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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-03
09:24		 Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)		 Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring
Tetsuya Asakawa, Hiroki Shinoda (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-59		 Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcifica- ... [more] PRMU2023-59
pp.47-52
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-26
15:58		 Kanagawa Keio Univ. (Hiyoshi Campus) An attempt to determine stenosis from coronary stretch images using deep learning
Tetsuya Asakawa, Hiroki Shinoda, Yuta Fukatsu (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-49		 Coronary artery stenosis, one of the most common heart diseases, is diagnosed by a human, which is a time-consuming and ... [more] PRMU2023-49
pp.50-55
MI, MICT 2023-11-14
14:00		 Fukuoka   Estimating the degree of coronary artery stenosis from non-contrast CT images using a 3D convolution model -- Categorical approach --
Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuya Togawa, Kei Nomura (Toyohashi Heart Center), Masaki Aono (TUT) MICT2023-32 MI2023-25		 In current medical images diagnosis, specialists take pictures of patients and search for the disease from the images. I... [more] MICT2023-32 MI2023-25
pp.29-32
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