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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-07-08
16:00		 Hokkaido (Hokkaido, Online)
(Primary: On-site, Secondary: Online)		 [Short Paper] Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss
Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Xiang Ruan (tiwaki), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-37		 Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely ... [more] MI2022-37
pp.22-23
MBE, IEE-MBE 2022-06-17
15:25		 Online Online (Online) Studies on ultrasonically and microbubble-induced blood-brain barrier opening using a gel capillary phantom
Miryu Shinzato, Kato Yuji, Hashimoto Mamoru, Nobuki Kudo (Hokkaido Univ.) MBE2022-10		 DOX-Alb is albumin nanoparticles of approximately 160 nm in diameter with anticancer drug doxorubicin (DOX) adhering to ... [more] MBE2022-10
p.12
MI 2020-09-03
11:30		 Online Online (Online) [Short Paper] Automatic Segmentation of Liver Tumor in Multi- phase CT Images by Attention Mask R-CNN
Ryo Hasegawa, Yutaro Iwamoto (Rits Univ.), Lanfen Lin, Hongjie Hu (Zhejiang University), Yen-Wei Chen (Rits Univ.) MI2020-25		 Tumor detection and segmentation are essential pretreatment steps in computer-aided diagnosis of liver tumors. In this s... [more] MI2020-25
pp.35-38
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