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All Technical Committee Conferences (Searched in: All Years)
| 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 16:00 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.) MI2022-92 |
Multiphase CT images are commonly used for the diagnosis of renal cancer. In this paper, we propose a machine learning s... [more] | MI2022-92 pp.94-99 |
| 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 |
| 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) MICT2022-38 MI2022-67 |
Image defects and partial disorders are common problems in medical imaging. Image inpainting and extrapolation are helpf... [more] | MICT2022-38 MI2022-67 pp.24-28 |
| 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) MICT2022-39 MI2022-68 |
One way to describe variations in skeletal shape is a statistical shape model (SSM), which statistically analyzes organ ... [more] | MICT2022-39 MI2022-68 pp.29-32 |
| 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 |
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