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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-03-06
14:33		 Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 Automated Musculoskeletal Foot Segmentation in CT Images for Patient-Specific Functional Foot Analysis
Mazen Soufi, Yoshito Otake, Naoki Ito (NAIST), Yuto Masaki (NAIST/PSP), Tomoki Hakotani (NAIST), Takuma Miyamoto, Yasuhito Tanaka (Nara Med. Univ.), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-86		  [more] MI2022-86
pp.69-74
MI 2022-09-15
10:45		 Kanagawa
(Primary: On-site, Secondary: Online)		 Virtual Standing Position Transformation from Supine CT using Whole-body Upright CT Scanner
Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2022-52		 The modeling of human motion relies on the accurate representation of the deformations in the musculoskeletal geometry t... [more] MI2022-52
pp.16-19
MI 2022-01-26
11:05		 Online Online Study on automatic generation of COVID-19 related radiology reports from chest CT images
Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57		 In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] MI2021-57
pp.49-54
MI 2022-01-27
09:56		 Online Online Segmentation of musculoskeletal structures in supine and upright CTs towards quantitative analysis of musculoskeletal deformation in standing position
Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2021-70		 Musculoskeletal models that are faithful to medical images are important for clarifying the causes of movement disorders... [more] MI2021-70
pp.106-110
MI 2021-05-17
10:30		 Online Online A Study of Automatic Kidney Tumor Segmentation with Deep Learning
Wuyang Zhao, Chen Shen, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ), Naoki Higashida, Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ), Kensaku Mori (Nagoya Univ) MI2021-2		  [more] MI2021-2
pp.3-8
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 2020-01-29
15:00		 Okinawa OKINAWAKEN SEINENKAIKAN [Invited Talk] Implementing IT and AI in the clinical field -- AI hospital project --
Masahiro Jinzaki (Keio Univ.) MI2019-90		 (To be available after the conference date) [more] MI2019-90
p.115
SIP, MI, IE 2019-05-24
15:15		 Aichi   On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning
Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ) SIP2019-15 IE2019-15 MI2019-15		 Based on deep learning technique, the performance of image classification has made great progress. However, their state-... [more] SIP2019-15 IE2019-15 MI2019-15
pp.65-70
 Results 1 - 8 of 8  /   
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