography, International Journal of Computer Assisted Radiology and Surgery, Vol.1,Supplement,1, 385-386, 2006.06.
86.	Arimura H, Yoshiura T, Kumazawa S, Koga H, Sakai S, Mihara F, Honda H, Ohki M, Toyofuku F, Higashida Y., Automated method for measurement of cerebral cortical thickness for 3-D MR Images, International Journal of Computer Assisted Radiology and Surgery, Vol.1,Supplement,1, 19-20, 2006.06.
87.	Arimura H, Yoshiura T, Kumazawa S, Koga H, Sakai S, Mihara F, Honda H, Ohki M, Toyofuku F, Higashida Y., Computerized Method for Automated Measurement of Thickness of Cerebral Cortex for 3-D MR Images, SPIE Proceedings, Vol.6144, 1239-1246, 2006.05.
88.	Arimura H, Li Q, Korogi Y, Hirai T, Katsuragawa S, Yamashita Y, Tsuchiya K, Doi K, Computerized detection of intracranial aneurysms for 3D MR angiography:Feature extraction of small protrusions based on a shape-based difference image technique, Medical Physics, Vol.33, No.2, 394-401, 2006.02.
89.	Li F, Arimura H, Suzuki K, Shiraishi J, Li Q, Abe H, Engelmann R, Sone S, MacMahon H, Doi K, Computer-Aided Detection for Peripheral Lung Cancers Missed at CT: ROC Analyses without and with localization, Radiology, 10.1148/radiol.2372041555, 237, 2, 684-690, Vol. 237, pp. 684 –690, 2005.11.
90.	Hirai T, Korogi Y, Arimura H, Katsuragawa S, Kitajima M, Yamura M, Yamashita Y, Doi K, Intracranial Aneurysms at MR Angiography: Effect of Computer-aided Diagnosis on Radiologists’ Detection Performance, Radiology, 10.1148/radiol.2372041734, 237, 2, 605-610, Vol. 237, pp. 605 –610, 2005.11.
91.	Arimura H, Li Q, Korogi Y, Hirai T, Abe H, Yamashita Y, Katsuragawa S, Ikeda R, and Doi K, CAD Scheme for Detection of Intracranial Aneurysms in MRA based on 3D Analysis of Vessel Skeletons and Enhanced Aneurysms, SPIE Proc., 10.1117/12.593574, 5747, 967-974, Vol. 5747, pp. 967-974, 2005.05.
92.	Arimura H, Li Q, Korogi Y, Hirai T, Abe H, Yamashita Y, Katsuragawa S, Ikeda R, and Doi K, Automated computerized scheme for detection of unruptured intracranial aneurysms in three-dimensional MRA, Academic Radiology, 10.1016/j.acra.2004.07.011, 11, 10, 1093-1104, Vol.11, [10], 1093-1104, 2004.10.
93.	Arimura H, Katsuragawa S, Suzuki K, Li F, Shiraishi J, Sone S, and Doi K, Computerized scheme for automated detection of lung nodules in low-dose CT images for lung cancer screening, Academic Radiology, 11, [6], pp. 617-629, 2004.06.
94.	Li Q, Arimura H, and Doi K, Selective Enhancement Filters for Lung Nodules, Intracranial Aneurysms, and Breast Microcalcifications, International Congress Series, 1268, pp. 929-934, 2004.06.
95.	Arimura H, Li Q, Korogi Y, Hirai T, Abe H, Yamashita Y, Katsuragawa S, Ikeda R, and Doi K, Development of CAD scheme for automated detection of intracranial aneurysms in magnetic resonance angiography, International Congress Series, 10.1016/j.ics.2004.03.102, 1268, 1015-1020, 1268, pp. 1015-1020, 2004.06.
96.	Arimura H, Katsuragawa S, Li Q, Ishida T, and Doi K, Development of a computerized method for identifying the posteroanterior and lateral views of chest radiographs by use of a template matching technique, Medical Physics, 29, [7], 1556-1561, 2002.07.
97.	H. Arimura, S. Katsuragawa, T. Ishida, N. Oda, H. Nakata, and K. Doi, Performance evaluation of an advanced method for automatic identification of view positions of chest radiographs by use of a large database, SPIE Proceedings, 4684, pp. 308-315, 2002.05.
98.	K. Maeda, H. Arimura, I. Kawashita, K. Morikawa, T. Ishida, H. Kanamori, and M. Matsumoto, Influence of scattered x rays on the sharpness of image signal produced by a CR system, SPIE Proceedings, 4682, pp. 675-682, 2002.05.
99.	Arimura H, Date T, Morikawa K, Kubota H, Matsumoto M, and Kanamori H, Effect of scattered x rays on image signal of radiograph, Proceedings of 10th International Congress of The International Radiation Protection Association, P-7-33: pp. 1-7, 2000.05.

Presentations

 Show All Presentations >>

1.	Hidemi Kamezawa Hidetaka Arimura, Novel radiomics/dosiomics-based treatment failure prediction for pharyngeal cancer patients, International Conference on Radiological Physics and Technology (ICRPT), 2024.04.
2.	Naoya Fuchiwaki, Hidetaka Arimura, Kentaro Tanaka, Rintaro Furuta, Development of a robust predictive model for time variant trajectories of tumor growth in lung cancer patients treated with TKI (13 April), International Conference on Radiological Physics and Technology (ICRPT), 2024.04.
3.	Naoya Fukano, Hidetaka Arimura, Yuko Shirakawa, Takumi Kodama, Tadamasa Yoshitake, Yoshiyuki Shioyama, Prediction of Progression in Patients with Early-Stage Non-Small Cell Lung Cancer Treated with Surgery and Stereotactic Body Radiotherapy(11 April), International Conference on Radiological Physics and Technology (ICRPT), 2024.04.
4.	Mayu Nakagaki, Hidetaka Arimura, Yu Jin, Hidetake Yabuuchi, Imaging biopsy models for identification of triple-negative breast cancer at preoperative dynamic contrast-enhanced magnetic resonance images (11 April), International Conference on Radiological Physics and Technology (ICRPT), 2024.04.
5.	Pathological image features for prediction of disease progression of lung cancer patients who received radiation therapy(March.4).
6.	Robust segmentation approach across various training-to-test ratios for gross tumor volume of lung tumor based on voting-fused deep learning(March.4).
7.	Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno, Satoshi Ansai, CT image radiogenomic signatures for prediction of HOPX expression status for patients with non-small cell lung cancer (Feb.3), 医用画像情報学会 令和５年度春期(第198回)大会@九大病院キャンパス, 2024.02.
8.	Hidetaka Arimura, Applications of topological radiomics (Medical imaging signatures with topology for cancer, mini-course 3, Sep.29), WORKSHOP on Mathematics for Industry, Warsaw 25-29 September, 2023, 2023.09.
9.	Hidetaka Arimura, Medical background for topological radiomics (Medical imaging signatures with topology for cancer, mini-course 2, Sep.28), WORKSHOP on Mathematics for Industry, Warsaw 25-29 September, 2023, 2023.09.
10.	Hidetaka Arimura, Background and radiomics (Medical imaging signatures with topology for cancer, mini-course 1, Sep.28), WORKSHOP on Mathematics for Industry, Warsaw 25-29 September, 2023, 2023.09.
11.	Hidetaka Arimura, Medical AI for Cancer(Sep.14), 4th SNU-KYU Joint Symposium, 2023.09.
12.	Hidetaka Arimura, Issues in AI (Parallel Workshop: ACOMP Series, Artificial Intelligent, Aug. 12), SEACOMP & PITFMB 2023, Aug. 10-13, Lombok, 2023.08.
13.	Hidetaka Arimura, Topological Radiomics of Explainable AI (Plenary Session 7, Aug. 12), SEACOMP & PITFMB 2023, Aug. 10-13, Lombok, 2023.08.
14.	Rintaro Furuta, Hidetaka Arimura, Kentaro Tanaka, Yutaro Kabata, Mai Egashira, Prediction Model for the Time Variant Trajectories of Lung Tumor Growths After Tyrosine Kinase Inhibitor Therapy(Oral, Aug. 12), SEACOMP & PITFMB 2023, Aug. 10-13, 2023.08.
15.	Takumi Kodama, Hidetaka Arimura, Yuko Shirakawa, Kenta Ninomiya, Tadamasa Yoshitake, Yoshiyuki Shioyama, Prediction of Locoregional Recurrence in Non-Small Cell Lung Cancer Patients Prior to Stereotactic Ablative Radiotherapy Using Betti Number Imaging Signatures (Oral, Aug. 12), SEACOMP & PITFMB 2023, Aug. 10-13, 2023.08.
16.	Kojiro Ikushima, Hidetaka Arimura, Ryuji Yasumatsu, Hidemi Kamezawa, Kenta Ninomiya, Magnetic resonance imaging-based approach with topological radiomic features for prediction of malignancy grade in parotid gland cancer (Oral, June3), 医用画像情報学会令和5年度年次(第196回)大会＠広島, 2023.06.
17.	Quoc Cuong Le, Hidetaka Arimura, Prediction of Intracranial aneurysm rupture using Image features of unruptured intracranial aneurysm Magnetic Resonance Angiography images using the Radiomics method (Oral, April 14), 2nd International Conference on Radiological Physics and Technology (ICRPT), April 13-16, 2023.04.
18.	Jyunya Eda, Hidetaka Arimura, Takumi Kodama, Tadamasa Yoshitake, Comparison between Planning CT Image and Dose Distribution Signatures for Prediction of Radiation Pneumonitis in Patients with NSCLC before SABR (Oral, April 13), 2nd International Conference on Radiological Physics and Technology (ICRPT), April 13-16, 2023.04.
19.	Kazuki Mitsushima, Hidetaka Arimura, Yuko Shirakawa, Tadamasa Yoshitake, Mai Egashira, Prediction of tumor growth trajectories in patients with stage I Non-small Cell Lung Cancer receiving Stereotactic Body Radiotherapy　 (Oral, April 15), 2nd International Conference on Radiological Physics and Technology (ICRPT), April 13-16, 2023.04.
20.	Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno, Prognoses Prediction of NSCLC Patients with CT Image Feature Linked with Gene Expression (Oral, April 16), 2nd International Conference on Radiological Physics and Technology (ICRPT), April 13-16, 2023.04.
21.	Takumi Kodama, Hidetaka Arimura, Yuko Shirakawa, Kenta Ninomiya, Tadamasa Yoshitake, Yoshiyuki Shioyama, Topological radiomics prediction of distant metastasis after stereotactic ablative radiotherapy for stage I non-small cell lung cancer patients (Oral, April 13), 2nd International Conference on Radiological Physics and Technology (ICRPT), April 13-16, 2023.04.
22.	Noriyuki Nagami, Hidetaka Arimura, Junichi Nojiri, Cui Yunhao, Kenta Ninomiya, Manabu Ogata, Mitsutoshi Oishi, Keiichi Ohira, Shigetoshi Kitamura, Hiroyuki Irie, Novel segmentation model for well-differentiated hepatocellular carcinoma regions using dense V-net with three phase images of dynamic contrast-enhanced CT (Oral, April 14), 2nd International Conference on Radiological Physics and Technology (ICRPT), April 13-16, 2023.04.
23.	Takumi Kodama, Hidetaka Arimura, Yuko Shirakawa, Kenta Ninomiya, Tadamasa Yoshitake, Yoshiyuki Shioyama, Topological prediction models for relapse of stage I patients with non-small cell lung cancer prior to stereotactic ablative radiotherapy (Poster), SPIE Medical Imaging 2023, San Diego, 2023.02.
24.	YiZhi Tong, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Tadamasa Yoshitake，Yoshiyuki Shioyama, Hidetake Yabuuchi, Automated segmentation of stage I non-small cell lung cancer regions in radiation treatment planning CT images, (Oral, Feb.11), 医用画像情報学会MII the 195Meeting＠名古屋, 2023.02.
25.	Kyomi Uchino, Hidetaka Arimura, Kentaro Tanaka, Hidetake Yabuuchi, Temporal Prediction of Tumor Growth Trajectory in Non-small Cell Lung Cancer Patients Treated with Immune Checkpoint Inhibitors, (Poster, Dec.11), 22nd Asia-Oceania Congress on Medical Physics (AOCMP 2022), December 10-12, 2022 in Taipei, 2022.12.
26.	Hiroshi Hamasaki, Hidetaka Arimura, Yuzo Yamasaki, Takayuki Yamamoto, Mitsuhiro Fukata, Tetsuya Matoba, Toyoyuki Kato, Kousei Ishigami, Noninvasive Prediction of Myocardial Ischemia Based on Fractional Flow Reserve Derived from Coronary Computed Tomography, (Poster, Dec.11), 22nd Asia-Oceania Congress on Medical Physics (AOCMP 2022), December 10-12, 2022 in Taipei, 2022.12.
27.	Hidetaka Arimura, Mathematical characterization of cancer in imaging biopsy　(Invited Speech, Dec.11), 22nd Asia-Oceania Congress on Medical Physics (AOCMP 2022), December 10-12, 2022 in Taipei, 2022.12, If cancer images can be characterized mathematically, you may thoroughly understand several cancer hallmarks such as metastatic properties. The imaging biopsy is the computational process to characterize tumors as well as normal tissues by extracting intrinsic information. The models to perform the imaging biopsy are based on advanced image processing technologies including radiomics and deep learning. Our studies suggested the prognostic powers of Hessian indices of differential topology in head and neck cancer patients and Betti numbers of topology in lung cancer patients..
28.	Hidetaka Arimura, Imaging biopsy for extraction of tumor traits　(Keynote Speech, Dec.7), Malaysian Congress of Radiology 2022, December 7-9, 2022 in Penang, 2022.12.
29.	Yunhao Cui, Hidetaka Arimura, Yuko Shirakawa, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi, Deep learning-based measurement of volume-based consolidation-to-tumor ratios on planning CT images of lung cancer SBRT patients（Poster, Sep.17）, 第124回日本医学物理学会学術大会 (長崎), 2022.09.
30.	Hidetaka Arimura, Envisioning mathematical tumor characterization for imaging biopsy　(Keynote Speech, Sep.13), 5th International Conference of Computer and Informatics Engineering (IC2IE), Indonesia, 2022.09.
31.	Takahiro Iwasaki, Hidetaka Arimura, Kenta Ninomiya, Hideyuki Iwanaga, Computational triage of severe patients caused by coronavirus disease 2019 pneumonia on CT images with radiomic signatures.(ePoster, July10-14), AAPM2022 (LIVE and IN-PERSON at Washington), 2022.07.
32.	Yunhao Cui, Hidetaka Arimura, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi, Exploration of Generalization of Dense V-Networks On A Small Training Dataset In Segmenting Gross Tumor Volumes On 3D Planning CT Images for Lung Cancer Stereotactic Body Radiotherapy（Oral, Online, June13）, WC2022 (Hybrid Congress in Singapore), 2022.06.
33.	Takumi Kodama, Hidetaka Arimura, Yuko Shirakawa,Kenta Ninomiya, Tadamasa Yoshitake, Yoshiyuki Shioyama, Progression Predictability Based on Planning Computed Tomography Images for Early Stage Non-Small Cell Lung Cancer Patients with Stereotactic Ablative Radiotherapy（Oral, Online, June13）, WC2022 (Hybrid Congress in Singapore), 2022.06.
34.	Yu Jin, Hidetaka Arimura, Takumi Kodama, A Radiogenomic Signature for Prediction of Lung Cancer Prognosis: Association Between HOPX Gene Expression and CT Image Features（Oral, Online, April15）, The 123rd Scientific Meeting of the Japan Society of Medical Physics (Yokohama), 2022.04.
35.	Koujiro Ikushima, Hidetaka Arimura, Ryuji Yasumatsu,Hidemi Kamezawa, Kenta Ninomiya, Radiomic feature-based prediction model for malignancy grade of parotid gland cancer in preoperative magnetic resonance images（Oral, April14）, The 123rd Scientific Meeting of the Japan Society of Medical Physics (Yokohama), 2022.04.
36.	Takahiro Iwasaki, Hidetaka Arimura, Kenta Ninomiya, Hideyuki Iwanaga, Radiomic classification of severity caused by coronavirus disease 2019 pneumonia based on CT images（Oral, April15）, The 123rd Scientific Meeting of the Japan Society of Medical Physics (Yokohama), 2022.04.
37.	Rintaro Furuta, Hidetaka Arimura, Kentaro Tanaka, Mai Egashira, Prediction of Time Variant Trajectory of Lung Tumor Growth During TKI Targeted Therapy（Oral, April15）, The 123rd Scientific Meeting of the Japan Society of Medical Physics (Yokohama), 2022.04.
38.	Hidetaka Arimura, Non-invasive imaging biopsy for characterizing diseases: (Invited Speech, November 04), 1st International Conference on Health Sciences and Biotechnology (ICHB), 2021.11.
39.	Hidetaka Arimura, Novel imaging biopsy models for characterizing tumors and its surrounding tissue: (Invited Speech, 21, October), 19th SEACOMP, 13th TMPS and the 14th ACOMP (Phuket, Thailand, Virtual congress), 2021.10.
40.	Hidetaka Arimura, Optimization mathematics for medical physics: (Invited Speech, 22, October), 19th SEACOMP, 13th TMPS and the 14th ACOMP, 2021.10.
41.	Takumi Kodama, Hidetaka Arimura, Kenta Ninomiya, Yuko Shirakawa, Tadamasa Yoshitake, Yoshiyuki Shioyama, Radiomics Prediction for Progression in NSCLC Patients Treated with Stereotactic Body Radiation Therapy, The 40th JAMIT Annual Hybrid Meeting, 2021.10.
42.	Takumi Kodama, Hidetaka Arimura, Radiomics analysis for prognostic prediction for time to progression in non-small cell lung cancer patients treated with stereotactic ablative radiotherapy (Sep.13), Symposium on Intelligent Data Science for Radiological Imaging between University of Malaya and Kyushu University, Virtual Meeting, 2021.09.
43.	Hidetaka Arimura, Radiomics-based imaging biopsy approaches for precision radiology (Sep.13), Symposium on Intelligent Data Science for Radiological Imaging between University of Malaya and Kyushu University, Virtual Meeting, 2021.09.
44.	Hidetaka Arimura, Radiomics and imaging biopsy approaches for precision medicine (Invited Speech at Symposium 3, Sep.10), The 9th Korea-Japan Joint Meeting on Medical Physics, KJMP2021, Virtual Meeting, 2021.09.
45.	Taka-aki Hirose, Hidetaka Arimura, Yunhao Cui, Kenta Ninomiya, Tadamasa Yoshitake, Jun-ichi Fukunaga, Yoshiyuki Shioyama, Pretreatment Prediction of Radiation Pneumonitis Based on Deep Transfer Learning after Lung Cancer Stereotactic Body Radiation Therapy (Oral, Sep.9), The 9th Korea-Japan Joint Meeting on Medical Physics, KJMP2021,Virtual Meeting, 2021.09.
46.	Hidetaka Arimura, Radiomics and radiogenomics with AI for Oncology (Invited Speech, Sep.02), AFOMP Monthly Webinar Series, Asia Oceania Federation of Organizations for Medical Physics AFOMP 20th Anniversary, 2021.09.
47.	Hidemi Kamezawa, Hidetaka Arimura, Recurrence prediction for head and neck squamous cell cancer patients using local binary pattern-based dosiomics (Poster, July 25), 2021 AAPM Virtual Meeting, 2021.07, [URL].
48.	Akimasa Urakami, Hidetaka Arimura, Yukihisa Takayama, Fumio Kinoshita, Kenta Ninomiya, Kenjiro Imada, Sumiko Watanabe, Akihiro Nishie, Yoshinao Oda, Kousei Ishigami, Automatic Stratification of Prostate Cancer Patients Into Low- and High-Grade Groups Using a Support Vector Machine Model with Multiparametric Magnetic Resonance Image Features (Poster, July 29), 2021 AAPM Virtual Meeting, 2021.07, [URL].
49.	Mai Egashira, Hidetaka Arimura, Truong Huy, Shirakawa Yuko, Kenta Ninomiya, Yoshiyuki Shioyama, Tadamasa Yoshitake, Prediction of Therapeutic Outcomes of Patients with Non-Small Cell Lung Cancer for Stereotactic Ablative Radiotherapy Based On a Differential Model (Poster, July 26), 2021 AAPM Virtual Meeting, 2021.07, [URL].
50.	Kenta Ninomiya, Hidetaka Arimura, Tadamasa Yoshitake, Takaaki Hirose, Yoshiyuki Shioyama, Computational Prediction of Symptomatic RP Based On Planning Computed Tomography Images Using Topologically Invariant Betti Numbers Prior to Stereotactic Body Radiation Therapy (Oral, July 28), 2021 AAPM Virtual Meeting, 2021.07, [URL].
51.	Hidetaka Arimura, Radiomics and Radiogenomics for Precision Radiology: Underlying Information of Medical Images (Invited Speech, Medical physics session, July 3, 2021), 19th Asian Oceanian Society of Radiology (AOCR 2021) Malaysia, 2021.07, [URL].
52.	Taka-aki Hirose, Hidetaka Arimura, Yunhao Cui, Kenta Ninomiya, Tadamasa Yoshitake, Jun-ichi Fukunaga, Yoshiyuki Shioyama, Deep Learning-Based Prediction of Radiation Pneumonitis after Lung Cancer Stereotactic Body Radiation Therapy (Oral, Apr.17), The 77th Annual Meeting of the Japanese Society of Radiological Technology (JSRT), 2021.04.
53.	Kenta Ninomiya, Hidetaka Arimura, Wai Yee Chan, Kentaro Tanaka, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng, Radiogenomic imaging biopsy for EGFR-Mutated patients with non-small cell lung cancer based on contrast CT images using invariant Betti numbers (Oral, Apr. 16), The 121st Scientific Meeting of the Japan Society of Medical Physics (JSMP), 2021.04.
54.	Mai Egashira, Hidetaka Arimura, Truong Gia Huy, Yuko Shirakawa, Kenta Ninomiya, Tadamasa Yoshitake, Yoshiyuki Shioyama, Prediction of Therapeutic Outcomes for Patients with Non-small Cell Lung Cancer who Received Stereotactic Ablative Radiotherapy (Oral, Apr.17), The 77th Annual Meeting of the Japanese Society of Radiological Technology （JSRT）, 2021.04.
55.	Takumi Kodama, Hidetaka Arimura, Kenta Ninomiya, Yuko Shirakawa, Tadamasa Yoshitake, Yoshiyuki Shioyama, Radiomics Prediction for Progression in NSCLC Patients Treated with Stereotactic Body Radio Therapy (Oral, Apr.17), The 77th Annual Meeting of the Japanese Society of Radiological Technology （JSRT）, 2021.04.
56.	Yuya Hirakawa, Hidetaka Arimura, Cui Yunhao, High Resolution Reconstruction of Low-Frequency MR Images Using Convolutional Neural Network (Oral, Apr.17), The 77th Annual Meeting of the Japanese Society of Radiological Technology （JSRT）, 2021.04.
57.	Truong Gia Huy, Hidetaka Arimura, Kentaro Tanaka, Kenta Ninomiya, Estimation of tumor growth trajectories during TKI targeted therapy based on Gompertz model (Oral, Apr. 17), The 121st Scientific Meeting of the Japan Society of Medical Physics (JSMP), 2021.04.
58.	Yunhao Cui, Hidetaka Arimura, Risa Nakano, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi, AI-segmentation of gross tumor volumes on 3D planning CT images for lung cancer stereotactic ablative radiotherapy based on dense V-networks (Oral, Jan. 26), International Forum on Medical Imaging in Asia (IFMIA) 2021, Hybrid conference (Taipei), 2021.01.
59.	Kenta Ninomiya, Hidetaka Arimura, Wai Yee Chan, Kentaro Tanaka, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng, Novel recognition approach of TKI-sensitizing EGFR mutations in non-small cell lung cancer patients using topologically invariant Betti numbers (Oral, Jan. 25), International Forum on Medical Imaging in Asia (IFMIA) 2021, Hybrid conference (Taipei), 2021.01, [URL].
60.	Hidetaka Arimura, What is the medical physics from academic point of view? (Keynote Speech, Dec.18), The 1st International Symposium on Physics and Application 2020 (ISPA 2020) Indonesia, 2020.12, [URL].
61.	Truong Gia Huy, Hidetaka Arimura, Kentaro Tanaka, Kenta Ninomiya, Prediction of Tumor Growth Trajectories During Molecularly Targeted Therapy Based on Mathematical Models (E-Poster), 20th Asia-Oceania Congress on Medical Physics (AOCMP), 18th South-East Asian Congress of Medical Physics (SEACOMP), 2020.12.
62.	Noriyuki Nagami, Hidetaka Arimura, Junichi Nojiri, Kenta Ninomiya, Reika Ohgushi, Satoshi Takita, Manabu Ogata, Shigetoshi Kitamura, Hiroyuki Irie, CT-based convolutional-neural-network segmentation of poorly differentiated HCCs with lung-cancer-based transfer learning (E-Poster), 20th Asia-Oceania Congress on Medical Physics (AOCMP), 18th South-East Asian Congress of Medical Physics (SEACOMP), 2020.12.
63.	Akimasa Urakami, Hidetaka Arimura, Fumio Kinoshita, Kenta Ninomiya, Sumiko Watanabe, Kenjiro Imada, Yoshinao Oda, Automatic stratification of prostate cancer patients into low- and high-grade groups based on multiparametric MR image feature analysis (E-Poster), 20th Asia-Oceania Congress on Medical Physics (AOCMP), 18th South-East Asian Congress of Medical Physics (SEACOMP), 2020.12.
64.	Hidetaka Arimura, Novel technologies of advanced radiomics for clinical practices (Invited Speech, Dec.5), 20th Asia-Oceania Congress on Medical Physics (AOCMP), 18th South-East Asian Congress of Medical Physics (SEACOMP), 2020.12.
65.	Hidetaka Arimura, How to make a research plan for young investigators (Invited Speech, Dec.4), 20th Asia-Oceania Congress on Medical Physics (AOCMP), 18th South-East Asian Congress of Medical Physics (SEACOMP), 2020.12.
66.	Hidetaka Arimura, Radiomics with Artificial Intelligence in Radiation Oncology (Invited Speech, Nov.19), Korean Association for Lung Cancer 2020, International Conference Virtual (2020 KALC), 2020.11, [URL].
67.	Akimasa Urakami, Hidetaka Arimura, Fumio Kinoshita, Kenjiro Imada, Yukihisa Takayama, Akihiro Nishie, Kousei Ishigami, Yoshinao Oda, Sumiko Watanabe, Automatic stratification of prostate cancer patients into low- and high-grade groups using machine learning models with MR image features, 第39回日本医用画像工学会大会（JAMIT 2020）, 2020.09.
68.	Kenta Ninomiya, Hidetaka Arimura, A novel topologically invariant radiomic features for prognostic prediction in lung cancer patients (Sep. 18), 第39回日本医用画像工学会大会（JAMIT 2020）, 2020.09.
69.	Hidetaka Arimura, Sciences in Medical Imaging and Radiomics (Keynote Speech, Sep. 24), The 10th International Seminar on New Paradigm and Innovation on Natural Science and Its Application (ISNPINSA-10), 2020.09.
70.	Quoc Cuong-Le, Hidetaka Arimura,Kenta Ninomiya, Hidemi Kemezawa, Radiomics-based analysis for prediction of five-year overall survivals in head-and-neck cancer patients (Sep. 25), The 10th International Seminar on New Paradigm and Innovation on Natural Science and Its Application (ISNPINSA-10), 2020.09.
71.	Kazutoshi Moriyama, Hidetaka Arimura, Kazuma Kobayashi, Quoc Cuong-Le, Kenta Ninomiya, Akimasa Urakami, Hiroyuki Okamoto, Hiroshi Igaki, Identification of primary cancer sites of brain metastases based on brain MR image feature analysis (Sep. 25), The 10th International Seminar on New Paradigm and Innovation on Natural Science and Its Application (ISNPINSA-10), 2020.09.
72.	Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Kenta Ninomiya, Preoperative Non-invasive Grading of Parotid Gland Cancer Malignancy Using Radiomic MR Features (Blue Ribbon e-Poster, July 12), 2020 Joint AAPM/COMP Virtual Meeting, 2020.07.
73.	Taka-aki Hirose, Hidetaka Arimura, Kenta Ninomiya,Tadamasa Yoshitake, Jun-ichi Fukunaga, Yoshiyuki Shioyama, Radiomic prediction of radiation pneumonitis on pretreatment planning CT images of lung cancer patients receiving stereotactic body radiation therapy (Oral, July 14), 2020 Joint AAPM/COMP Virtual Meeting, 2020.07.
74.	Kenta Ninomiya, Hidetaka Arimura, Wai Yee Chan, Kentaro Tanaka, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng, Phenotyping potential of topologically invariant Betti numbers for epidermal growth factor receptor mutations in non-small cell lung cancer patients (Oral, July 16), 2020 Joint AAPM/COMP Virtual Meeting, 2020.07.
75.	Noriyuki Nagami, Hidetaka Arimura, Junichi Nojiri, Risa Nakano, Kenta Ninomiya, Manabu Ogata, Satoshi Takita, Shigetoshi Kitamura, Hiroyuki Irie, CT-based convolutional-neural-network segmentation of HCC regions with lung-cancer-based transfer learning (Poster, Blue ribbon, July 16), 2020 Joint AAPM/COMP Virtual Meeting, 2020.07.
76.	Hidetaka Arimura, Keynote lecture (President of the 119th Scientific Meeting of the Japan Society of Medical Physics), The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
77.	Hidetaka Arimura, Radiotherapeutic smart imaging with radiomics (Joint Symposium2 ／ Smart Imaging - QIBA vs Radiomics vs AI -), The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
78.	Le C. Quoc, Hidetaka Arimura, Kenta Ninomiya, Hidemi Kamezawa, Yutaro Kabata, A Radiomics-based Prediction of Five-year Survival Probabilities of Head-and-Neck Cancer Patients, The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
79.	Takaaki Hirose, Hidetaka Arimura, Kenta Ninomiya, Tadamasa Yoshitake, Jun-ichi Fukunaga , Yoshiyuki Shioyama, Radiomic Prediction of Radiation Pneumonitis in Patients Receiving Stereotactic Body Radiation Therapy for Lung Cancer, The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
80.	Akimasa Urakami, Hidetaka Arimura, Kenjiro Imada, Fumio Kinoshita, Yoshinao Oda, Automatic Stratification of Prostate Cancer Patients Using SVM Built with MR Image Features, The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
81.	Masayuki Yamanouchi, Hidetaka Arimura, Exploration of Image Features Associated with Ruptures of Intracranial Aneurysms Using Magnetic Resonance Angiography, The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
82.	Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Kenta Ninomiya, MR-radiomic Biopsy for Prediction of Malignancy Grade in Parotid Gland Cancer, The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
83.	Satoshi Yoshidome, Hidetaka Arimura, Yunhao Cui, Prediction of Axillary Lymph Node Metastasis of Breast Cancer Using Radiomics Features in MRI Images, The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
84.	Noriyuki Nagami, Hidetaka Arimura, Junichi Nojiri, Risa Nakano, Kenta Ninomiya, Manabu Ogata, Satoshi Takita, Shigetoshi Kitamura, Hiroyuki Irie, Feasibility of Convolutional-neural-networks-based Segmentation of HCC Region with Transfer Learning for Lung Cancer, The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
85.	Satoshi Sakata,Arimura Hidetaka, Ryo Toya, Yudai Kai, Distinguishability between Lymph Nodes and Metastasis from Head and Neck Cancer Using Image Features Calculated on CT Images, The 119th Scientific Meeting of the Japan Society of Medical Physics (WEB conference), 2020.05.
86.	Kenta Ninomiya, Hidetaka Arimura, Homology-based approach for prognostic prediction of lung cancer using novel topologically invariant radiomic features (Oral, Feb. 20), SPIE Medical imaging (Houston, Texas, 15-20, Feb.), 2020.02.
87.	Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Kenta Ninomiya, MR-radiomic biopsy for estimation of malignancy grade in parotid gland cancer (Poster), SPIE Medical imaging (Houston, Texas, 15-20, Feb.), 2020.02.
88.	Hidetaka Arimura, Current status and next stage of radiomics (Plenary Speaker, Aug. 8), 17th SEACOMP and 3rd PIT-FMB (Bali, 8-10, Aug. 2019), 2019.08, Radiomics is a field based on data science that massively and comprehensively analyzes big data of medical images to extract a large number of phenotypic features reflecting cancer traits (genotypic features), and explores the associations between the features and patients’ prognoses for precision medicine. It would be possible to make decisions of more appropriate treatment policies for patients by predicting their prognoses using statistical inference models with radiomic signatures obtained from pre-treatment images in cancer therapy..
89.	Hidetaka Arimura, AFOMP&SEAFOMP　Professional Development: What the Future Holds　(Aug. 10), PIT-FMB & SEACOMP2019 (Bali, 8-10, Aug. 2019), 2019.08.
90.	Taka-aki Hirose, Hidetaka Arimura, Jun-ichi Fukunaga, Saiji Ohga, Reveal of Uncertainties of Soft-Tissue-based Patient Registration Due to Inter- and Intra-observer Variability in IGRT Era for Prostate Cancer Radiation Therapy(Oral, Aug. 8), PIT-FMB & SEACOMP2019 (Bali, 8-10, Aug. 2019), 2019.08.
91.	LE Cuong Quoc, Hidetaka Arimura, Masahiro Yamada, Hidemi Kamezawa, Prediction of Five-year Survival Probabilities of Head-and-neck Cancer Patients Based on Radiomic Signatures Selected by Coxnet　(Oral, Aug. 8 ), PIT-FMB & SEACOMP2019 (Bali, 8-10, Aug. 2019), 2019.08.
92.	Ma Zhuangfei, Arimura Hidetaka, Risa Nakano, Tadamasa Yoshitake, Yoshiyuki Shioyama, Automated approach for estimation of sizes of lung cancer on planning CT images using dense V-net CNN with non-negative matrix factorization　(Poster+Oral), 第38回日本医用画像工学会大会(JAMIT) (Nara, July24-26, 2019), 2019.07.
93.	LE Cuong Quoc, Hidetaka Arimura, Masahiro Yamada, Hidemi Kamezawa, Prediction of five-year survival probabilities of head-and-neck cancer patients using support vector machine based on radiomic signatures selected by Coxnet(Poster+Oral), 第38回日本医用画像工学会大会(JAMIT) (Nara, July24-26, 2019), 2019.07.
94.	Kenta Ninomiya, Hidetaka Arimura, Feasibility of different prognostic prediction models for lung cancer stages I-IIIB based on radiomic signatures (Oral), AAPM2019 (San Antonio, Texas, 14-18, 2019), 2019.07.
95.	Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Kenta Ninomiya, Shu Haseai, Deep learning-based malignancy grade prediction models of parotid gland cancer using preoperative MR images (Poster), AAPM2019 (San Antonio, Texas, 14-18, 2019), 2019.07.
96.	Yudai Kai, Hidetaka Arimura, Ryo Toya, Tetsuo Saito, Tomohiko Matsuyama, Yoshiyuki Fukugawa , Analyzing the integration of PET/CT images acquired in a non-radiotherapy treatment position into the GTV delineation of nasopharyngeal carcinoma using the deformable image registration (Oral), 第75回日本放射線技術学会総会学術大会(JSRT) (Yokohama, April, 11-14, 2019), 2019.04.
97.	Taka-aki Hirose, Hidetaka Arimura, Junichi Fukunaga, Saiji Ohga, Uncertainties of Soft-Tissue-based Patient Registration by Multiple Observers Using Cone-beam CT for Prostate Cancer Radiation Therapy (Oral), the 117th Scientific Meeting of the Japan Society of Medical Physics (JSMP) (Yokohama, April, 11-14, 2019), 2019.04.
98.	Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Soufi Mazen, Kenta Ninomiya, Shu Haseai, Radiomics-based malignancy estimation of parotid gland tumor using preoperative magnetic resonance images (Oral, 12-April-2019), the 117th Scientific Meeting of the Japan Society of Medical Physics (JSMP) (Yokohama, April, 11-14, 2019), 2019.04.
99.	Sachine Nakayama, Hidetaka Arimura, Mohammad Haekal, Masahiro Yamada, Prognostic shape-based features on CT images for non-small-cell lung cancer patients (Oral, 12-April-2019), the 117th Scientific Meeting of the Japan Society of Medical Physics (JSMP) (Yokohama, April, 11-14, 2019), 2019.04.
100.	Aki Yoshihisa, Hidetaka Arimura, Hidemi Kamezawa, Soufi Mazen, Masahiro Yamada, Selection of wavelet basis functions in radiomic prediction for prognoses in head and neck cancer patients (Oral, 12-April-2019), the 117th Scientific Meeting of the Japan Society of Medical Physics (JSMP) (Yokohama, April, 11-14, 2019), 2019.04.
101.	Alamgir Hossain, Hidetaka Arimura, Kenta Ninomiya, Fumio Kinoshita, Sumiko Watanabe, Kenjiro Imada, Yoshinao Oda , Monte-Carlo Simulation-based Estimation of Intravoxel Incoherent Motion (IVIM) Parameters in Diffusion-weighted MRI (Oral, 13-April-2019), the 117th Scientific Meeting of the Japan Society of Medical Physics (JSMP) (Yokohama, April, 11-14, 2019), 2019.04.
102.	Ma Zhuangfei, Arimura Hidetaka, Kakeda Shingo, Korogi Yukunnori, Automated approach for estimation of sizes of unruptured intracranial aneurysms in MRA images by using localized sparse non-negative matrix factorization (Oral, 12-April-2019), the 117th Scientific Meeting of the Japan Society of Medical Physics (JSMP) (Yokohama, April, 11-14, 2019), 2019.04.
103.	Kenta Ninomiya, Hidetaka Arimura, Kentaro Tanaka, Exploring potential of radiomic features in identification of EGFR-mutant in lung cancer patients (Oral, 12-April-2019), the 117th Scientific Meeting of the Japan Society of Medical Physics (JSMP) (Yokohama, April, 11-14, 2019), 2019.04.
104.	Tran Thi Thao Nguyen, Hidetaka Arimura, Ryosuke Asamura, Taka-aki Hirose, Saiji Ohga, Jun-ichi Fukunaga, Comparative analysis of cold spots in VMAT versus IMRT plans in prostate cancer ( Poster, 20190302), 第32回高精度放射線外部照射部会学術大会(東京), 2019.03.
105.	Masahiro Yamada, Hidetaka Arimura, Kenta Ninomiya, Mazen Soufi, Automated classification of histological subtypes of NSCLC using support vector　machines with radiomic features (Oral, 7-Jan-2019), IWAIT-IFMIA2019 (Singapore, 6-9 Jan. 2019), 2019.01.
106.	Zhuangfei Ma, Hidetaka Arimura, Shingo Kakeda, Yukunori Korogi, Automated approach for estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis (Oral, 7-Jan-2019), IWAIT-IFMIA2019 (Singapore, 6-9 Jan. 2019), 2019.01.
107.	Risa Nakano, Hidetaka Arimura, Mohammad Haekal, Saiji Ohga, Automated segmentation framework of lung gross tumor volumes on 3D planning CT images using dense V-Net deep learning (Oral, 7-Jan-2019), IWAIT-IFMIA2019 (Singapore, 6-9 Jan. 2019), 2019.01.
108.	Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Shu Haseai, Kenta Ninomiya, Radiomics-based malignancy prediction of parotid gland tumor (Oral, 7-Jan-2019), IWAIT-IFMIA2019 (Singapore, 6-9 Jan. 2019), 2019.01.
109.	Hidemi Kamezawa, Hidetaka Arimura, Ryuji Yasumatsu, Mazen Souf, Shu Haseai, Kenta Ninomiya, Radiomics-based prediction of malignant potential in patients with parotid gland cancer (Oral, 27-Nov-2018), 104th Radiological Society of North America (RSNA, Nov-25-30, 2018, Chicago), 2018.11.
110.	Hidetaka Arimura, Medical Physics Practice in the Era of Artificial Intelligence (Round Table Forum 1, 13-Nov-2018), 18th Asia-Oceania Congress of Medical Physics and 16th South-East Asia Congress of Medical Physics (AOCMP, 11-14-Nov-2018, Kuala Lumpur), 2018.11.
111.	Hidetaka Arimura, Overview of Radiomics with Artificial Intelligence (Radiomics Symposium, 12-Nov-2018), 18th Asia-Oceania Congress of Medical Physics and 16th South-East Asia Congress of Medical Physics (AOCMP, Kuala Lumpur), 2018.11, Medical doctors including radiation oncologists are keen on artificial intelligence (AI) that can support decision making in diagnosis and treatment in human-like manners. AI approaches are the computational algorithms or systems that can accurately perform high inference based on a huge number of knowledge data. At around the same time as the third large wave of AI, an idea of radiomics has come out from radiation oncology as one of feasible approaches for solving the issues in precision medicine and practically performing it based on multimodality medical images in a non-invasive, fast, and low-cost way. Radiomics is a field based on data science that massively and comprehensively analyzes a huge amount of the medical images to extract a large number of phenotypic features reflecting disease traits, and to discover signatures (radiomic biomarkers) that can predict patients’ prognoses. Machine learning algorithms of AI are boosting radiomics powers for prediction or estimation of what are associated with treatment strategies such as survival time, recurrence, adverse events, and subtypes. Since a number of machine learning software are open-sourced and easy-to-use for radiation oncology staffs, this third boom of AI could be a practical phase of AI in radiation oncology. Radiomics with AI are considered “specialized AI”, which may potentially provide one of practical ways for precision medicine in radiation therapy by emphasizing outcomes and reducing toxicity for individual patients..
112.	Hidetaka Arimura, Data-Science-Based Radiomics (Radiomics & Artificial Intelligence Workshop, 11-Nov-2018), 18th Asia-Oceania Congress of Medical Physics and 16th South-East Asia Congress of Medical Physics (AOCMP, Kuala Lumpur), 2018.11, Medicine including cancer treatment is moving toward “precision medicine,” in which health care is personalized on a basis of patients’ data (e.g. genes and health care records) to take into account individual variability (patient or tumor heterogeneity). However, there are several issues in the precision medicine of the cancer treatment such as invasive biopsy and slow throughput for examination of gene mutations from sampled specimens. Besides, since tumors are heterogeneous, a small part of a tumor obtained by a single biopsy could be unreliable for the precision medicine. Consequently, it could not be reasonable to practically perform the precision medicine of the cancer treatment. Therefore, the idea of radiomics has come out from radiation therapy for solving the issues and performing the “practical” precision medicine. Radiomics is a field based on data science that massively and comprehensively analyzes a huge amount of the medical images to extract a large number of phenotypic features reflecting disease traits, and to discover signatures that can predict patients’ prognoses. The signatures are considered imaging biomarkers, and they are defined as vectors capsulating significant selected features as vector elements. Data science is an interdisciplinary field among statistics, pattern recognition, machine learning, data mining, data processing, data visualization, etc., to inductively discover features or hidden meaningful patterns of natural, human, and social phenomena with the vast amount of multidimensional data using computer science and domain knowledge. The purpose of data science is “learning from data” by extracting important patterns and trends, and understand “what the data says”. Since the speaker believes that the data science is the key to the success of the radiomics for statistically delving into the ‘dark’ big medical data including the huge amounts of medical images, he will describe the basics of radiomics and data science..
113.	Satoshi Yoshidome, Hidetaka Arimura, Kotaro Terashima, Masakazu Hirakawa, Taka-aki Hirose, Junichi Fukunaga, Yasuhiko Nakamura, Automated estimation framework for lung tumor location in kilovolte cone-beam computed tomography images for target-based positioning in lung stereotactic body radiotherapy (Oral, 20181113), 18th Asia-Oceania Congress of Medical Physics and 16th South-East Asia Congress of Medical Physics (AOCMP, Kuala Lumpur), 2018.11.
114.	Alamgir Hossain, Hidetaka Arimura, Hidetake Yabuuchi, Kenta Ninomiya, Fumio Kinoshita, Sumiko Watanabe, Kenjiro Imada, Ryoma Koyanagi, Yoshinao Oda, Estimation of Intravoxel Incoherent Motion (IVIM) Parameters using Monte-Carlo Simulation of Diffusion MRI (Oral, 20181113), 18th Asia-Oceania Congress of Medical Physics and 16th South-East Asia Congress of Medical Physics (AOCMP, Kuala Lumpur), 2018.11.
115.	Tran Thi Thao Nguyen, Hidetaka Arimura, Ryosuke Asamura, Taka-aki Hirose, Saiji Ohga, Jun-ichi Fukunaga, Computationally analysis of cold spots in dose distributions of VMAT plans for prostate cancer (Oral, 20181113), 18th Asia-Oceania Congress of Medical Physics and 16th South-East Asia Congress of Medical Physics (AOCMP, Kuala Lumpur), 2018.11.
116.	Hidetaka Arimura, Functions of data science in medical physics (Plenary Speaker, Aug 11, 2018), Annual Scientific Meeting on Medical Physics and Biophysics (Semarang, Aug. 10-12, 2018), 2018.08.
117.	Takaaki Hirose,Hidetaka Arimura， Junichi Fukunaga，Yoshiyuki Umezu，Saiji Ooga，Tomonari Sasaki, Evaluation of Uncertainty and PTV Margins in Image-guided Target-based Patient Positioning for Prostate Cancer (Poster, 20180729), The 60th Annual Meeting of American Association of Physicists in Medicine (AAPM), 2018.07.
118.	Yudai Kai,Hidetaka Arimura, Kenta Ninomiya, Masato Maruyama, Yuji Nakaguchi, Yoshinobu Shimohigashi, Clinical knowledge-based estimation of target position displacements using machine learning architectures in prostate intensity modulated radiotherapy(Poster, 20180729), The 60th Annual Meeting of American Association of Physicists in Medicine (AAPM), 2018.07.
119.	Hidemi Kamezawa, Hidetaka Arimura, Mazen Soufi , Investigation of radiomic feature selection approaches for survival prediction of squamous cell head and neck cancer patients based on features selected from squamous cell lung cancer patients (Oral、20180725), 第37回日本医用画像工学会大会(筑波, 7月25日～27日, 2018), 2018.07.
120.	Hidetaka Arimura, Medical Image Analysis in Radiomics for Personalized Cancer Treatment from Medical Physics Point of View (Joint Sessions, June 20, 2018), 日本生体医工学会大会 日本医学物理学会・日本生体医工学会合同セッション(札幌, June 19-21, 2018), 2018.06.
121.	Hidetaka Arimura, What could radiomics do for improving high precision radiotherapy? (Symposium Sessions, May 19, 2018), The 6th Taiwan-Japan Radiation Oncology Symposium (Taichung, May19, 2018), 2018.05.
122.	Hidetaka Arimura, Current Status and Perspectives of Radiomics for Personalized Radiation Therapy (Joint symposium, Apr.14), 115th Scientific Meeting of the Japan Society of Medical Physics (Yokohama, Apr.12-15, 2018), 2018.04.
123.	Mazen Soufi, Hidetaka Arimura, Saiji Ohga, Taka-aki Hirose, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Discovering optimal mother wavelets in extraction of CT image-based radiomic features for survival prediction of lung cancer patients (Oral, Apr.15), 115th Scientific Meeting of the Japan Society of Medical Physics (Yokohama, Apr.12-15, 2018), 2018.04.
124.	Hidemi Kamezawa, Hidetaka Arimura, Mazen Soufi, Survival prediction of head and neck cancer patients based on image features selected by using artificial neural network(Oral, Apr.15), 115th Scientific Meeting of the Japan Society of Medical Physics (Yokohama, Apr.12-15, 2018), 2018.04.
125.	Kenta Ninomiya, Hidetaka Arimura, Motoki Sasahara, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Automated Localization Approach of Prostates for Radiotherapy using Anatomical-feature-based Machine Learning and its Feasibility in Bayesian Target Contouring Framework (Oral, Apr.15), The 74th annual meeting of the Japanese Society of Radiological Technology (Yokohama, Apr.12-15, 2018), 2018.04.
126.	Taka-aki Hirose, Hidetaka Arimura, Junichi Fukunaga, Yoshiyuki Umezu, Saiji Ohga, Tomonari Sasaki, Evaluation of Uncertainty in Target-based Patient Positioning in IGRT for Prostate Cancer (Oral, Apr.12), The 74th annual meeting of the Japanese Society of Radiological Technology (Yokohama, Apr.12-15, 2018), 2018.04.
127.	Tran Thi Thao Nguyen, Hidetaka Arimura, Yoshifumi Oku, Takahiro Iwasaki, Takahiro Nakamoto, Toshioh Fujibuchi, Takashi Yoshiura, Effect of a brachytherapy applicator and tissue heterogeneity on dose distributions using Monte Carlo simulations for cervical cancer (Oral, Apr.14), 115th Scientific Meeting of the Japan Society of Medical Physics (Yokohama, Apr.12-15, 2018), 2018.04.
128.	Mohammad Haekal, Hidetaka Arimura, Yusuke Shibayama, Taka-aki Hirose, Saiji Ohga, Junichi Fukunaga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, An investigation of geometric uncertainties of the rectum surfaces due to the shape variations in prostate cancer radiation therapy (Oral, Apr.14), 115th Scientific Meeting of the Japan Society of Medical Physics (Yokohama, Apr.12-15, 2018), 2018.04.
129.	Ma Zhuangfei, Meaningful life in Japan within six months (Oral, Apr.15), 115th Scientific Meeting of the Japan Society of Medical Physics (Yokohama, Apr.12-15, 2018), 2018.04.
130.	Masahiro Yamada, Hidetaka Arimura, Mazen Soufi, Development of a framework for prediction of lung cancer patients’ prognoses using PCA-based radiomics features(Oral, Apr.15), 115th Scientific Meeting of the Japan Society of Medical Physics (Yokohama, Apr.12-15, 2018), 2018.04.
131.	Risa Nakano, Hidetaka Arimura, Ryosuke Asamura, Saiji Ohga, Hiroshi Honda, Tomonari Sasaki, Deep-learning-based segmentation of GTV regions of lung cancer using datasets of planning CT and PET/CT images (Oral, Apr.15), 115th Scientific Meeting of the Japan Society of Medical Physics (Yokohama, Apr.12-15, 2018), 2018.04.
132.	Hidetaka Arimura, Potentials of Radiomics in Cancer Treatment (Invited Speaker, March 20), International Workshop on the Biological (BER 2018, March 19-20, 2018, Osaka), 2018.03.
133.	Hidemi Kamezawa, Hidetaka Arimura, Mazen Soufi, Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network (Poster, Feb.14), SPIE medical imaging (Houston, USA, Feb.10-15, 2018), 2018.02.
134.	Kenta Ninomiya, Hidetaka Arimura, Motoki Sasahara, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Bayesian delineation framework of clinical target volumes for prostate cancer radiotherapy using an anatomical-features-based machine learning technique (Poster, Feb.14), SPIE medical imaging (Houston, USA, Feb.10-15, 2018), 2018.02.
135.	Tran Thi Thao Nguyen, Hidetaka Arimura, Ryosuke Asamura, Mazen Soufi, Saiji Ohga, Hiroshi Honda, Tomonari Sasaki, Dosimetric analysis of cold spots in intensity-modulated radiation therapy for the treatment of prostate cancer (Oral), 医用画像情報学会（MII） 平成29年度春季（第180回）大会(岐阜), 2018.01.
136.	Yudai Kai, Hidetaka Arimura, Tetsuo Saito, Masato Maruyama, Yuji Nakaguchi, Yoshinobu Shimohigashi, Akiko Kuraoka, Analysis of the relationships between target translation errors and their circumstances including normal organs for prostate radiotherapy (Poster) (Japan Journal of Medical Physics, ​Vol. 37, Sup. 3, p. 114, 2017), The 8th Japan- Korea Meeting on Medical Physics (Osaka, Sep.15-16, 2017), 2017.09.
137.	Yusuke Shibayama, Hidetaka Arimura, Taka-aki Hirose, Tomonari Sasaki, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Quantification of interfractional CTV shape variations based on statistical point distribution model for prostate cancer radiation therapy(Oral) (Japan Journal of Medical Physics, ​Vol. 37, Sup. 3, p. 81, 2017), The 8th Japan- Korea Meeting on Medical Physics (Osaka, Sep.15-16, 2017), 2017.09.
138.	Hidetaka Arimura, Physics-based Radiotherapy to Radiomics-based Radiotherapy　(Plenary Speaker), 2nd International Conference on Biomedical Signal and Image Processing (ICBIP 2017) , 2017.08.
139.	Hidemi Kamezawa, Hidetaka Arimura, Hiroyuki Arakawa, Noboru Kameda, Investigation of the appropriate dose index for evaluation of patient organ doses in cone-beam computed tomography scanning by using a Monte Carlo simulation (Poster), 59th Annual Meeting of American Association of Physicists in Medicine (AAPM2017, Denver), 2017.07.
140.	Shu Haseai, Hidetaka Arimura, Misato Imai, Tadamasa Yoshitake, Yoshiyuki Shioyama, Hiroshi Honda, Saiji Ohga, Tomonari Sasaki, Computer-assisted treatment planning approach using similar cases for lung stereotactic body radiation therapy(Poster), 59th Annual Meeting of American Association of Physicists in Medicine (AAPM2017, Denver) , 2017.07.
141.	Ryousuke Asamura, Hidetaka Arimura, Mazen Soufi, Saiji Ohga, Hiroshi Honda, Tomonari Sasaki, Computational Analysis for Dose Distributions of Cold Spots in Intensity Modulated Radiotherapy for Prostate Cancer (Poster), 59th Annual Meeting of American Association of Physicists in Medicine (AAPM2017, Denver), 2017.07.
142.	Mohammad Haekal, Hidetaka Arimura, Yusuke Shibayama, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Tomonari Sasaki, An investigation of interfractional rectum shape variations based on a statistical shape analysis for prostate cancer radiotherapy (Poster), 59th Annual Meeting of American Association of Physicists in Medicine (AAPM2017, Denver), 2017.07.
143.	Mazen Soufi, Hidetaka Arimura, Saiji Ohga, Taka-aki Hirose, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, What is the most optimal mother wavelet in radiomic analysis for the survival prediction of lung cancer patients?　(Oral), 59th Annual Meeting of American Association of Physicists in Medicine (AAPM2017, Denver), 2017.07.
144.	Mazen Soufi, Hidetaka Arimura, Taka-aki Hirose, Yoshiyuki Umezu, Saiji Ohga, Hiroshi Honda, Tomonari Sasaki, Correlation in radiomic features between EPID and digitally reconstructed radiography images　(Oral), 第36回日本医用画像工学会大会 JAMIT2017　(岐阜), 2017.07.
145.	Kenta Ninomiya, Hidetaka Arimura, Motoki Sasahara, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Automated contouring framework based on Bayesian inference for prostate cancer radiation therapy (Oral), The 113th Annual Scientific Meeting of the Japan Society of Medical Physics JSMP2017, 2017.04.
146.	Ryousuke Asamura, Hidetaka Arimura, Mazen Soufi, Ze Jin, Tomonari Sasaki, Hiroshi Honda, Ouantitative analysis for coldspots in dose distributions of IMRT for prostate cancer (Oral), The 113th Annual Scientific Meeting of the Japan Society of Medical Physics JSMP2017 (Yokohama), 2017.04.
147.	Shu Haseai, Hidetaka Arimura, Misato Imai, Saiji Ohga, Yoshiyuki Shioyama, Hiroshi Honda, Tomonari Sasaki, Computer-assisted treatment planning approach with genetic algorithm-based optimization using similar cases for lung stereotactic body radiation therapy (Oral), The 113th Annual Scientific Meeting of the Japan Society of Medical Physics JSMP2017, 2017.04.
148.	Taka-aki Hirose, Hidetaka Arimura, Yusuke Shibayama, Junichi Fukunaga, Yoshiyuki Umezu, Saiji Ohga, Tomonari Sasaki, Impact of shape variations on PTV margins in IMRT for prostate cancer (Oral), The 113th Annual Scientific Meeting of the Japan Society of Medical Physics JSMP2017, 2017.04.
149.	Mohammad Haekal, Hidetaka Arimura, Yusuke Shibayama, Taka-aki Hirose, Takahiro Nakamoto, Saiji Ohga, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Tomonari Sasaki, Computational analysis of rectum translation variability in prostate cancer radiotherapy (Oral), The 113th Annual Scientific Meeting of the Japan Society of Medical Physics JSMP2017, 2017.04.
150.	Tran Thi Thao Nguyen, Hidetaka Arimura, Yoshifumi Oku, Takahiro Iwasaki, Takashi Yoshiura, Monte Carlo simulations Analysis of Dosimetric Impacts of Titanium Applicator and Tissue Inhomogeneity for Cervical Intracavitary Brachytherapy (Oral), The 113th Annual Scientific Meeting of the Japan Society of Medical Physics JSMP2017 (Yokohama), 2017.04.
151.	Mazen Soufi, Hidetaka Arimura, Saiji Ohga, Taka-aki Hirose, Yoshiyuki Umezu, Takahiro Nakamoto, Hiroshi Honda, Tomonari Sasaki, Investigation of the correlation in radiomics features between EPID and digitally reconstructed radiography images (Oral), The 113th Annual Scientific Meeting of the Japan Society of Medical Physics JSMP2017 (Yokohama), 2017.04.
152.	Satoshi Yoshidome, Hidetaka Arimura, Koutarou Terashima, Masakazu Hirakawa, Taka-aki Hirose, Junichi Fukunaga, Yasuhiko Nakamura, Automated framework for estimation of lung tumor locations in kV-CBCT images for tumor-based patient positioning in stereotactic lung body radiotherapy(Poster), SPIE Medical Imaging 2017 (Orlando), 2017.02.
153.	Takahiro Nakamoto, Hidetaka Arimura, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Tomonari Sasaki, Reconstruction of four-dimensional computed tomography images during treatment time using electronic portal imaging device images based on a dynamic 2D/3D registration (Poster), SPIE Medical Imaging 2017 (Orlando), 2017.02.
154.	Mohammad Haekal, Hidetaka Arimura, Yusuke Shibayama, Taka-aki Hirose, Takahiro Nakamoto, Saiji Ohga, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Tomonari Sasaki, Computational analysis on rectum positional variability by centroid measurement in prostate cancer treatment (Oral), 医用画像情報学会（MII）平成28年度春季（第177回）大会, 2017.01.
155.	Koujiro Ikushima, Hidetaka Arimura, Ze Jin, Hidetake Yabuuchi, Jyunpei Kuwazuru, Yoshiyuki Shioyama, Tomonari Sasaki, Hiroshi Honda, Masayuki Sasaki, Computational delineation approach for gross tumor volume regions of lung tumors using a support vector machine (Oral), 医用画像情報学会（MII）平成28年度春季（第177回）大会, 2017.01.
156.	Kazuya Hirakawa, Hidetaka Arimura, Ze Jin, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, Probabilistic atlas model of asymptomatic intracranial aneurysms on a computer-aided framework for detecting aneurysms (Orlal), The International Forum on Medical Imaging in Asia (IFMIA) 2017 (Okinawa), 2017.01.
157.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Feasibility of an automated framework for estimation of patient positioning errors in radiation therapy using range images acquired by an infrared ray-based range sensor (Poster), The International Forum on Medical Imaging in Asia (IFMIA) 2017 (Okinawa), 2017.01.
158.	Yasuo Kawata, Hidetaka Arimura, Koujiro Ikushima, Ze Jin, Hidetake Yabu-uchi, Tomonari Sasaki, Hiroshi Honda, Yoshiyuki Shioyama, Masayuki Sasaki, Automated segmentation of various gross tumor volumes based on fuzzy-C means clustering for stereotactic lung radiotherapy (Oral), International Workshop on Advanced Image Technology (IWAIT 2017), (Penang, Malaysia), 2017.01.
159.	Hidetaka Arimura, Chisako Muramatsu, Hiroshi Fujita, Yen-Wei Chen, Kensuke Wakasugi, Akitoshi Katsumata, Takafumi Aoki, Novel retrieval technologies for similar images and personal identification in computer-aided diagnosis and radiation therapy(Mini Symposium), International Conference On Medical Physics 2016 (ICMP2016), 2016.12.
160.	Hidemi Kamezawa, Hidetaka Arimura, Noboru Kameda, Which patient dose index is appropriate for cone-beam computed tomography? (Oral), International Conference On Medical Physics 2016 (ICMP2016) , 2016.12.
161.	Takahiro Nakamoto, Hidetaka Arimura, Taka-aki Hirose, Ken’ichi Morooka, Saiji Ohga, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Tomonari Sasaki, 2D/3D registration-based framework for estimating 4D dose distributions according to dynamic images of an EPID during SBRT for lung cancer (Oral), International Conference On Medical Physics 2016 (ICMP2016) (Thailand), 2016.12.
162.	Tran Thi Thao Nguyen, Hidetaka Arimura, Yoshifumi Oku, Takashi Yoshiura, Monte Carlo–based Assessment of Impacts of Heterogeneous Materials on Dose Distributions using Three-dimensional Gamma Analysis in Intracavitary Brachytherapy for Cervical Cancer(Oral), International Conference On Medical Physics 2016 (ICMP2016) (Thailand), 2016.12.
163.	Takahiro Iwasaki, Hidetaka Arimura, Tran Thi Thao Nguyen, Yoshifumi Oku, Takashi Yoshiura, Monte Carlo-based Gamma Analysis of Impact of Tissue Heterogeneity on Dose Distributions in Cervical Cancer Intracavitary Brachytherapy (Poster), International Conference On Medical Physics 2016 (ICMP2016) (Thailand), 2016.12.
164.	Motoki Sasahara, Hidetaka Arimura, Yusuke Shibayama, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Investigation of a target-based patient positioning framework for image-guided radiotherapy in prostate cancer treatment (Oral), International Conference On Medical Physics 2016 (ICMP2016) (Thailand), 2016.12.
165.	Ze Jin, Hidetaka Arimura, Shingo Kakeda, Kazuya Hirakawa, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, Impact of asymptomatic intracranial　aneurysms probabilistic atlas model on a computer-aided framework for detecting small aneurysms (Oral), Radiological Society of North America (RSNA) 2016 (Chicago, IL), 2016.11.
166.	Koujiro Ikushima, Hidetaka Arimura, Ze Jin, Jyunpei Kuwazuru, Yoshiyuki Shioyama, Tomonari Sasaki, Hiroshi Honda, Masayuki Sasaki, Machine-learning-based delineation approach for gross tumor volume region of three types of lung tumors using planning CT and PET/CT datasets　(computer-based custom application exhibit), Radiological Society of North America (RSNA) 2016 (Chicago, IL), 2016.11.
167.	Taka-aki Hirose, Hidetaka Arimura, Yusuke Shibayama, Jun-ichi Fukunaga, Yoshiyuki Umezu, Ohga Saiji, Tomonari Sasaki, Usefulness of PTV margins with taking into account shape variation in IMRT plans for prostate cancer (Poster), 第29回日本放射線腫瘍学会学術大会(京都), 2016.11.
168.	Tran Thi Thao Nguyen, Hidetaka Arimura, Yoshifumi Oku, Takahiro Iwasaki, Takahiro Nakamoto, Takashi Yoshiura, Brachytherapy for Treatment of Cervical Cancer (Oral), Vietnamese-Japanese Students' Scientific Exchange Meeting VJSE 2016 (Fukuoka), 2016.09.
169.	Hidetaka Arimura, What are researchers? -Messages to young investigators- (Plenary Talk), Vietnamese-Japanese Students' Scientific Exchange Meeting VJSE 2016 (Fukuoka)　, 2016.09.
170.	Yoshifumi Oku, Hidetaka Arimura, Tran Thi Thao Nguyen, Yoshiyuki Hiraki, Masahiko Toyota, Yasumasa Saigo, Takashi Yoshiura, Hideki Hirata, Robustness of adaptive intracavitary brachytherapy for uterine cervical cancer against interfractional location variations of organs and/or applicators (Poster), 第112回日本医学物理学会学術大会(沖縄), 2016.09.
171.	Tran Thi Thao Nguyen, Hidetaka Arimura, Yoshifumi Oku, Takahiro Nakamoto, YusukeShibayama, Takashi Yoshiura, Three­Dimensional Dosimetric Gamma Analysis for Impacts of Tissue Inhomogeneity Using Monte Carlo Simulation in Intracavitary Brachytherapy for Cervix Carcinoma (Poster) , The American Association of Physicists in Medicine (AAPM) 2016 (Washington, DC), 2016.07.
172.	Yusuke Shibayama, Hidetaka Arimura, Taka-aki Hirose, Katsumasa Nakamura, Ohga Saiji, Tomonari Sasaki, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, A computational methodology for determination of CTV-to-PTV margins with inter fractional shape variations based on a statistical point distribution model for prostate cancer radiation therapy (Oral), The American Association of Physicists in Medicine (AAPM) 2016 (Washington, DC), 2016.07.
173.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Computerized Framework for Marker-less Localization of Anatomical Feature Points in Range Images Based on Differential Geometry Features for Image-Guided Radiation Therapy (Oral), The American Association of Physicists in Medicine (AAPM) 2016 (Washington, DC), 2016.07.
174.	Ze Jin, Hidetaka Arimura, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, An ellipsoid convex enhancement filter based computer-aided diagnostic framework of intracranial aneurysms in MRA images (Oral), The American Association of Physicists in Medicine (AAPM) 2016 (Washington, DC), 2016.08.
175.	Motoki Sasahara, Hidetaka Arimura, Yusuke Shibayama, Taka-aki Hirose, Saiji Ohga, Yoshiyuki Umezu, Hiroshi Honda, Tomonari Sasaki, Automatic target-based patient positioning framework for image-guided radiotherapy in prostate cancer treatment (Poster), The American Association of Physicists in Medicine (AAPM) 2016 (Washington, DC), 2016.07.
176.	Taka-aki Hirose, Hidetaka Arimura, Yusuke Shibayama, Junich Fukunaga, Yoshiyuki Umezu, Saiji Oga, Tomonari Sasaki, Impact of PTV Margins With Taking Into Account Shape Variation On IMRT Plans For Prostate Cancer (Poster), The American Association of Physicists in Medicine (AAPM) 2016 (Washington, DC), 2016.07.
177.	Koujiro Ikushima, Hidetaka Arimura, Ze Jin, Jyunpei Kuwazuru, Yoshiyuki Shioyama, Tomonari Sasaki, Hiroshi Honda, Masayuki Sasaki, MachineLearningBased Delineation Framework of GTV Regions of Solid and Ground Glass Opacity Lung Tumors at Datasets of Planning CT and PET/CT Images (e-Poster), The American Association of Physicists in Medicine (AAPM) 2016 (Washington, DC), 2016.08.
178.	Ryosuke Asamura, Hidetaka Arimura, Mazen Soufi, Ze Jin, Tomonari Sasaki, Hiroshi Honda, An approach for evaluation of dose distributions in intensity modulated radiotherapy planning for prostate cancer (Oral), 第111回日本医学物理学会学術大会 (横浜), 2016.04.
179.	Kazuya Hirakawa, Hidetaka Arimura, Ze Jin, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, Development of an Ellipsoid Convex Enhancement Filter for Detection of Intracranial Aneurysms in CAD Frameworks, 第72回日本放射線技術学会総会学術大会(横浜), 2016.04.
180.	Takahiro Iwasaki, Hidetaka Arimura, Tran Thi Thao Nguyen, Yoshifumi Oku, Takashi Yoshiura, Hideki Hirata, Influence of Tissue Heterogeneity on Dose Distributions in Intracavitary Brachytherapy for Uterine Cervical Cancer with Monte Carlo Simulation(Oral), 第111回日本医学物理学会学術大会(横浜), 2016.04.
181.	Chiaki Tokunaga, Hidetaka Arimura, Kazufumi Kikuchi, Takashi Yoshiura, Satoshi Yoshidome, Kouji Kobayashi, Akio Hiwatashi, Osamu Togao, Koji Yamashita, Yasuhiko Nakamura, Hiroshi Honda, Investigation of Useful Hyperintensity Enhanced MR Images for Detection of Brain Metastases (Oral), 第72回日本放射線技術学会総会学術大会(横浜 4月14日～17日), 2016.04.
182.	Satoshi Yoshidome, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Kazushige Atsumi, Yasuhiko Nakamura, Hideki Yoshikawa, Kei Nishikawa, Masakazu Hirakawa, Automated framework for estimation of lung tumor locations in MV-CBCT images for target-based patient positioning in stereotactic body radiotherapy(Oral), 第111回日本医学物理学会学術大会(横浜), 2016.04.
183.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Automated localization of anatomical feature points in infrared ray-based range images of patient surfaces by using differential geometry (Oral), 第111回日本医学物理学会学術大会(横浜), 2016.04.
184.	Mohammad Haekal, Freddy Haryanto, Zamzam Ibnu Sina, Hidetaka Arimura, Algorithm Performance Evaluation: Gradient-descent, Simulated Annealing, and Hybrid Method for Finding an Optimum of a Function (Oral), 第111回日本医学物理学会学術大会 (横浜), 2016.04.
185.	Hidemi Kamezawa, Hidetaka Arimura, A comparison study of four patient dose indices for cone-beam computed tomography (Oral), 第111回日本医学物理学会学術大会 (横浜), 2016.04.
186.	Takahiro Nakamoto, Hidetaka Arimura, Tomonari Sasaki, KEN'ICHI MOROOKA, Taka-aki Hirose, Yasuhiko Nakamura, Yoshiyuki Umezu, Hiroshi Honda, Hideki Hirata, Systematic Framework for Estimating In-vivo Four-Dimensional Dose Distributions during Treatment Delivery in Stereotactic Body Radiotherapy Based on a 2D/3D Registration with an Adaptive Transformation Parameters Approach (Oral), 第72回日本放射線技術学会総会学術大会(横浜 4月14日～17日), 2016.04.
187.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Differential geometry based localization of anatomical feature points in range images of patient surfaces acquired by time-of-flight camera, IEICE (MI2015-137) Technical Report, Vol.115, No.401, pp.315-319, 電子情報通信学会医用画像研究会MI (沖縄), 2016.01.
188.	Ze Jin, Hidetaka Arimura, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, A novel ellipsoid convex enhancement filter for boosting the performance in detection of asymptomatic intracranial aneurysms at 3.0 T magnetic resonance angiography ( IEICE Tech. Rep.(信学技報), vol. 115, no. 401, MI2015-126, pp. 257-261), 電子情報通信学会医用画像研究会MI (沖縄), 2016.01.
189.	Takahiro Nakamoto, Hidetaka Arimura, Tomonari Sasaki, KEN'ICHI MOROOKA, Taka-aki Hirose, Yasuhiko Nakamura, Yoshiyuki Umezu, Hiroshi Honda, Hideki Hirata, Development of a framework for estimating four-dimensional dose distributions during treatment time in stereotactic body radiation therapy for lung cancer based on therapeutic x-ray dynamic portal images (Poster) (IEICE Technical Report, vol.115, no.401, MI2015-86, pp.69-73, 2016.01.), 電子情報通信学会医用画像研究会MI (沖縄 1月19日～20日), 2016.01.
190.	Chonnikan Jongkreangkrai, Y. Vichianin, C. Tocharoenchai, Hidetaka Arimura, Computer-aided Classification of Alzheimer’s Disease Based on Support Vector Machine with Combination of Cerebral Image Features in MRI, 13th South East Asia Congress of Medical Physics (SEACOMP 2015, Yogyakarta, Indonesia), 2015.12.
191.	Hidetaka Arimura, Boosting of Radiation Therapy using High Dimensional Image Analysis (Keynote speech), 13th South East Asia Congress of Medical Physics (SEACOMP 2015, 10-12 December 2015, Yogyakarta, Indonesia), 2015.12.
192.	Hidetaka Arimura, Medical image engineering approaches for computer-aided diagnosis and radiotherapy (Workshop), 13th South East Asia Congress of Medical Physics (SEACOMP 2015, 10-12 December 2015, Yogyakarta, Indonesia), 2015.12.
193.	Yasuo Kawata, Hidetaka Arimura, Computer-aided Delineation of Gross Tumor Volume Regions of Lung Cancer in Treatment Planning CT with PET/CT Images Based on Fuzzy c-mean Clustering Method, 13th South East Asia Congress of Medical Physics (SEACOMP 2015, Yogyakarta, Indonesia), 2015.12.
194.	Ze Jin, Hidetaka Arimura, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Yukunori Korogi, Impact of a novel enhancement filter for various ellipsoid convex shapes on CAD frameworks of asymptomatic unruptured intracranial aneurysms, 13th South East Asia Congress of Medical Physics (SEACOMP 2015, Yogyakarta, Indonesia), 2015.12.
195.	Satoshi Yoshidome, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Kazushige Atsumi, Yasuhiko Nakamura, Hideki Yoshikawa, Kei Nishikawa, Hideki Hirata, Automated framework for estimation of lung tumor locations in MV-CBCT images for target-based patient positioning in stereotactic body radiotherapy(Oral), 日本放射線腫瘍学会（JASTRO）第28回学術大会 (群馬県前橋市, 11月19日～21日), 2015.11.
196.	Hidemi Kamezawa, Hidetaka Arimura, Katsutoshi Shirieda, Noboru Kameda, Masafumi Ohki, A new approach for patient dose reduction using various noise suppression filters in CBCT-based patient positioning systems (Oral) , 日本放射線腫瘍学会（JASTRO）第28回学術大会 (群馬県前橋市,11月19日～ 21日), 2015.11.
197.	Takahiro Nakamoto, Hidetaka Arimura, Tomonari Sasaki, KEN'ICHI MOROOKA, Taka-aki Hirose, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Hideki Hirata, Automated monitoring system of four-dimensional dose distributions using a portal dose image-based 2D/3D registration with adaptive transformation parameters in stereotactic body radiation therapy (Oral), 日本放射線腫瘍学会（JASTRO）第28回学術大会 (群馬県前橋市, 11月19日～21日), 2015.11.
198.	Hidetaka Arimura, "Niche researches between computational image analysis and radiotherapy physics" Invited speakers, (Nov.5-7, at the Yukawa Memorial Building, Yukawa Institute for Theoretical Physics, Kyoto University), YITP International Workshop: Biological & Medical Science based on Physics at Kyoto University, 2015.11.
199.	Yusuke Shibayama, Hidetaka Arimura, Katsumasa Nakamura, Norimasa Matsushita, Taka-aki Hirose, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Hideki Hirata, A computational approach for determination of anisotropic PTV margins based on statistical shape analysis for prostate cancer radiotherapy (poster) , The American Association of Physicists in Medicine 57th Annual meeting (AAPM 2015 in Anaheim), 2015.07.
200.	Misato Imai, Hidetaka Arimura, Ayumi Nonaka, Katsumasa Nakamura, Yoshiyuki Shioyama, Hiroshi Honda, Hideki Hirata, Similar-case-based framework of beam angle configurations using treatment-plan-related features in lung stereotactic body radiation therapy (poster), The American Association of Physicists in Medicine 57th Annual meeting (AAPM 2015 in Anaheim), 2015.07.
201.	Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Taka-aki Hirose, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Hideki Hirata, Computational monitoring framework of four-dimensional dose distributions during treatment time based on a 2D/3D registration with adaptive transformation parameters in lung stereotactic body radiotherapy (Oral), The American Association of Physicists in Medicine 57th Annual meeting (AAPM 2015 in Anaheim), 2015.07.
202.	Tran Thi Thao Nguyen, Hidetaka Arimura, Yoshifumi Oku, Fujibuchi Toshioh, Takahiro Nakamoto, Yusuke Shibayama, Hideki Hirata, Impact of tissue inhomogeneity on dose distributions in CT-image-based brachytherapy for cervical cancer using Monte Carlo simulation (Poster), The 15th International Congress of Radiation Research (ICRR 2015) in Kyoto, 2015.05.
203.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Development of Automated Framework for Detection of Intra-fractional Setup Errors in Radiation Therapy of Head and Neck Cancer Patients Based on Anatomical Feature Points on Range Images Acquired by a Time-of-Flight Camera (Poster) (Page number in proceedings: 862), The 15th International Congress of Radiation Research (ICRR 2015) in Kyoto, 2015.05.
204.	Satoshi Yoshidome, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Kazushige Atsumi, Yasuhiko Nakamura, Hideki Yoshikawa, kei Nishikawa, Hideki Hirata, Development of an automated estimation of lung tumor locations, 第109回日本医学物理学会学術大会　(横浜), 2015.04.
205.	柴山祐亮, 有村 秀孝, 廣瀬貴章, 中村 和正, 梅津芳幸, 中村泰彦, 本田 浩, 豊福 不可依, A calculation framework of anisotropic PTV margins based on a statistical shape analysis of CTV regions for prostate cancer radiotherapy, 第109回日本医学物理学会学術大会 (横浜), 2015.04.
206.	Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Taka-aki Hirose, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Fukai Toyofuku, Improvement of automated monitoring approach of 4D dose distributions during SBRT based on 2D/3D registration with adaptive transformation parameters　(Oral), 第109回日本医学物理学会学術大会 (横浜), 2015.04.
207.	幾嶋宏二郎, 有村 秀孝, Ze Jin, 塩山 善之, 中村 和正, 本田 浩, 平田 秀紀, 豊福 不可依, Automated delineation framework of GTV regions using a machine learning classifier based on datasets of planning CT and PET/CT images, 第71回日本放射線技術学会総会学術大会　(横浜), 2015.04.
208.	笹原 基希, 有村 秀孝, 今井 美里, 柴山祐亮, 塩山 善之, 中村 和正, 本田 浩, 平田 秀紀, Investigation of feasibility of an automated approach for retrieval of similar images using PCA in a radiation treatment planning database, 第109回日本医学物理学会学術大会　(横浜), 2015.04.
209.	Hidemi Kamezawa, Hidetaka Arimura, Katsutoshi Shirieda, Noboru Kameda, Masafumi Ohki, Patient dose reduction based on various noise suppression filters for cone-beam CT in IGRT (Oral) , 第71回日本放射線技術学会総会学術大会(横浜), 2015.04.
210.	Misato Imai, Hidetaka Arimura, Ayumi Nonaka, Katsumasa Nakamura, Yoshiyuki Shioyama, Hiroshi Honda, Hideki Hirata, Usefulness of a sparse coding with different image resolutions for retrieval of a similar image dataset in radiation treatment planning, International Forum on Medical Imaging in Asia (IFMIA in Tainan, Taiwan), 2015.01.
211.	Ze Jin, Hidetaka Arimura, Yukunori Korogi, Shingo Kakeda, Fumio Yamashita, Makoto Sasaki, Impact of inhomogeneity correction on a computer-aided diagnostic framework for asymptomatic unruptured intracranial aneurysms using magnetic resonance angiography, International Forum on Medical Imaging in Asia (IFMIA in Tainan), 2015.01.
212.	Hidemi Kamezawa, Hidetaka Arimura, Katsutoshi Shirieda, Noboru Kameda, Masafumi Ohki, An approach of exposure dose reduction of cone-beam computed tomography in an image guided patient positioning system by using various noise suppression filters (Oral) , 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2014 in Kitakyusyu), 2014.12.
213.	Hidetaka Arimura, Hidemi Kamezawa, Ze　Jin, Takahiro Nakamoto, Mazen Soufi, Good Relationships between Computational Image Analysis and Radiological Physics (Invited speaker), The 5th International Conference on Mathematics and Natural Sciences (ICMNS 2014 in Bandung, Indonesia), 2014.11.
214.	Tran Thi Thao Nguyen, Hidetaka Arimura, Fujibuchi Toshioh, Hideki Hirata, Investigation of dosimetric impacts of tissue heterogeneities in intracavitary brachytherapy for cervical cancer, 14th Asia-Oceania Congress of Medical Physics (AOCMP) & 12th South East Asia Congress of Medical Physics (SEACOMP),in Ho Chi Monh City, Vietnam, 2014.10.
215.	Hidetaka Arimura, Computational Medical Image Analysis for Improvement of Quality of Radiation Therapy (Invited speaker), 14th Asia-Oceania Congress of Medical Physics (AOCMP) & 12th South East Asia Congress of Medical Physics (SEACOMP),in Ho Chi Monh City, Vietnam, 2014.10.
216.	Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Asumi Mizoguchi, Hiroshi Honda, HIdeki Hirata, Computerized framework for monitoring four-dimensional tumor dose distributions during stereotactic body radiation therapy (Oral), The 2nd International Conference on Radiological Science and Technology 2014, (in Sapporo), 2014.10.
217.	Yoshifumi Oku, Hidetaka Arimura, Yoshiyuki Hiraki, Masahiko Toyota, Yasumasa Saigo, Mutsumi Ikeda, Takashi Yoshiura, Hideki Hirata, Comparison between 2D and 3D treatment planning with interfractional anatomical variations in intracavitary brachytherapy for cervical cancer, the 7th Korea-Japan Joint Meeting on Medical Physics 2014 (Busan, Korea) , 2014.09.
218.	Masayuki Yamanouchi, Hidetaka Arimura, Itsuo Yuda, CG-based Radiation Therapy Simulator with Physical Modeling for Avoidance of Collisions between Gantry and Couch or Patient (Poster) , The American Association of Physicists in Medicine 56th Annual meeting (AAPM2014 in Austin, TX), 2014.07.
219.	Hidemi Kamezawa, Hidetaka Arimura, Katsutoshi Shirieda, Noboru Kameda, 大喜雅文, Possibility of exposure dose reduction of cone-beam computed tomography in an image guided patient positioning system by using various noise suppression filters (Poster) , The American Association of Physicists in Medicine 56th Annual meeting (AAPM2014 in Austin, TX), 2014.07.
220.	Hidetaka Arimura, Prospects of Computational Medical Image Analysis in High Precision Radiation Therapy (Special Lecture) , 電子情報通信学会IEICE 医用画像研究会MI (九州大学)　, 2014.06.
221.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Range-Image Guided System for Monitoring Intra-Fractional Setup Errors of Head and Neck Cancer Patients by Using an Infrared Ray Based Time-of-Flight Camera (oral) , 電子情報通信学会IEICE 医用画像研究会MI (九州大学), 2014.06.
222.	Misato Imai, Hidetaka Arimura, Ayumi Nonaka, Katsumasa Nakamura, Yoshiyuki Shioyama, Hiroshi Honda, Hideki Hirata, Investigation of feasibility of a sparse-coding-based image similarity for retrieval of similar cases in radiation treatment planning database (oral) , Computer Assisted Radiology and Surgery (CARS2014 in Fukuoka), 2014.06.
223.	Nguyen Tran Thi Thao, Hidetaka Arimura, Fujibuchi Toshioh, Hideki Hirata, Evaluation of dose distributions in inhomogeneous phantom for intracavitary brachytherapy with high-dose rate 192Ir source using Monte Carlo simulation.(poster) , Computer Assisted Radiology and Surgery (CARS2014 in Fukuoka), 2014.06.
224.	Yusuke Shibayama, Hidetaka Arimura, Katsumasa Nakamura, Norimasa Matsushita, Taka-aki Hirose, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Hideki Hirata, Statistical representations of clinical target volume models based on distance images for prostate cancer radiation therapy (oral) , Computer Assisted Radiology and Surgery (CARS2014 in Fukuoka), 2014.06.
225.	Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Asumi Mizoguchi, Taka-aki Hirose, Hiroshi Honda, Yoshiyuki Umedu, Yasuhiko Nakamura, HIdeki Hirata, Automated estimation of four-dimensional dose distributions in stereotactic body radiotherapy based on a 2D/3D registration between EPID dynamic images and planning CT images.(oral), Computer Assisted Radiology and Surgery (CARS2014 in Fukuoka), 2014.06.
226.	Taka-aki Hirose, Hidetaka Arimura, Yoshiyuki Umezu, Norimasa Matshishita, Yoshitaka Noguchi, Junichi Fukunaga, Tomoko Kimura, Naomi Hirano, Yoshitsugu Matsumoto, Saiji Ooga, Katsumasa Nakamura, Evaluation of a framework for determination of PTV margins based on a statistical point distribution model for CTVs in intensity modulated radiation therapy for prostate cancer (poster) , Computer Assisted Radiology and Surgery (CARS2014 in Fukuoka), 2014.06.
227.	Ayumi Nonaka, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Mazen Soufi, Taiki Magome, Hiroshi Honda, Hideki Hirata, Development of a computer-assisted method of searching for similar cases using local gradient distribution feature for stereotactic lung (oral) , 第70回日本放射線技術学会総会学術大会(JSRT 2014 in Yokohama), 2014.04.
228.	Yusuke Shibayama, Hidetaka Arimura, Katsumasa Nakamura, Norimasa Matsushita, Yoshiyuki Umezu, Taka-aki Hirose, Yasuhiko Nakamura, Hiroshi Honda, Hideki Hirata, Statistical CTV model based on distance images for prostate cancer radiation therapy (oral) , The 107th Scientific Meeting of the Japan Society of Medical Physics (JSMP2014 in Yokohama)　　, 2014.04.
229.	Tran Thi Thao Nguyen, Hidetaka Arimura, Fujibuchi Toshioh, Hideki Hirata, Investigation of variation of dose distribution in inhomogeneous phantom for intracavitary brachytherapy with HDR 192Ir using Monte Carlo simulation (oral) , The 107th Scientific Meeting of the Japan Society of Medical Physics (JSMP 2014 in Yokohama), 2014.04.
230.	Hidemi Kamezawa, Hidetaka Arimura, Katsutoshi Shirieda, Noboru Kameda, Masafumi Ohki, Possibility of exposure dose reduction of CBCT in an image guided patient setup system by using various noise reduction filters (oral) , The 107th Scientific Meeting of the Japan Society of Medical Physics (JSMP 2014 in Yokohama), 2014.04.
231.	Misato Imai, Hidetaka Arimura, Ayumi Nonaka, Katsumasa Nakamura, Yoshiyuki Shioyama, Hiroshi Honda, Hideki Hirata, Investigation of feasibility of sparse coding to search for similar cases in radiation treatment planning(oral) , The 107th Scientific Meeting of the Japan Society of Medical Physics (JSMP 2014 in Yokohama), 2014.04.
232.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Fukai Toyofuku, Computerized monitoring method of intra-fractional patient setup errors by using an infrared ray based time-of-flight camera (oral), The 107th Scientific Meeting of the Japan Society of Medical Physics (JSMP2014 in Yokohama)　　, 2014.04.
233.	Hidetaka Arimura, Computer-Assisted Particle Therapy System Based on Computational Anatomy Models for Treatment Planning　(pp.93-96), The Fifth International Symposium on the Project Computational Anatomy (Tokyo), 2014.03.
234.	Ayumi Nonaka, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Mazen Soufi, Taiki Magome, Hiroshi Honda, Hideki Hirata, Local image descriptor-based searching framework of usable similar cases in a radiation treatment planning database for stereotactic body (Paper 9039-18), SPIE Medical Imaging 2014 (San Diego), 2014.02.
235.	Ze Jin, Hidetaka Arimura, Yukunori Korogi, Fumio Yamashita, Makoto Sasaki, Evaluation of an automated identification system of unruptured intracranial aneurysm candidates based on a blob structure enhancement filter at 3.0 T magnetic resonance angiography (MI2013-102,pp.249-253), 電子情報通信学会医用画像研究会MI (沖縄), 2014.01.
236.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Taka-aki Hirose, Yoshiyuki Umezu, Fukai Toyofuku, Hideki Hirata, Automated estimation of intra-fractional patient setup errors by using range images obtained via time-of-flight camera (oral presentation), 14th International Symposium on Advanced Intelligent Systems (ISIS2013 in Daejeon)　　, 2013.11.
237.	Hidetaka Arimura, Computer-aided Neuroradiology Based on Magnetic Resonance Image Analysis and Biomathematics, The International Symposium on BioMathematics (Symomath 2013, Bandung)(Invited Speaker), 2013.10, The author describes recent researches and developments of computer-aided neuroradiology systems for brain disorders based on magnetic resonance image analysis and biomathematics, which could assist radiologists in the detection of the brain diseases such as asymptomatic unruptured aneurysms, Alzheimer's disease (AD), vascular dementia, and multiple sclerosis (MS). In particular, the computer-aided diagnostic framework for unruptured aneurysms has been being developed by our laboratory based on novel image processing and computational modeling technologies, and the system can be utilized by many general radiologists on a cloud platform..
238.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Taka-aki Hirose, Yoshiyuki Umezu, Yoshiyuki Shioyama, Fukai Toyofuku, Real-time monitoring of intra-fractional patient setup errors using range images, 日本放射線腫瘍学会第２６回学術大会（青森）, 2013.10.
239.	Hidetaka Arimura, Optimization of robust beam direction against patient setup errors in charged particle therapy, 第106回日本医学物理学会学術大会(大阪) Medical Physics　International-School&the 11Th Medical Physics Seminar, Invited Speaker , 2013.09.
240.	Takahiro Nakamoto, Hidetaka Arimura, Yoshiyuki Shioyama, Asumi Mizoguchi, Katsumasa Nakamura, Satoshi Yoshidome, Taka-aki Hirose, Hiroshi Honda, Yoshiyuki Umedu, Yasuhiko Nakamura, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Automated estimation of four-dimensional dose distribution based on high energy X-ray dynamic image during stereotactic body radiotherapy, 第106回日本医学物理学会学術大会(大阪), 2013.09.
241.	Ayumi Nonaka, Hidetaka Arimura, Yoshiyuki Shioyama, Katsumasa Nakamura, Taiki Magome, Hiroshi Honda, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Investigation of searching method of similar cases based on local features for assisting stereotactic body radiation therapy planning, 第106回日本医学物理学会学術大会（大阪）, 2013.09.
242.	Norimasa Matsushita, Hidetaka Arimura, Katsumasa Nakamura, Kagami Yoshikazu, Yoshiyuki Shioyama, Yasuhiko Nakamura, Hiroshi Honda, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Computerized Production of Statistical Clinical Target Volume Models in Prostate Cancer Radiation Treatment Planning, AAPM 55th Annual Meeting 2013 (Indianapolis) , 2013.08.
243.	Yoshifumi Oku, Hidetaka Arimura, Yoshiyuki Hiraki, Masahiko Toyota, Yasumasa Saigo, Mutsumi Ikeda, Souichirou Itou, Masayuki Nakajo, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Prospective investigation of feasibility of three-dimensional treatment planning of intracavitary brachytherapy for cervical cancer based on computed tomography images, AAPM 55th Annual Meeting 2013 (Indianapolis) , 2013.08.
244.	Satoshi Yoshidome, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Kazushige Atsumi, Hideki Yoshikawa, Kei Nishikawa, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Automated estimation of lung tumor locations for tumor-based patient setup using MV-CBCT images in stereotactic body radiotherapy, AAPM 55th Annual Meeting 2013 (Indianapolis) , 2013.08.
245.	Hidetaka Arimura, Chiaki Tokunaga, Takashi Yoshiura, Tomoyuki Ohara, Yasuo Yamashita, Fukai Toyofuku, Automated Measurement of Cerebral Cortical Thickness Based on Fuzzy Membership Map Derived from MR images for Evaluation of Alzheimer's Disease, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13, in Osaka), (Invited Speaker), 2013.07, We have proposed an automated method for three-dimensional (3D) measurement of cerebral cortical thicknesses based on fuzzy membership maps derived from magnetic resonance (MR) images for evaluation of Alzheimer's disease (AD). The cerebral cortical thickness was three-dimensionally measured on each cortical surface voxel by using a localized gradient vector trajectory in a fuzzy membership map. The proposed method could be useful for the 3D measurement of the cerebral cortical thickness on individual cortical surface voxels as an atrophy feature in AD..
246.	Hidetaka Arimura, Ze Jin, Yoshiyuki Shioyama, Katsumasa Nakamura, Taiki Magome, Masayuki Sasaki, Automated Method for Extraction of Lung Tumors Using a Machine Learning Classifier with Knowledge of Radiation Oncologists on Data Sets of Planning CT and FDG-PET/CT images, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13, in Osaka),(Invited Speaker), 2013.07, We have developed an automated method for extraction of lung tumors using a machine learning classifier with knowledge of radiation oncologists on data sets of treatment planning computed tomography (CT) and 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET)/CT images. First, the PET images were registered with the treatment planning CT images through the diagnostic CT images of PET/CT. Second, six voxel-based features including voxel values and magnitudes of image gradient vectors were derived from each voxel in the planning CT and PET /CT image data sets. Finally, lung tumors were extracted by using a support vector machine (SVM), which learned 6 voxel-based features inside and outside each true tumor region determined by radiation oncologists. The results showed that the average DSCs for 3 and 6 features for three cases were 0.744 and 0.899, and thus the SVM may need 6 features to learn the distinguishable characteristics. The proposed method may be useful for assisting treatment planners in delineation of the tumor region..
247.	Ze Jin, Hidetaka Arimura, Yoshiyuki Shioyama, Jumpei Kuwazuru, Taiki Magome, Takahiro Nakamoto, Katsumasa Nakamura, Hidetake Yabuuchi, Hiroshi Honda, Fukai Toyofuku, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Masayuki Sasaki, Automated Segmentation of GTV in Treatment Planning CT Images for Lung Cancer Radiotherapy, 学会名：医用画像情報学会（MII）平成25年度年次（第166回）大会（福岡）, 2013.06.
248.	Takahiro Nakamoto, Hidetaka Arimura, Yoshiyuki Shioyama, Asumi Mizoguchi, Katsumasa Nakamura, Taka-aki Hirose, Hiroshi Honda, Yoshiyuki Umedu, Yasuhiko Nakamura, Fukai Toyofuku, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Automated estimation of four-dimensional dose distribution using electronic portal imaging device in stereotactic body radiotherapy, International Conference on the Use of Computers in Radiation Therapy(ICCR2013 Melbourne), 2013.05.
249.	Ze Jin, Hidetaka Arimura, Yoshiyuki Shioyama, Jumpei Kuwazuru, Taiki Magome, Katsumasa Nakamura, Hidetake Yabuuchi, Hiroshi Honda, Fukai Toyofuku, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Masayuki Sasaki, Computer-aided Delineation of Tumour Regions for Lung Cancer in Multimodality Images by Localized Level Set Method, International Conference on the Use of Computers in Radiation Therapy(ICCR2013 Melbourne), 2013.05.
250.	Hidetaka Arimura, 領域抽出の基本 -物理と画像処理の良い関係- Basics of Image Segmentation -Good Relationship between Physics and Image Processing-, 第105回日本医学物理学会学術大会（横浜）(教育講演), 2013.04.
251.	Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Ayumi Iwasaki, Yoshiyuki Shioyama, Fukai Toyofuku, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Automated method for monitoring of patient positioning during treatment time based on range images, 第105回日本医学物理学会学術大会（横浜）, 2013.04.
252.	Ze Jin, Hidetaka Arimura, Yoshiyuki Shioyama, Katsumasa Nakamura, Hidetake Yabuuchi, Hiroshi Honda, Fukai Toyofuku, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Masayuki Sasaki, Computer-Aided Delineation of Lung Tumor Regions in Treatment Planning CT Images by Localized Level Set Method Combined with PET/CT Images, 第105回日本医学物理学会学術大会（横浜）, 2013.04.
253.	Measurement of dose evaluation indices using cone-beam CT for prostate IMRT.
254.	Histogram analysis of 3D cerebral cortical thicknesses on MR images for diagnosis of Alzheimer’s disease.
255.	Taiki Magome, Hidetaka Arimura, Yoshiyuki Shioyama, Asumi Mizoguchi, Katsumasa Nakamura, Yasuhiko Nakamura, Hiroshi Honda, Masafumi Ohki, Fukai Toyofuku, Ｈｉｄｅｋｉ Ｈｉｒａｔａ, Optimization method of beam directions based on similar cases in stereotactic body radiotherapy for lung cancers , 第105回日本医学物理学会学術大会（横浜）, 2013.04.
256.	Arimura Hidetaka, Computer-Assisted Particle Therapy System Based on Computational Anatomy Models for Treatment Planning, Computational Anatomy for Computer-aided Diagnosis and Therapy （Osaka University）, 2013.02.
257.	Evaluation of a Kinect-based Patient Positioning Assistance System for Temporal Subtraction, Aoki M, Kozono K, Ohno M, Kamikawa Y, Arimura H, Toyofuku F. RSNA (CHICAGO), 11.28.2012.
258.	Computerized monitoring of a lung tumor motion in four-dimensional dose distribution in stereotactic body radiation therapy..
259.	Computer-aided Neuroradiology Based on Magnetic Resonance Image Analysis.
260.	Computerized determination of robust beam directions against patient setup errors in hadron particle therapy.
261.	Computer-assisted determination of the usable beam arrangement from similar treatment plans in stereotactic body radiotherapy.
262.	Automated Contouring of Tumor Regions in Treatment Planning CT Images Using PET/CT Images Based on a Localized Level Set Method (p133-134).
263.	Computational Image-Assisted Radiation Treatment Planning.
264.	Automated Estimation Method of Patient Setup Errors Using Simulated Portal Images for Prostate Cancer Radiotherapy.
265.	Development of automated determination method of robust beam directions against patient setup errors based on spatial distribution of electron density in particle therapy.
266.	Similar-case-based optimization of beam arrangements in stereotactic body radiation therapy.
267.	Predictive Role of Mean Electron Density in Gross Tumor Volume　for Local Control in Stage I Non-Small-Cell Lung Cancer Treated with　Stereotactic Body Radiotherapy.
268.	Computerized decision making method of robust beam directions against patient displacements in particle therapy based on power spectral analysis.
269.	Automated determination of robust beam directions against patient setup errors based on electron density spatial distribution in hadron particle therapy.
270.	Computer-aided radiotherapy: extraction of bronchial regions in treatment planning CT images.
271.	Development of an automated method for segmentation of bronchial regions in planning CT images.
272.	Computer-assisted radiation treatment planning system for determination of beam directions based on similar cases in a database for stereotactic body radiotherapy, Magome T, Arimura H, Shioyama Y, Mizoguchi A, Tokunaga C, Nakamura K, Honda H, Ohki M, Toyofuku F, Hirata H. SPIE Medical Imaging 2012, San Diego, Feb.4-7,2012.
273.	Automated Contouring of Tumor Regions in CT Images Using an Adaptive Level Set Method. Arimura H, Kuwazuru J, Shioyama Y, Taniyama E, Magome T, Nakamura K, Honda H, Hirata H, Sasaki M, Toyofuku F. IWAIT2012, (Ho Chi Minh City, Vietnam) 9-10 Jan,2012.
274.	A Novel Segmentation Method for Three-Dimensional Hippocampal Regions based on Bayes’ Theorem and Probabilistic Atlases: Development and Application to Alzheimer’s Disease, Araki S, Arimura H, Yoshiura T, Tokunaga C, Yamashita Y, Ohki M, Honda H, Hirata H, Toyofuku F. RSNA (CHICAGO), 12.01.2011.
275.	Computer-aided Classification System for Alzheimer's Disease Based on Functional Image Features of Arterial Spin Labeling Cerebral Blood Flow, Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Monji A, Toyofuku F, Kuwazuru J, Magome T, Kobayashi K, Nakamura Y, Ohya N, Honda H, Ohki M. RSNA (CHICAGO), 12.01.2011.
276.	Optimization Of Robust Beam Angles To Patient Setup Errors For Head and Neck Cancer In Hadron Particle Therapy. Kakiuchi G, Arimura H, Shioyama Y, Nagano A, Minohara S, Mizoguchi A, Honda H, Toyofuku F, Ohki M, Hirata H. (Miami Beach), 10.05, 2011.
277.	Real-time monitoring of a lung tumor region based on gamma evaluation using portal dose cine images during stereotactic body radiotherapy. Mizoguchi A, Arimura H, Yoshidome S, Hirose T, Shioyama Y, Anai S, Nakamura K, Honda H, Toyofuku F, Hirata H. ASTRO2011 (Miami Beach), 10.05, 2011.
278.	Automated Determination of Beam Arrangement Based on Similar Cases in Radiotherapy Treatment Planning Database for Lung Stereotactic Body Radiotherapy. Magome T, Arimura H, Shioyama Y, Tokunaga C, Nakamura K, Anai S, Honda H, Ohki M, Toyofuku F, Hirata H. ASTRO2011 (Miami), 10.05, 2011.
279.	Computerized Contouring of Gross Tumor Volume Based On Multimodality Images Using an an Adaptive Level Set Method. Kuwazuru J, Arimura H, Shioyama Y, Taniyama E, Sasaki M, Magome T, Nakamura K, Honda H, Toyofuku F, Hirata H. ASTRO2011 (Miami Beach), 10.04, 2011.
280.	Real-time monitoring of a lung tumor region based on gamma evaluation during stereotactic body radiotherapy. Mizoguchi A, Arimura H, Yoshidome S, Hirose T, Shioyama Y, Anai S, Nakamura K, Honda H, Umezu Y, Hirata H, Ohki M, Toyofuku F. JKMP-AOCMP2011 (Fukuoka), 09.30, 2011.
281.	Automated measurement of three-dimensional cortical thicknesses in ten cerebral lobar regions for patients with Alzheimer's disease. Tokunaga C, Arimura H, Yoshiura T, Yamashita Y, Kobayashi K, Magome T, Honda H, Hirata H, Toyofuku F, Ohki M. JKMP-AOCMP2011 (Fukuoka), 09.30, 2011.
282.	Automated method for determination of beam directions based on similar cases for lung stereotactic body radiotherapy. Magome T, Arimura H, Shioyama Y, Tokunaga C, Nakamura K, Honda H, Ohki M, Hirata H, Toyofuku F. JKMP-AOCMP2011 (Fukuoka), 10.01, 2011.
283.	Computerized Delineation of Gross Tumor Volumes in Treatment Planning CT Images Using an Adaptive Level Set Method. Kuwazuru J, Arimura H, Shioyama Y, Taniyama E, Magome T, Nakamura K, Honda H, Toyofuku F, Hirata H, Sasaki M. JKMP-AOCMP2011 (Fukuoka), 9.30, 2011.
284.	Computerized verification method for patient setup using portal images during radiation treatment of prostate cancer. Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Nomoto S, Honda H, Ohki M, Toyofuku F, Hirata H. IFMIA (Okinawa), 01,18,2011..
285.	Automated Detection of Multiple Sclerosis Lesions: False Positive Removal Method Using an ANN-controlled Speed Function in a Level Set Method, Kuwazuru J, Arimura H, Kakeda S, Yamamoto D, Magome T, Yamashita Y, Ohki M, Toyofuku F, Korogi Y. IFMIA (Okinawa), 01,18,2011..
286.	Automated Fuzzy-based Segmentation of Brain Parenchymal Regions into Gray Matter and White Matter with Alzheimer’s Disease in 3.0 T Magnetic Resonance Images. Tokunaga C, Arimura H, Yoshiura T, Yamashita Y, Magome T, Honda H, Hirata H, Toyofuku F, Ohki M. RSNA (CHICAGO), 12.02.2010.
287.	Automated Verification Method for Patient Setup Based on Digitally Reconstructed Radiography and Portal Image for Prostate Cancer Treatment. Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Honda H, Hirata H. p89-90, AOCMP (Taipei), 10.17.2010.
288.	Automated Segmentation of Multiple Selerosis Candidate Regions using a Level Set Method based on an Aritificial Neural Network, Kuwazuru J, Arimura H, Kakeda S, Yamamoto D, Magome T,Yamashita Y, Ohki M, Toyofuku F, Korogi Y. AOCMP (Taipei), 10.17.2010.
289.	Computerized Classification of Patients with Alzheimer’s Disease Based on Arterial Spin-Labeled perfusion MRI. Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Magome T, Monji A, NakamuraY, Ohya N, Honda H, Higashida Y, Ohki M, Toyofuku F. WAC (Kobe), 09.20.2010.
290.	Fuzzy-Based Segmentation of Brain Parenchymal Regions with Alzheimer's Disease into Cerebral Cortex and with Matter in 3.0-T Magnetic Resonance Images, Tokunaga C, Arimura H, Yoshiura T, Yamashita Y, Magome T, Honda H, Hirata H,Toyofuku F, Ohki M. WAC (Kobe), 09.20.2010.
291.	Automated Verification Method for Patient Setup Based on Digitally Reconstructed Radiography and Portal Image for Prostate Cancer Treatment. Itano W, Arimura H, Shioyama Y, Magome T, Yoshitake T, Anai S, Nakamura K, Yoshidome S, Tachibana M, Nomoto S, Honda H, Ohki M, Toyofuku F, Hirata H. WAC (Kobe), 09.20.2010.
292.	Estimation of Lateral Scatter Kernels in EPID and Water Equivalent Phantom for Dose Verification in Stereotactic Lung Radiotherapy. Mizoguchi A, Arimura H, Yoshidome S, Tachibana M, Shioyama Y, Anai S, Nakamura K, Honda H, Higashida Y, Toyofuku F, Ohki M, Hirata H. AAPM (Philadelphia), Jul.18-22.2010.
293.	Automated Measurement of Water Equivalent Path Length of a Patient Based On a Computed Radiography in Total Body Irradiation. Yoshidome Y, Arimura H, Tachibana M, Shioyama Y, Nomoto S, Fukunaga J, Hirano N, Noguchi Y, Toyofuku F, Honda H, Hirata H. AAPM (Philadelphia), Jul.18-22.2010.
294.	Stereotactic Body Radiotherapy : Computer-Assisted Verification of a Lung Tumor Region Using EPID Without Implanted Markers. Arimura H, Shioyama Y, Nakamura K, Yoshitake T, Anai S, Nomoto S, Honda H, Toyofuku F, Higashida Y, Onizuka Y, Terashima H, Hirata H. AAPM (Philadelphia), Jul.18-22.2010.
295.	State-of-the-art CAD - Brain MR Images. Arimura H, ICMB (Hong Kong), 06.30.2010.
296.	Computer-aided verification of a lung tumor location using EPID without implanted markers in stereotactic body radiotherapy. Arimura H, Shioyama Y, Nakamura K, Yoshitake T, Anai S, Nomoto S, Honda H, Toyofuku F, Higashida Y, Onizuka Y, Terashima H, Hirata H. CARS (Geneva), 06.23.2010.
297.	Computer-aided Classification of Patients with Alzheimer’s Disease Based on Cerebral Blood Flow Map measured by Arterial Spin Labeling MRI. Yamashita Y, Arimura H, Yoshiura T, Tokunaga C, Magome T, Monji A, NakamuraY, Ohya N, Honda H, Ohki M, Higashida Y, Toyofuku F. CARS (Geneva), 06.23.2010.
298.	Automated selection of similar cases with brain tumors using MR images for assisting radiation treatment planning. Magome T, Arimura H, Shioyama Y, Nakamura K, Yoshitake T, Nomoto S, Anai S, Honda H, Ohki M, Toyofuku F, Onizuka Y, Higashida Y, Hirata H. CARS (Geneva), 06.23.2010.
299.	Computer-aided classification of patients with dementia of Alzheimer's type based on cerebral blood flow determined with arterial spin labeling technique. Yamashita Y, Arimura H, Yoshiura T, Monji A, Noguchi T, Toyofuku F, Oki M, Nakamura Y, Honda H. SPIE International Symposium Medical Imaging.(San Diego)2010.02.18.
300.	Computerized evaluation method of white matter hyperintensities related to subcortical vascular dementia in brain MR images. Arimura H, Kawata Y, Yamashita Y, Magome T, Ohki M, Toyofuku F, Higashida Y, Tsuchiya K. SPIE International Symposium Medical Imaging(San Diego),2010.02.18..
301.	Automated Localization Method for a Lung Tumor on EPID Images without Implanted Markers in Stereotactic Body Radiotherapy. Arimura H, Shioyama Y, Nakamura K, Anai S, Nomoto S, Hirata H, Honda H, Toyofuku F, Onizuka Y, Terashima H. ASTRO The American Society for Therapeutic Radiology and Oncology. (Chicago) 11.01.2009.
302.	Automated Identification of Radioactive Iodine-125 Seed Locations using Pelvic Radiography in Prostate Brachytherapy. Kawata H, Arimura H, Suefuji H, Ohkura S, Ono H, Saida H, Hayabuchi N. ASTRO The American Society for Therapeutic Radiology and Oncology. (Chicago) 11.05.2009.
303.	Automated Selection Method for Similar MR Images with Brain Tumors for　Assisting Radiation Treatment Planning. Magome T, Arimura H, Shioyama Y, Nomoto　S, Ohnishi　K, Honda　H, Ohki　M, Toyofuku F, Onizuka Y, Hirata H. ASTRO The American Society for Therapeutic Radiology and Oncology.(Chicago) 11.05.2009.
304.	Development of Computer-aided Classification System for Patients with Dementia of Alzheimer Type Based on 3-D MR Atrophic image Features. Arimura H, Yoshiura T, Uesugi M, Monji A, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y. RSNA Radiological Society of North America. （Chicago） 11.30.2008.
305.	Computerized Evaluation for White-matter Hyperintensities Related to Cognitive Dysfunction Based on Automated Detection and Semi-Automated Resegmentation. Kawata Y, Arimura H, Yamashita Y, Magome T, Toyofuku F, Higashida H, Ohki M, Tsuchiya K. RSNA Radiological Society of North America. (Chicago) 11.30.2008.
306.	Automated Estimation of a Tumor Region and Its Displacement On EPID Cine Images Without Implanted Markers in Lung Stereotactic Body Radiotherapy. H. Arimura, Y. Egashira, Y. Shioyama, K. Nakamura, S. Yoshidome, A. Shigeo, S. Nomoto, H. Honda, Y. Higashida, Y. Onizuka, H. Terashima. AAPM. (Houston) 07.28.2008.
307.	Modeling of Beam Profiles Based On Three Gaussian Functions in Lung Stereotactic Body Radiotherapy for Acceptance Test of Radiotherapy Planning System. S. Anai, H. Arimura, F. Araki, M. Tachibana, Y. Shioyama, K. Nakamura, Y. Onizuka, H. Terashima. AAPM (Houston) 07.28.2008.
308.	Automated Extraction of White Matter Regions in Multiple Sclerosis Based On High Resolution Magnetic Resonance Imaging. T. Magome, H. Arimura, S. Kakeda, D. Yamamoto, Y. Kawata, M. Ohki, F. Toyofuku, Y. Higashida, Y. Korogi. AAPM. (Houston) 07.28.2008.
309.	Computerized method for classification of patients with Alzheimer's disease based on segmentation of serebral cortical regions including hippocampal regions. Arimura H., Yoshiura T., Kumazawa S., Mihara F., Honda H., TanakaK., Koga H., Sakai S., Toyofuku F., and Higashida Y.CARS (Barcelona) 06.26.2008.
310.	Computer-aided detection of multiple sclerosis lesions based on three types of blain MR images.Yamamoto D. Arimura H. Kakeda S. Magome T. Yamashita Y. Ohki M. Toyofuku F. Higashida Y. Korogi Y. CARS (Barcelona) 06.28.2008.
311.	Performance evaluation of a CAD scheme for detection of intracranial aneurysms in MRA images based on a cross-validation test with four different databases. Yoshidome S., Arimura H., Kakeda S., Korogi Y., Tsuchiiya K., Katsuragawa S., Doi K. CARS (Barcelona) 06.26.2008.
312.	Automated Classification of Patients at Early Stages of Alzheimer’s Disease based on Segmentation of Cerebral Cortical Regions including Hippocampus and its Surroundings. Arimura H, Yoshiura T, Kumazawa S, Koga H, Mihara F, Sakai S, Honda H, Toyofuku F, Higashida Y. RSNA (Chicago) 11.25.2007.
313.	Visualization of Pyramidal　Tracts: Theory and Clinical Application of DDF-based Tractography in DT-MRI. Kumazawa S, Yoshiura T, Arimura H, Mihara F, Honda H, Toyofuku F, et al. RSNA(Chicago) 11.25.2007.
314.	Automated Method for Recognition of a Tumor Displacement on EPID Without Implanted Markers in Stereotactic Radiotherapy. Arimura H, Yoshidome S, Anai S, Shioyama Y, Nakamura K, Nomoto S, Honda H, Onizuka Y, Terashima H. ASTRO (Los Angeles) 10.28.2007.
315.	Computerized method for measurement of displacement vectors of target positions on EPID cine images in stereotactic radiotherapy. Arimura H, Anai S, Yoshidome S, Nakamura K, Shioyama Y, Nomoto S, Honda H, Onizuka Y, Terashima H. SPIE (San Diego) 02.17.2007.
316.	Automated computerized detection of ischemic lesions related to subcortical vascular dementia based on magnetic resonance imaging.YAMASHITA Y,ARIMURA H, TSUCHIYA K..
317.	Automated method for monitoring of displacement of target position on EPID cine images without implanted markers in stereotactic radiotherapy. Anai S, Arimura H, Yoshidome S, Nakamura K, Shioyama Y, Onizuka Y, Terashima H. ASTRO (Philadelphia) 11.05.2006.
318.	Automated Method for Measurement of Displacement Vectors of Lung Tumor Position on EPID Portal Cine Images without Implanted Markers in Stereotactic Radiotherapy. Arimura H, Anai S, Yoshidome S, Nakamura K, Shioyama Y, Onizuka Y, Terashima H. RSNA (Chicago) 11.26.2006.
319.	Automated Identification of Patients with Cerebral Atrophy due to Alzheimer’s Disease Based on 3-D MR images. Arimura H, Yoshiura T, Kumazawa S, Koga H, Sakai S, Mihara F, Honda H, Toyofuku F, Higashida Y. RSNA (Chicago) 11.26.2006.
320.	Performance Evaluation of a Computer-aided Diagnostic System for Detection of Intracranial Aneurysms in MR Angiography with Different Databases. Arimura H, Hirai T, Korogi Y, Yamashita Y, Tsuchiya K, Doi K. RSNA (Chicago) 11.26.2006..

Membership in Academic Society

• American Association of Physicists in Medicine (AAPM), Full Member, March 27, 07
• American Society for Therapeutic Radiology and Oncology (ASTRO) Oct.1, 2009
• Japan Society of Medical Physics
• The Institute of Electronics, Information and Communication Engineers
• Medical Imaging and Information Sciences
• Japanese Society of Radiological Technology
• Japanese Society for Therapeutic and Oncology
• Japanese Society of Medical Imaging Technology
• Japanese Society for Magnetic Resonance in Medicine
• The Japan Society of Applied Physics

Awards

• Outstanding Presentation Award, Jin Yu, Arimura H, et al."Prognoses Prediction of NSCLC Patients with CT Image Feature Linked with Gene Expression" The 2nd ICRPT,@Yokohama, April 16, 2023.
• AOCMP 2022, Best Student Award, Hamasaki H. Arimura, et al. "Noninvasive Prediction of Myocardial Ischemia Based on Fractional Flow Reserve Derived from Coronary Computed Tomography" AOCMP@Taipei, Dec.10-12, 2022
• Highly Cited Award, Arimura H."Radiomics with artificial intelligence for precision medicine in radiation therapy" JASTRO Japanese Society for Radiation Oncology@Hiroshima, Nov.10, 2022.
• Young Investigator Award, Hirose T, Arimura H, et al. "Pretreatment Prediction of Radiation Pneumonitis Based on Deep Transfer Learning after Lung Cancer Stereotactic Body Radiation Therapy" the 9th KJMP2021, Virtual Meeting, Sep. 2021.
• President's Award Gold (Kenta Ninomiya, Hidetaka Arimura, et al.) "Radiogenomic imaging biopsy for EGFR-Mutated patients with non-small cell lung cancer based on contrast CT images using invariant Betti numbers" The 121th Scientific Meeting of the Japan Society of Medical Physics(JSMP)@Yokohama, April 2021.
• Bronze Award (Hirose T. Arimura H.et al.) "Deep Learning-Based Prediction of Radiation Pneumonitis after Lung Cancer Stereotactic Body Radiation Therapy" The 77th Annual Meeting of the Japanese Society of Radiological Technology(JSRT)@Yokohama, April 2021
• Best Paper Award (Kenta Ninomiya, Arimura H.et al.) "Novel recognition approach of TKI-sensitizing EGFR mutations in non-small cell lung cancer patients using topologically invariant Betti numbers" International Forum on Medical Imaging in Asia (IFMIA) 2021, Hybrid conference, Jan.24-27, 2021,Taipei
• Best Oral Presentation Award (Tran Thi Thao Nguyen, Arimura H.et al.) "Computationally analysis of cold spots in dose distributions of VMAT plans for prostate cancer" 18th Asia-Oceania Congress of Medical Physics and 16th South-East Asia Congress of Medical Physics (AOCMP, Kuala Lumpur, 13-Nov-2018)
• English Presentation Award (Hidemi Kamemzawa, Arimura H.et al.) "Survival prediction of head and neck cancer patients based on image features selected by using artificial neural network" The 115th Scientific Meeting of the Japan Society of Medical Physics(JSMP, Yokohama)
• English Presentation Award (Ryousuke Asamura, Arimura H.et al.) "Quantitative analysis for coldspots in dose distributions of IMRT for prostate cancer" The 113th Scientific Meeting of the Japan Society of Medical Physics(JSMP, Yokohama)
• ICMP2016 Anchali Krisanachinda Award (Sasahara M, Arimura H.et al.) The 22nd International conference on Medical Physics (ICMP2016, Bangkok, Thailand) 2016.12.11, "Investigation of a target-based patient positioning framework for image-guided radiotherapy in prostate cancer treatment"
• Best Presentation Silver Award of IOMP (Nakamoto T, Arimura H.et al.) The 22nd International conference on Medical Physics (ICMP2016, Bangkok, Thailand) 2016.12.10, "2D/3D registration-based framework for estimating 4D dose distributions according to dynamic images of an EPID during SBRT for lung cancer"
• Best Presentation Award (Tran Thi Thao Nguyen, Arimura H.et al.) Vietnamese-Japanese Students' Scientific Exchange Meeting(VJSE 2016) Fukuoka, Sep. 17, 2016. "Brachytherapy for Treatment of Cervical Cancer"
• Congress Chair Award (Mazen Soufi, Arimura H.et al.) "Automated localization of anatomical feature points in infrared ray-based range images of patient surfaces by using differential geometry" The 111th Scientific Meeting of the Japan Society of Medical Physics(JSMP, Yokohama)
• Best Oral Presentation Award (Chonnikan Jongkreangkrai, Arimura H.et al.) 13th South East Asia Congress of Medical Physics (SEACOMP2015, Dec.10 - 12, 2015 in Yogyakarta, Indonesia)　"Computer-aided Classification of Alzheimer’s Disease Based on Support Vector Machine with Combination of Cerebral Image Features in MRI" Dec. 11, 2015
• Best Oral Presentation Award (Tran Thi Thao Nguyen, Arimura H.et al.) 14th Asia-Oceania Congress of Medical Physics (AOCMP) & 12th South East Asia Congress of Medical Physics (SEACOMP 2014 in Ho Chi Monh City, Vietnam)　"Investigation of dosimetric impacts of tissue heterogeneities in intracavitary brachytherapy for cervical cancer" Oct.25, 2014
• Conference Finalist of the Student Paper Award (Nonaka A, Arimura H, et al.) , International Society for Optics and Photonics (SPIE Medical Imaging, San Diego), "Local image descriptor-based searching framework of usable similar cases in a radiation treatment planning database for stereotactic body" Feb.19, 2014
• Best Session Paper Award (Soufi M, Arimura H.et al.) 14th International Symposium on Advanced Intelligent Systems (ISIS2013 in Korea)　"Automated estimation of intra-fractional patient setup errors by using range images obtained via time-of-flight camera" Nov.15, 2013
• English Presentation Award (Ze Jin, Arimura H.et al.) the 105th annual meeting of the JSMP, "Computer-Aided Delineation of Lung Tumor Regions in Treatment Planning CT Images by Localized Level Set Method Combined with PET/CT Images" Yokohama, Apr. 2013
• Radiological Physics and Technology, The Doi Prize 2011 (Magome T, Arimura H, et al.) "Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images", Radiolol Phys Technol 4(1), 61-72, 2011. (Apr.2012)
• Conference Finalist of the Best Student Paper Award (Magome T, Arimura H, et al.) , International Society for Optics and Photonics (SPIE Medical Imaging, San Diego), "Computer-assisted radiation treatment planning system for determination of beam directions based on similar cases in a database for stereotactic body radiotherapy" Feb.2012
• Finalist in Young investigator Symposium (Magome T, Arimura H, et al.)
  6th Japan-Korea Joint Meeting on Medical Physics (JKMP) 11th Asia-Oceania Congress of Medical Physics (AOCMP) Oct.2011, Fukuoka, Automated method for determination of beam directions based on similar cases for lung stereotactic body radiotherapy
• Second Place in Young investigator Symposium (Magome T, Arimura H, et al.)
  6th Japan-Korea Joint Meeting on Medical Physics (JKMP) 11th Asia-Oceania Congress of Medical Physics (AOCMP) Oct.2011, Fukuoka, Automated method for determination of beam directions based on similar cases for lung stereotactic body radiotherapy
• Finalist in Young investigator Symposium (Kuwazuru J, Arimura H, et al.) Asia-Oceania Congress of Medical Physics (AOCMP) Oct.2010,Taipei, Automated Segmentation of Multiple Sclerosis Candidate Regions using a Level Set Method based on an Artificial Neural Network
• First Place in Young investigator Symposium (Itano W, Arimura H, et al.) Asia-Oceania Congress of Medical Physics (AOCMP) Oct.2010, Taipei, Automated verification method for patient setup based on digitally reconstructed radiography and portal image for prostate cancer treatment
• Semi Final Student Paper Award (Tokunaga C, Arimura H, et al.) World Automation Congress (WAC) Sep.2010, Kobe, Fuzzy-Based Segmentation of Brain Parenchymal Regions with Alzheimer's Disease into Cerebral Cortex and with Matter in 3.0-T Magnetic Resonance Images
• Certificate of Merit, (Arimura H. et al.) Radiological Society of North America, Nov. 2006, Performance Evaluation of a Computer-aided Diagnostic System for Detection of Intracranial Aneurysms in MR Angiography with Different Databases