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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2025-03-19 16:45 |
Kagawa | Kagawa International Conference Hall (Kagawa, Online) (Primary: On-site, Secondary: Online) |
Quantitative Evaluation of Deep-Learning-based Motion Estimation for Colonoscopy Natsu Onozaka (Nagoya Univ.), Hayato Itoh (Fukuoka Univ./Nagoya Univ.), Oda Masahiro (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (UiO./Showa Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ./NII) |
[more] | |
| MI | 2024-03-03 17:18 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
3D shape reconstruction of colon with model-based unsupervised depth estimation Natsu Onozaka (Nagoya Univ.), Hayato Itoh (Fukuoka Univ.), Masahiro Oda (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (UiO), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.)  MI2023-60 |
We propose unsupervised trainig for the pose estimation in 3D reconstrcution of the colon from colonoscopic images by cl... [more] | MI2023-60 pp.87-90 |
| MI | 2022-01-26 13:52 |
Online | Online (Online) | Analysis of Object Detection Model Towards Precise Colorectal-Polyp Detection Hayato Itoh (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (Oslo Univ.), Shin-Ei Kudo (Showa Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-63 |
We propose new visual explanation methods for a trained object detector toward precise automated polyp localisation. Sev... [more] | MI2021-63 pp.76-81 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 14:10 |
Okayama | (Okayama) | Analysis and Feature Selection of CNN Features
-- Recognition of Neoplasia by using Endocytoscopic Images -- Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) PRMU2019-29 MI2019-48 |
Pathological pattern classification is based on texture patterns in ultra magnified view of polyp surfaces. Deep learni... [more] |
PRMU2019-29 MI2019-48 pp.129-134 |
| MI | 2019-01-23 09:45 |
Okinawa | (Okinawa) | Feature Selection from Imbalanced Data
-- Pathological Pattern Classification in Endocytoscopic Images -- Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2018-87 |
Endocytoscope gives ultramagnified observation that enables physicians to achieve minimally invasive and real-time diagn... [more] | MI2018-87 pp.109-114 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 15:25 |
Okinawa | (Okinawa) | Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-81 |
An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time ... [more] | MI2017-81 pp.51-56 |
| MI | 2017-09-25 15:30 |
Chiba | Chiba Univ. (Chiba) | Classification of neoplasia and non-neoplasia for colon endocytoscopic images by convolutional neural network Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-44 |
Endocytoscopy is a new endoscope that enables us to perform conventional endoscopic observation and ultramagnified obser... [more] | MI2017-44 pp.17-21 |
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