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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-06 10:45 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Report on MICCAI 2022 Hayato Itoh, Masahiro Oda, Chen Shen, Cheng Wang (Nagoya Univ.), Kanta Miura (Tohoku Univ.), Junya Sato (Osaka Univ.), Yoshito Otake (NAIST), Ryoma Bise (Kyushu Univ.), Ryo Furukawa (Kindai Univ.), Hidekata Hontani (NITech), Yoshitaka Masutani (Tohoku Univ.), Kensaku Mori (Nagoya Univ.)  MI2022-79 |
In this paper, we overview the outlines of MICCAI 2022’s main conference sessions and satellite workshops. Several inter... [more] | MI2022-79 pp.26-37 |
| MI | 2023-03-07 16:00 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Cell Tracking in C.elegans Kaito Shiku, Hiromitsu Shirai, Takeshi Ishihara, Ryoma Bise (Kyushu Univ.) MI2022-122 |
(To be available after the conference date) [more] | MI2022-122 pp.194-198 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 10:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Cell mitosis detection with partial annotation Kazuya Nishimura (Kyushu Univ.), Ami Katanaya, Shinichiro Chuma (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2022-67 IBISML2022-74 |
(To be available after the conference date) [more] | PRMU2022-67 IBISML2022-74 pp.48-53 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 17:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
learning from label proportions Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Ryoma Bise (Kyushu Univ.) PRMU2022-92 IBISML2022-99 |
[more] | PRMU2022-92 IBISML2022-99 pp.169-174 |
| PRMU | 2022-12-15 10:15 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Multi object tracking using multiple frames features. Takanori Asanomi, Kazuya Nishimura, Ryoma Bise (Kyushu Univ.) PRMU2022-33 |
[more] | PRMU2022-33 pp.7-12 |
| PRMU | 2022-12-16 17:00 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
learning label proportions Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro (Kyushu Univ.) PRMU2022-57 |
(To be available after the conference date) [more] | PRMU2022-57 pp.132-137 |
| PRMU, IPSJ-CVIM | 2022-05-13 15:20 |
Aichi | Toyota Technological Institute | Semi-supervised learning for pathological images segmentation Yuki Shigeyasu, Shota Harada, Kengo Araki (Kyushu Univ.), Akihiko Yoshizawa, Kazuhiro Terada, Yuki Teramoto (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2022-8 |
[more] | PRMU2022-8 pp.42-46 |
| MI | 2022-01-26 15:00 |
Online | Online | [Special Talk]
TBA Ryoma Bise (Kyushu Univ.) MI2021-66 |
Supervised learning (e.g., deep learning) has been used for various tasks in biomedical image analysis. While supervised... [more] | MI2021-66 p.88 |
| PRMU | 2021-12-17 15:30 |
Online | Online | [Short Paper]
The classification of cancer in Pathological image with easy annotation Tatsuhiko Sugimoto (Kyushu Univ.), Kazuhiro Terada, Akihiko Yoshizawa (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2021-54 |
(To be available after the conference date) [more] | PRMU2021-54 pp.165-169 |
| PRMU | 2021-12-17 15:40 |
Online | Online | [Short Paper]
Segmentation of Cervical Cancer Pathological Image Kengo Araki (Kyushu Univ.), Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2021-55 |
(To be available after the conference date) [more] | PRMU2021-55 pp.170-175 |
| PRMU | 2021-08-26 10:00 |
Online | Online | Unsupervised non-rigid alignment for multiple noisy images Takanori Asanomi, Kazuya Nishimura, Heon Song, Junya Hayashida (Kyushu Univ.), Hiroyuki Sekiguchi (Kyoto Univ.), Takayuki Yagi (Luxonus), Imari Sato (NII), Ryoma Bise (Kyushu Univ.) PRMU2021-7 |
We propose a deep non-rigid alignment network that can simultaneously perform non-rigid alignment and noise decompositio... [more] | PRMU2021-7 pp.1-6 |
| PRMU | 2020-10-09 10:00 |
Online | Online | Endoscopy image analysis Takeaki Kadota, Kentaro Abe, Ryoma Bise (Kyushu Univ.), Takuji Kawamura, Naokuni Sakiyama, Kiyohito Tanaka (Japanese Red Cross Kyoto Daini Hospital), Seiichi Uchida (Kyushu Univ.) PRMU2020-18 |
(To be available after the conference date) [more] | PRMU2020-18 pp.1-5 |
| PRMU | 2020-10-09 10:15 |
Online | Online | Disentangled Representation Learning for Mayo Classification of Endoscopic Images Shota Harada, Hideaki Hayashi (Kyushu Univ.), Ryoma Bise (Kyushu Univ./NII), Takuji Kawamura, Naokuni Sakiyama, Kiyohito Tanaka (Japanese Red Cross Kyoto Daini Hospital), Seiichi Uchida (Kyushu Univ./NII) PRMU2020-19 |
[more] | PRMU2020-19 pp.6-9 |
| PRMU | 2020-10-09 10:30 |
Online | Online | PRMU2020-20 |
(To be available after the conference date) [more] | PRMU2020-20 pp.10-14 |
| PRMU, IPSJ-CVIM | 2020-05-14 13:45 |
Online | Online | PRMU2020-4 |
(To be available after the conference date) [more] | PRMU2020-4 pp.19-22 |
| PRMU | 2019-12-19 13:30 |
Oita | PRMU2019-50 |
We propose a new problem setting and method that uses cancer type ratio as weak supervision for semi-supervised learning... [more] | PRMU2019-50 pp.23-27 |
|
| PRMU | 2019-10-19 11:00 |
Tokyo | Junya Hayashida, Kazuya Nishimura, Ryoma Bise (Kyushu Univ.) PRMU2019-45 |
(To be available after the conference date) [more] | PRMU2019-45 pp.73-77 |
|
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 15:55 |
Okayama | PRMU2019-13 MI2019-32 |
(To be available after the conference date) [more] | PRMU2019-13 MI2019-32 pp.9-13 |
|
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 10:00 |
Okayama | [Short Paper]
Soft-constrained clustering for facilitating image labeling Ryoma Bise, Kentaro Abe, Hideaki Hayashi (Kyushu Univ.), Kiyohito Tanaka (Kyoto Second Red Cross Hospital), Seiichi Uchida (Kyushu Univ.) PRMU2019-21 MI2019-40 |
(To be available after the conference date) [more] | PRMU2019-21 MI2019-40 pp.53-56 |
|
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 10:10 |
Okayama | PRMU2019-22 MI2019-41 |
(To be available after the conference date) [more] | PRMU2019-22 MI2019-41 pp.57-61 |
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