九州大学 研究者情報
論文一覧
安藤 詩音(あんどう しおん) データ更新日:2024.04.20

助教 /  工学研究院 機械工学部門


原著論文
1. Shion Ando, Shinji Nakaya, Mitsuhiro Tsue, Effects of oxidative degradation on the single-droplet burning behavior of refined palm and Jatropha curcas oil, Combustion and Flame, 10.1016/j.combustflame.2023.113138, 259, 113138-113138, 2024.01.
2. Shion Ando, Ping Yeap Loh, Convolutional Neural Network Approaches in Median Nerve Morphological Assessment from Ultrasound Images, Journal of Imaging, 10.3390/jimaging10010013, 10, 1, 13-13, 2024.01, Ultrasound imaging has been used to investigate compression of the median nerve in carpal tunnel syndrome patients. Ultrasound imaging and the extraction of median nerve parameters from ultrasound images are crucial and are usually performed manually by experts. The manual annotation of ultrasound images relies on experience, and intra- and interrater reliability may vary among studies. In this study, two types of convolutional neural networks (CNNs), U-Net and SegNet, were used to extract the median nerve morphology. To the best of our knowledge, the application of these methods to ultrasound imaging of the median nerve has not yet been investigated. Spearman’s correlation and Bland–Altman analyses were performed to investigate the correlation and agreement between manual annotation and CNN estimation, namely, the cross-sectional area, circumference, and diameter of the median nerve. The results showed that the intersection over union (IoU) of U-Net (0.717) was greater than that of SegNet (0.625). A few images in SegNet had an IoU below 0.6, decreasing the average IoU. In both models, the IoU decreased when the median nerve was elongated longitudinally with a blurred outline. The Bland–Altman analysis revealed that, in general, both the U-Net- and SegNet-estimated measurements showed 95% limits of agreement with manual annotation. These results show that these CNN models are promising tools for median nerve ultrasound imaging analysis..
3. Florian Meyer, Christian Eigenbrod, Volker Wagner, Wolfgang Paa, James C. Hermanson, Shion Ando, Marc Avila, Oxygen droplet combustion in hydrogen under microgravity conditions, Combustion and Flame, 10.1016/j.combustflame.2022.112081, 241, 1-11, 2022.07.
4. 原田 一輝, 安藤 詩音, 伊東 侑哉, 川添 裕三, 橋本 英樹, 森上 修, 急速圧縮膨張装置を用いた酸素富化による希薄燃焼の燃焼促進に関する研究, 日本機械学会論文集, 10.1299/transjsme.21-00168, 87, 900, 1-12, 2021.10.
5. Shion Ando, Kei Shimada, Daijiro Eto, Osamu Moriue, Experimental Investigation of Cool Flame Behavior of Isolated n-Decane/Ethanol Droplet under Microgravity, Microgravity Science and Technology, 10.1007/s12217-021-09893-5, 33, 54, 2021.05.
6. Hitoshi Fujiwara, Patrick Salman, Shion Ando, Hiromu Ishikawa, Shinji Nakaya, Mitsuhiro Tsue, Keiichi Okai, Emission Characteristics and Flame Stability in HEFA Fueled Gas Turbine Combustors, Sustainable Development for Energy, Power, and Propulsion, 10.1007/978-981-15-5667-8_13, 323-356, 2020.09.
7. Shion Ando, Yuxiang Wu, Shinji Nakaya, Mitsuhiro Tsue, Droplet Combustion Behavior of Oxidatively Degraded Methyl Laurate and Methyl Oleate in Microgravity, Combustion and Flame, 10.1016/j.combustflame.2019.12.042, 214, 199-210, 2020.05.
8. 安藤 詩音, 呉 宇翔, 中谷 辰爾, 津江 光洋, 微小重力環境下における雰囲気温度および二酸化炭素が酸化劣化オレイン酸メチル単一液滴の燃焼挙動におよぼす影響, 日本燃焼学会誌, 10.20619/jcombsj.1907, 62, 200, 74-82, 2020.05.

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pure2017年10月2日から、「九州大学研究者情報」を補完するデータベースとして、Elsevier社の「Pure」による研究業績の公開を開始しました。