Kyushu University Academic Staff Educational and Research Activities Database
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KEN'ICHI MOROOKA Last modified date:2019.06.26



Graduate School
大学院医学系学府
Undergraduate School


E-Mail
Homepage
http://fortune.ait.kyushu-u.ac.jp/morooka_lab/index-e.html
Phone
092-802-3615
Fax
092-802-3615
Academic Degree
Ph. D. (Eng.)
Country of degree conferring institution (Overseas)
No
Field of Specialization
Medical Image Processing, Computer Vision, Computer Graphics, Pattern Recognition, Robotics
Total Priod of education and research career in the foreign country
00years00months
Outline Activities
(1) Digital Japanese brain atlas and its applications.

(2) Innovative Computer-Aided Cancer Diagnosis with Artificial Intelligence

(3) Support systems for minimally invasive surgery by a real-time finite element analysis.

(4) Patient-specific tissue model construction from medical images.

(4) Training systems for endoscopic surgery to evaluate surgical skills of young surgeons.
Research
Research Interests
  • Innovative Computer-Aided Cancer Diagnosis with Artificial Intelligence using Cell Shape and Appearance
    keyword : cancer diagnosis, cell classification
    2017.10.
  • Real-Time Nonlinear FEM-based Simulation by Neural Network of Soft Tissue Deformation
    keyword : soft tissue deformation, nonlinear finite element method, neural network
    2006.04.
  • Digital Human Brain Atlas by Using Japanese Brains
    keyword : digital brain atlas
    2006.04~2010.06.
  • Automatic Generation of Patient-specific Tissue Model from Medical Images
    keyword : medical images, volumetric model
    2006.03.
  • Wheelchair Robot with Bio-instrumentation System for Watching Patients
    keyword : wheelchair robot, bio-instrumentation system
    2006.05~2012.05.
Academic Activities
Papers
1. Ken’ichi Morooka, Ryota Matsubara, Shoko Miyauchi, Takaichi Fukuda, Takeshi Sugii, Ryo Kurazume, Ancient pelvis reconstruction from collapsed component bones using statistical shape models, MACHINE VISION AND APPLICATIONS, 10.1007/s00138-018-0972-5, 30, 1, 59-69, 2019.02.
Presentations
1. Ken'ichi Morooka, Computer Aided System for Minimally Invasive Surgery Using Deep Learning, 2019 International Conference on Intelligent Medicine and Image Processing, 2019.04.
Membership in Academic Society
  • IEEE
  • The Institute of Electronics, Information and Communication Engineers
  • Japan Society of Computer Aided Surgery
  • The Robotics Society of Japan