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Shuzo Kanasaki
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2020 – today
- 2023
- [j3]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. IEICE Trans. Inf. Syst. 106(5): 1027-1037 (2023) - 2022
- [j2]Huimin Huang
, Qingqing Chen
, Lanfen Lin
, Ming Cai
, Qiaowei Zhang, Yutaro Iwamoto
, Xianhua Han
, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen
, Ruofeng Tong
, Hongjie Hu:
MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images. IEEE J. Biomed. Health Informatics 26(8): 3988-3998 (2022) - [c10]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images. ICCE 2022: 1-4 - 2021
- [c9]He Li, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images. EMBC 2021: 3309-3312
2010 – 2019
- 2018
- [c8]Kazuki Otsuki, Akira Furukawa, Shuzo Kanasaki, Yutaro Iwamoto, Tomoko Tateyama, Yen-Wei Chen:
Automated Assessment of Small Bowel Motility Function Based on Feature Points Tracking. ICNC-FSKD 2018: 437-440 - 2015
- [c7]Yen-Wei Chen, Akira Furukawa, Ayako Taniguchi, Tomoko Tateyama, Shuzo Kanasaki:
Automated assessment of small bowel motility function based on simple linear iterative clustering (SLIC). FSKD 2015: 1737-1740 - 2013
- [j1]Yen-Wei Chen, Jie Luo, Chunhua Dong
, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning. Comput. Math. Methods Medicine 2013: 264809:1-264809:8 (2013) - [c6]Ayako Taniguchi, Akira Furukawa, Shuzo Kanasaki, Tomoko Tateyama, Yen-Wei Chen:
Automated assessment of small bowel motility function based on three-dimensional zero-mean normalized cross correlation. BMEI 2013: 802-805 - [c5]Yen-Wei Chen, Chunhua Dong
, Xian-Hua Han, Tomoko Tateyama, Shuzo Kanasaki, Akira Furukawa:
Quantifying stage progress of cirrhotic livers based on statistic shape models. BMEI 2013: 822-825 - [c4]Yen-Wei Chen, Jie Luo, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
A Morphologic Analysis of Cirrhotic Liver in CT Images. ICIAR 2013: 494-501 - [c3]Jie Luo, Yen-Wei Chen, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
Pilot study of applying shape analysis to liver cirrhosis diagnosis. ICIP 2013: 3537-3541 - 2012
- [c2]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:
Efficient shape representation and statistical shape modeling of the liver using spherical harmonic functions (SPHARM). SCIS&ISIS 2012: 428-431 - 2011
- [c1]Shinya Kohara, Tomoko Tateyama, Amir Hossein Foruzan
, Akira Furukawa, Shuzo Kanasaki, Makoto Wakamiya, Xiong Wei, Yen-Wei Chen:
Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis. ICIP 2011: 2921-2924
Coauthor Index
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