Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis. - Shinya Kohara; Tomoko Tateyama; Amir Hossein Foruzan; Akira Furukawa; Shuzo Kanasaki; Makoto Wakamiya; Xiong Wei 001; Yen-Wei Chen 001 (ICIP, 2011)

Efficient shape representation and statistical shape modeling of the liver using spherical harmonic functions (SPHARM). - Tomo ko Tatey ama; Megumi Okegawa; Mei Uetani; Hidetoshi Tanaka; Shinya Kohara; Xian-Hua Han; Shuzo Kanasaki; Shigetaka Sato; Makoto Wakamiya; Akira Furukawa; Huiyan Jiang; Yen-Wei Chen 001 (SCIS&ISIS, 2012)

Quantifying stage progress of cirrhotic livers based on statistic shape models. - Yen-Wei Chen 001; Chunhua Dong; Xian-Hua Han; Tomoko Tateyama; Shuzo Kanasaki; Akira Furukawa (BMEI, 2013)

Automated assessment of small bowel motility function based on three-dimensional zero-mean normalized cross correlation. - Ayako Taniguchi; Akira Furukawa; Shuzo Kanasaki; Tomoko Tateyama; Yen-Wei Chen 001 (BMEI, 2013)

A Morphologic Analysis of Cirrhotic Liver in CT Images. - Yen-Wei Chen 001; Jie Luo; Xian-Hua Han; Tomoko Tateyama; Akira Furukawa; Shuzo Kanasaki (ICIAR, 2013)

Pilot study of applying shape analysis to liver cirrhosis diagnosis. - Jie Luo; Yen-Wei Chen 001; Xian-Hua Han; Tomoko Tateyama; Akira Furukawa; Shuzo Kanasaki (ICIP, 2013)

Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning. - Yen-Wei Chen 001; Jie Luo; Chunhua Dong; Xian-Hua Han; Tomoko Tateyama; Akira Furukawa; Shuzo Kanasaki (Comput. Math. Methods Medicine, 2013)

Automated assessment of small bowel motility function based on simple linear iterative clustering (SLIC). - Yen-Wei Chen 001; Akira Furukawa; Ayako Taniguchi; Tomoko Tateyama; Shuzo Kanasaki (FSKD, 2015)

Automated Assessment of Small Bowel Motility Function Based on Feature Points Tracking. - Kazuki Otsuki; Akira Furukawa; Shuzo Kanasaki; Yutaro Iwamoto; Tomoko Tateyama; Yen-Wei Chen 001 (ICNC-FSKD, 2018)

An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images. - He Li; Yutaro Iwamoto; Xianhua Han; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001 (EMBC, 2021)

A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images. - He Li; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001 (ICCE, 2022)

MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images. - Huimin Huang; Qingqing Chen 001; Lanfen Lin; Ming Cai; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001; Ruofeng Tong 001; Hongjie Hu (IEEE J. Biomed. Health Informatics, 2022)

3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. - He Li; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001 (IEICE Trans. Inf. Syst., 2023)