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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-15
15:30		 Online Online Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets
Bin Zhang, Yoshito Otake, Mazen Soufi (NAIST), Masatoshi Hori (Kobe University), Noriyuki Tomiyama (Osaka University), Yoshinobu Sato (NAIST) MI2020-60		 Manual annotation in image segmentation is time-consuming and expensive. In order to obtain large number of annotated da... [more] MI2020-60
pp.62-65
MI 2020-01-30
14:50		 Okinawa OKINAWAKEN SEINENKAIKAN MR Imaging biomarkers for Prediction of Genetic Assessment for Breast Cancer Recurrence: A Radiogenomics Study
Taiguang Yuan, Ze Jin (Tokyo Tech), Yukiko Tokuda, Noriyuki Tomiyama, Yasuto Naoi (OU), Kenji Suzuki (Tokyo Tech) MI2019-118		  [more] MI2019-118
pp.227-230
MI 2016-01-20
09:56		 Okinawa Bunka Tenbusu Kan Automated liver segmentation from 3D MRI without parameter tuning for imaging condition
Yuto Masaki, Shunta Hirayama, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-114		 The automated segmentation of liver from MRI is useful for computer-aided diagnosis system to liver fibrosis.
Several p... [more]		 MI2015-114
pp.199-204
MI 2015-03-02
11:30		 Okinawa Hotel Miyahira Information fusion for computer-aided diagnosis of liver fibrosis -- Integration of shape information into conventional blood test based diagnosis --
Yuto Masaki, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama, Yoshinobu Sato (NAIST) MI2014-64		 Liver biopsy currently used for a definitive diagnosis of liver fibrosis is invasive and causes inconvenience to the pat... [more] MI2014-64
pp.59-62
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