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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
13:50		 Online Online Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism
Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) 		Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillar... [more]
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
11:15		 Hokkaido Hokkaido Univ. A note on classification of brain metastases from MR images based on machine learning
Kento Sugata, Takahiro Ogawa, Miki Haseyama, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato (Hokkaido Univ.) 		This paper presents a method that classifies magnetic resonance (MR) images suffered from brain metastases. The proposed... [more]
MI 2012-07-19
16:20		 Yamagata Yamagata Univ. [Special Talk] Brain Functional Imaging by 7T-MRI
Kohsuke Kudo (Iwate Med. Univ.) MI2012-27		 7T-MRI is a developing and next-generation MR machine currently installed in about 40 institutes around the world. Funda... [more] MI2012-27
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