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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 169  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MICT, MI 2022-11-18
14:00
Aichi Nagoya Institute of Technology Extrapolation of partial X-ray image for prediction of whole body musculoskeletal structure
Weiqi Zhang, Yi Gu, Yoshito Otake, Soufi Mazen (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Toshiaki Akashi (Juntendo Univ), Kensaku Mori (Nagoya Univ/NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST)
 [more]
MICT, MI 2022-11-18
14:25
Aichi Nagoya Institute of Technology Development of a Statistical Model for Predicting Aging Change in Spine and Pelvis Based on Landmarks Detected in a Large Scale Torso CT Image Database
Yuga Shimomoto, Yoshito Otake, Tomoki Hakotani, Mazen Soufi (NAIST), Hideki Shigematu (Nara Med. Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Toshiaki Akashi (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)
 [more]
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
11:10
Online Online [Fellow Memorial Lecture] [IEICE Fellow Special Lecture] Human anatomical structure analysis by medical image processing and its application to diagnostic and therapeutic procedures assistance -- Look back 30 years of research experiences and predict future --
Kensaku Mori (Nagoya Univ.) MI2021-74
This paper outlines my IEICE Fellow Special Lecture entitled human anatomical structure analysis by medical image proces... [more] MI2021-74
pp.127-132
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
 Results 1 - 20 of 169  /  [Next]  
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