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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2021-03-15
11:15
Online Online Improvement of extravasation detection ability using bone extraction method by adaptive threshold determination in contrast-enhanced CT images
Hiroki Kimura, Kumiko Arai, Nozomi Takahashi (Chiba Univ), Yuichiro Yoshimura (Toyama Univ), Takaaki Nakada, Toshiya Nakaguchi (Chiba Univ) MI2020-48
(To be available after the conference date) [more] MI2020-48
pp.3-8
IMQ, HIP 2020-08-21
15:30
Online Online Traumatic Bleeding Detection from Contrast-Enhanced CT Based on 3D CNN Networks
Lei Yang, Tingxiao Yang, Hiroki Kimura, Yuichiro Yoshimura, Kumiko Arai, Taka-aki Nakada (Chiba Univ.), Huiqin Jiang (Zhengzhou Univ.), Toshiya Nakaguchi (Chiba Univ.) IMQ2020-3 HIP2020-23
 [more] IMQ2020-3 HIP2020-23
pp.9-12
MSS, NLP
(Joint)
2020-03-10
16:45
Aichi  
(Cancelled but technical report was issued)
Reinforcement Learning Based Multi-Ship Course Search Method with Tracking Control
Hiroki Kimura, Takahiro Tomihara, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takushoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2019-131
We have developed multi-agent reinforcement learning system (MARLS) to search ships’ courses. Since the rudder angle is ... [more] NLP2019-131
pp.103-108
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
11:35
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images
Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-34 IE2019-116 MVE2019-55
We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduc... [more] IMQ2019-34 IE2019-116 MVE2019-55
pp.93-96
 Results 1 - 4 of 4  /   
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