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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| PRMU | 2021-12-16 16:45 |
Online | Online | Supervoxel-based Explanation for Action Recognition Ying Ji (Nagoya Univ.), Yu Wang (Ritsumeikan Univ.), Kensaku Mori (Nagoya Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2021-42 |
Deep neural network has shown remarkable performance in various areas, including image classification, action recognitio... [more] | PRMU2021-42 pp.98-100 |
| 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 |
| MI | 2020-01-29 16:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Surgical tool segmentation from laparoscopic images using laparoscopic image syntheses and deep learning Takuya Ozawa, Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aich Ins. of Tech.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2019-94 |
This paper proposes a surgical tool segmentation method from laparoscopic images using image synthesis and deep learning... [more] | MI2019-94 pp.129-134 |
| MI | 2020-01-30 13:25 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Bleeding area segmentation from laparoscopic video based on U-Net for laparoscopic surgery support Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu, Takuya Ozawa (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (Cancer Center), Kensaku Mori (Nagoya Univ.) MI2019-115 |
This paper reports a bleeding region segmentation method in laparoscopic videos based on U-Net for laparoscopic surgery ... [more] | MI2019-115 pp.209-214 |
| 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 |
| MI | 2020-01-30 15:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Study on non-rigid registration of clinical chest CT volumes and micro CT volumes of excised lung specimen Shinya Hatakoshi, Hirohisa Oda, Yuichiro Hayashi, Holger R. Roth, Shouta Nakamura, Masahiro Oda (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami-sanjo Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.) MI2019-123 |
(To be available after the conference date) [more] | MI2019-123 pp.249-254 |
| 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 |
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| SIP, MI, IE | 2019-05-24 15:15 |
Aichi | On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ) SIP2019-15 IE2019-15 MI2019-15 |
Based on deep learning technique, the performance of image classification has made great progress. However, their state-... [more] | SIP2019-15 IE2019-15 MI2019-15 pp.65-70 |
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| MI | 2019-01-22 10:05 |
Okinawa | Super-resolution of μCT image about dissected lung tissue using Adversarial Dense U-net Tong Zheng, Hirohisa Oda, Holger R. Roth, Masahiro Oda, Shota Nakamura (Nagoya University), Kensaku Mori (Nagoya University/NII) MI2018-61 |
μCT images capture three dimensional structures of tissues with a very high resolution of 100 micrometer or smaller. fin... [more] | MI2018-61 pp.7-12 |
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| MI | 2019-01-22 13:20 |
Okinawa | Deep learning-based segmentation of head anatomical structures using multi-modal images
-- Segmentation accuracy validation for training on a small amount of image data -- Takaaki Sugino, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Taichi kin (Univ. of Tokyo), Kensaku Mori (Nagoya Univ.) MI2018-77 |
This paper proposes a fully convolutional network-based method for segmenting head anatomical structures from multi-moda... [more] | MI2018-77 pp.65-70 |
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