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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 30  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-03
17:18
Okinawa OKINAWAKEN SEINENKAIKAN
(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 2023-05-18
14:00
Aichi Nagoya Congress Center [Invited Talk] Tensor Expression for Image Pattern Analysis
Hayato Itoh (Nagoya Univ.) MI2023-2
Algorithms for discrete images realise the analysis of patterns in images, i.e., image pattern analysis. To design an al... [more] MI2023-2
pp.2-3
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 2022-01-26
13:52
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
MI 2022-01-26
14:18
Online Online [Short Paper] Development of Online Annotation Tool Towards Large-Scale Laparoscopic Video Database
Hayato Itoh, Dongping Pan, Takuya Ozawa, Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2021-65
(To be available after the conference date) [more] MI2021-65
pp.86-87
MI 2022-01-26
16:00
Online Online Report on MICCAI 2021
Hayato Itoh, Masahiro Oda, Chen Shen (Nagoya Univ.), Yoshito Otake (NAIST), Shouhei Hanaoka (Tokyo Univ.), Ken'ichi Morooka (Okayama Univ.), Hidekata Hontani (NITech), Ryo Furukawa, Yoshitaka Masutani (Hiroshima City Univ.), Kensaku Mori (Nagoya Univ.) MI2021-67
In this paper, the outlines of MICCAI 2021 main conference sessions and workshops are introduced. A few interesting repo... [more] MI2021-67
pp.89-99
MI 2021-03-17
10:30
Online Online Study on automated anatomical labeling of abdominal arteries using Spectral-based Convolutional Graph Neural Networks
Yuta Hibi, Yuichiro Hayashi (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Hayato Itoh, Masahiro Oda (Nagoya Univ), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya University/NII) MI2020-89
In this study, we report an automated anatomical labeling method of abdominal arteries using Spectral-based Convolutiona... [more] MI2020-89
pp.176-181
MI 2020-09-03
09:30
Online Online Segmentation of Layer Structure of Stomach Wall and Tumor from MicroCT volumes Using Neural Network and Spherical K-means
Midori Mitarai, Hirohisa Oda, Takaaki Sugino, Takayasu Moriya, Hayato Itoh, Masahiro Oda, Takuma Komiyama, Kazuhiro Furukawa, Ryoji Miyahara, Mitsuhiro Fujishiro (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hospital), Hirotsugu Takabatake (Sapporo Minami-sanjo Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Kensaku Mori (Nagoya Univ.) MI2020-17
This paper reports a segmentation method of the layered structure of the stomach wall and tumor from μCT volumes using f... [more] MI2020-17
pp.1-6
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning
Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] MI2019-75
pp.47-52
MI 2020-01-30
14:20
Okinawa OKINAWAKEN SEINENKAIKAN Report on MICCAI 2019
Masahiro Oda, Hayato Itoh (Nagoya Univ.), Shoko Miyauchi, Ken'ichi Morooka (Kyusyu Univ.), Hirotaka Matsuzaki (National Cancer Center Hospital East), Shohei Hanaoka (Tokyo Univ. Hospital), Ryo Furukawa, Yoshitaka Masutani (Hiroshima City Univ.), Kensaku Mori (Nagoya Univ.) MI2019-117
In this paper, the outlines of MICCAI 2019 main conference sessions and workshops are introduced. A few interesting repo... [more] MI2019-117
pp.219-226
MI 2020-01-30
15:30
Okinawa OKINAWAKEN SEINENKAIKAN Electronic bowl cleansing based on CycleGAN and its application to detection of intestinal obstruction part
Kohei Nishio, Hirohisa Oda, Kosuke Chiba (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Yuichiro Hayashi, Hayato Itoh, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Kensaku Mori (Nagoya Univ.) MI2019-122
In this paper, we report a detection method of intestinal obstructions using CycleGAN electronic cleaning from CT volume... [more] MI2019-122
pp.243-248
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
14:10
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 2019-01-22
15:20
Okinawa   A Study on Automated Lymph Node Matching Method Considering Abdominal Organs Deformation in Follow-up CT Volumes
Tachi Koki, Masahiro Oda, Yuichiro Hayashi, Hayato Itoh (Nagoya Univ.), Yoshihiko Nakamura (TNT), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ.) MI2018-84
In this paper, we report on an automated lymph node matching method considering deformation of abdominal organs in follo... [more] MI2018-84
pp.97-102
MI 2019-01-23
09:45
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
MI 2019-01-23
15:10
Okinawa   Report on MICCAI 2018
Masahiro Oda (Nagoya Univ.), Yoshito Otake (NAIST), Hayato Ito, Takaaki Sugino (Nagoya Univ.), Atsushi Saito (TUAT), Ryo Furukawa (Hiroshima City Univ.), Takashi Onishi, Atsushi Imiya (Chiba Univ.), Kensaku Mori (Nagoya Univ.) MI2018-111
In this paper, the outlines of MICCAI 2018 main conference sessions and workshops are introduced. A few interesting repo... [more] MI2018-111
pp.221-228
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
15:25
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. 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
PRMU, IE, MI, SIP 2017-05-26
09:20
Aichi   Statistical Properties of Hyperspectral Images
Kaori Tanji, Hayato Itoh, Atsushi Imiya, Naohiro Manago, Hiroaki Kuze (Chiba Univ.) SIP2017-16 IE2017-16 PRMU2017-16 MI2017-16
 [more] SIP2017-16 IE2017-16 PRMU2017-16 MI2017-16
pp.81-85
PRMU, IE, MI, SIP 2017-05-26
10:20
Aichi   Deep Subspace Methods -- Pattern Recognition using Hierarchical Structure of Linear Subspaces --
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Ngasaki Univ.) SIP2017-18 IE2017-18 PRMU2017-18 MI2017-18
We introduce an new geodesic distance between images. This distance is defined as the Wasserstein distance between contr... [more] SIP2017-18 IE2017-18 PRMU2017-18 MI2017-18
pp.93-98
PRMU, IPSJ-CVIM, MVE [detail] 2017-01-20
16:25
Kyoto   Statistical properties of Colour HoG
Kaori Tanji, Atsushi Imiya, Hayato Itoh (Chiba Univ.) PRMU2016-147 MVE2016-38
We extend the HoG method to three channel images which are captured by commercial RGB cameras. Firstly, the recognition ... [more] PRMU2016-147 MVE2016-38
pp.327-332
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