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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning
Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] MI2019-75
pp.47-52
MI 2012-09-04
14:15
Tokyo Univ. of Tokyo Improvement of Cone-beam CT image quality and dose reduction via iterative reconstruction method
Satoshi Kida (Tokyo Univ), Akihiro Haga, Yoshitaka Masutani (Univ of Tokyo Hospital), Naoya Saotome, Masahiro Nakano (Tokyo Univ), Akira Sakumi, Hideomi Yamashita, Keiichi Nakagawa (Univ of Tokyo Hospital) MI2012-44
 [more] MI2012-44
pp.27-28
MI 2012-01-20
14:50
Okinawa   Improvement of Cone-beam CT image quality of radiation therapy
Satoshi Kida, Naoya Saotome (Tokyo Univ), Akihiro Haga, Yoshitaka Masutani, Keiichi Nakagawa (Univ of Tokyo Hospital) MI2011-152
 [more] MI2011-152
pp.417-418
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