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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-03 10:52 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Evaluation of underspecification in a hot-spot detection support system of bone scintigrams
-- Comparison of pre-market learning and post-market re-learning -- Keisuke Fujimoto (TUAT), Shigeaki Higashiyama, Joji Kawabe (OMU), Ryusuke Nakaoka (NIHS), Akinobu Shimizu (TUAT)  MI2023-38 |
(To be available after the conference date) [more] | MI2023-38 pp.28-29 |
| MI | 2024-03-03 11:04 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
MI2023-39 |
(To be available after the conference date) [more] | MI2023-39 pp.30-31 |
| MI | 2024-03-03 11:16 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
MI2023-40 |
(To be available after the conference date) [more] | MI2023-40 pp.32-33 |
| MI | 2024-03-03 13:15 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
[Special Talk]
Deployment of a computer-aided diagnosis system for bone scintigrams and beyond Akinobu Shimizu (TUAT) MI2023-44 |
[more] | MI2023-44 p.42 |
| MI | 2024-03-03 16:30 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Conditional statistical shape models for multiple brain regions of human embryos Nao Chikaarashi (TUAT), Tetsuya Takakuwa, Shigehito Yamada (Kyoto Univ.), Akinobu Shimizu (TUAT) MI2023-56 |
(To be available after the conference date) [more] | MI2023-56 pp.77-78 |
| MI | 2023-03-06 09:05 |
Okinawa | OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Accuracy improvement of emsemble learning based dementia classification for brain SPECT volumes Naoki Matsumoto (TUAT), Makoto Fukasawa, Tomomichi Iizuka (Fukujuji Hosp.), Akinobu Shimizu (TUAT) MI2022-72 |
(To be available after the conference date) [more] | MI2022-72 pp.1-2 |
| MI | 2023-03-06 10:23 |
Okinawa | OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Computer-aided diagnosis of chest CT images for COVID-19 with lesion enhancement Yusuke Takateyama (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT) MI2022-78 |
(To be available after the conference date) [more] | MI2022-78 pp.24-25 |
| MI | 2023-03-06 16:51 |
Okinawa | OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Synthesizing COVID-19 CT Images with Generative Adversarial Networks Ryo Kawasaki (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT) MI2022-95 |
(To be available after the conference date) [more] | MI2022-95 pp.111-112 |
| MI | 2023-03-07 09:35 |
Okinawa | OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Performance analysis of a hot-spot detection support system of bone scintigrams by post-market training Kaho Shimada (TUAT), Hiromitsu Daisaki (GCHS), Shigeaki Higashiyama, Joji Kawabe (OMU), Ryusuke Nakaoka (NIHS), Akinobu Shimizu (TUAT) MI2022-106 |
(To be available after the conference date) [more] | MI2022-106 pp.139-140 |
| MI | 2023-03-07 17:16 |
Okinawa | OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
Anomaly Region Detection for Chest CT Images based on Probability Density Estimation Hiroki Tobise, Mauricio Kugler, Tatsuya Yokota (NIT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NIT) MI2022-127 |
[more] | MI2022-127 pp.215-216 |
| MI | 2022-01-26 10:00 |
Online | Online (Online) | MI2021-52 |
In this report, we propose a method for constructing a statistical intensity model of blood vessels in thoracic CT image... [more] | MI2021-52 pp.39-40 |
| MI | 2022-01-26 10:13 |
Online | Online (Online) | [Short Paper]
Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53 |
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] | MI2021-53 pp.41-42 |
| MI | 2022-01-26 10:26 |
Online | Online (Online) | MI2021-54 |
[more] | MI2021-54 pp.43-44 |
| MI | 2022-01-27 16:00 |
Online | Online (Online) | MI2021-86 |
The appearance of skin diseases varies greatly depending on the type, location, and severity of the disease. There have ... [more] | MI2021-86 pp.184-185 |
| MI | 2022-01-27 16:26 |
Online | Online (Online) | MI2021-88 |
(To be available after the conference date) [more] | MI2021-88 pp.188-189 |
| MI | 2021-03-15 11:00 |
Online | Online (Online) | Improvement of a skeletal recognition algorithm of bone scintigrams Yuri Hoshino, Atsushi Saito (TUAT), Atsushi Yoshida, Shigeaki Higashiyama, Joji Kwabe (Osaka City Univ), Hiromitsu Daisaki (GCHS), Kazuhiro Nishikawa (NMP), Akinobu Shimizu (TUAT) MI2020-47 |
In this paper, we report the results of our work on skeletal recognition processing on bone scintigram. Specifically, we... [more] | MI2020-47 pp.1-2 |
| MI | 2021-03-16 09:00 |
Online | Online (Online) | Lung segmentation of thoracic CT volumes by combining slice-wise with pixel-wise classification Takahito Haruishi, Atsushi Saito (TUAT), Masahiro Hashimoto (Keio University), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo University), Akinobu Shimizu (TUAT) MI2020-63 |
[more] | MI2020-63 pp.72-73 |
| MI | 2021-03-16 09:30 |
Online | Online (Online) | Statistical modeling of pulmonary vasculatures in CT volumes using a deep generative model Yuki Saeki, Atshushi Saito (TUAT), Jean Cousty, Yukiko Kenmochi (LIGM/ UGE/ CNRS/ ESIEE Paris), Akinobu Shimizu (TUAT) MI2020-65 |
The purpose of this study is to build a statistical intensity model of pulmonary vasculatures in CT volumes. In this stu... [more] | MI2020-65 pp.80-81 |
| MI | 2021-03-17 09:45 |
Online | Online (Online) | Improvement of deep learning based dementia classification using brain SPECT volumes Mitsuru Yambe, Atsushi Saito (TUAT), Makoto Fukasawa, Tomomichi Iizuka (Fukujuji Hospital), Akinobu Shimizu (TUAT) MI2020-86 |
In this study, we propose a deep network to classify 3D cerebral blood flow SPECT volumes into four types: three types o... [more] | MI2020-86 pp.164-165 |
| MI | 2021-03-17 14:15 |
Online | Online (Online) | Super-resolution of thoracic CT volumes using high-frequency learning Ryosuke Kawai, Atsushi Saito (TUAT), Shoji Kido (Osaka Univ), Kunihiro Inai, Hirohiko Kimura (Fukui Univ), Akinobu Shimizu (TUAT) MI2020-97 |
We report the results of super-resolution using a new network model. Specifically, the reconstructed image is represente... [more] | MI2020-97 pp.218-219 |
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