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 |
2023-03-06 13:28 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of Infected Regions from Chest CT Scans of COVID-19 Cases using Average Template Kai Liu, Masahiro Oda, Tong Zheng, Yuichiro Hayashi (Nagoya Univ.), Yoshito Otake (NAIST), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ.) MI2022-81 |
[more] |
MI2022-81 pp.40-45 |
MI |
2023-03-06 13:41 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Comparative study of the Small Intestine segmentation based on 2D and 3D U-Nets Qin An (Nagoya Univ.), Hirohisa Oda (UoS), SiRui Chen, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Univ), Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida (Nagoya Univ.), Kojiro Suzuki (Aichi Medical Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-82 |
In this paper, we aim to compare and analyze the small intestine segmentation methods based on U-Net and 3D U-Net. Segme... [more] |
MI2022-82 pp.46-51 |
MI |
2023-03-06 14:20 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information Keigo Enomoto, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ./NII) MI2022-85 |
This paper describes an automatic estimation method of blood vessel regions from laparoscopic videos using preoperative ... [more] |
MI2022-85 pp.63-68 |
MI |
2023-03-06 16:38 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
An Investigation of Effectiveness of Organ Features in Automated Anatomical Labeling Using Graph Neural Networks Tomoya Deguchi, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ/NII) MI2022-94 |
In this study, we investigate important organ features for automated anatomical labeling of abdominal arteries using Gra... [more] |
MI2022-94 pp.105-110 |
MI |
2023-03-07 17:55 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A centerline-based post-processing for detecting intestinal obstructions in CT volumes Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-130 |
This paper proposes an efficient post-processing method for intestinal obstruction detection in CT volumes. Intestinal o... [more] |
MI2022-130 pp.223-228 |
MI |
2022-01-26 11:05 |
Online |
Online |
Study on automatic generation of COVID-19 related radiology reports from chest CT images Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57 |
In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] |
MI2021-57 pp.49-54 |
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 |
2022-01-27 15:22 |
Online |
Online |
Investigation on Blood Vessels Segmentation from Images of Mouse's Cranial Window Based on Deep Learning Yunheng Wu, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Takanori Takebe (TMDU), Kensaku Mori (Nagoya Univ.) MI2021-84 |
In this paper, we utilized the U-Net for blood vessels segmentation from stereo microscope images of mouse's cranial win... [more] |
MI2021-84 pp.174-179 |
MI |
2021-05-17 10:30 |
Online |
Online |
A Study of Automatic Kidney Tumor Segmentation with Deep Learning Wuyang Zhao, Chen Shen, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ), Naoki Higashida, Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ), Kensaku Mori (Nagoya Univ) MI2021-2 |
[more] |
MI2021-2 pp.3-8 |
MI |
2021-05-17 11:00 |
Online |
Online |
[Short Paper]
Watershed-based Alveoli Segmentation from Micro-focus X-ray CT Volumes of Dissected Human Lungs Takeru Shiina, Hirohisa Oda, Tong Zheng, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-3 |
We propose a segmentation method of the alveoli from μCT volumes. The peripheral lung mainly consists of tiny spherical ... [more] |
MI2021-3 pp.9-10 |
MI |
2021-03-16 09:45 |
Online |
Online |
MI2020-66 |
In this paper, we propose a method for automatically classifying COVID-19 cases from CT images of lung fields. Currently... [more] |
MI2020-66 pp.82-86 |
MI |
2021-03-17 10:15 |
Online |
Online |
Automatic Segmentation of bleeding from Laparoscopic Video using Cascade CNN Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2020-88 |
We describe a bleeding region segmentation method using cascade CNN from laparoscopic images. In order to support laparo... [more] |
MI2020-88 pp.172-175 |
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 |
2021-03-17 11:30 |
Online |
Online |
Report on MICCAI 2020 Atsushi Saito (TUAT), Masahiro Oda (Nagoya Univ.), Yoshito Otake (NAIST), Shouhei Hanaoka (Tokyo Univ.), Ken'ichi Morooka (Okayama Univ.), Shoko Miyauchi (Kyushu Univ.), Yoshitaka Masutani (Hiroshima City Univ.), Chen Shen, Kensaku Mori (Nagoya Univ.) MI2020-92 |
In this paper, the outlines of MICCAI 2020 main conference sessions and workshops are introduced. A few interesting repo... [more] |
MI2020-92 pp.191-197 |
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 |
2020-09-03 15:10 |
Online |
Online |
Medical Image Processing on Nagoya University Super Computer System "Flow" Satoshi Ohshima, Masahiro Oda, Takahiro Katagiri, Kensaku Mori (Nagoya Univ.) MI2020-32 |
New supercomputer named "Flow" began service at July 1st, 2020 at Information Technology Center of Nagoya University. "F... [more] |
MI2020-32 pp.69-74 |
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 |
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