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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 10:58 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Multi-organ Segmentation from Abdominal CT Volumes based on Self-supervised Learning Yaqi Yang, Chen Shen (Nagoya Univ.), Holger R. Roth (NVIDIA), Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ. ; NII)  MI2023-71 |
[more] | MI2023-71 pp.127-130 |
| MI | 2024-03-04 13:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Multi-Organ Segmentation from 3D Abdominal CT Images Using Blood Vessel Enhanced Images and AutoML Mana Ohno, Shen Chen (Nagoya Univ.), Holger R. Roth (NVIDIA Corp.), Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.) MI2023-78 |
Multi-organ segmentation is an essential method for the development of computer-aided diagnosis and surgery systems. In ... [more] | MI2023-78 pp.152-155 |
| MI | 2023-03-06 09:44 |
Okinawa | OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Machine learning models using CT images and clinical variable to classify tumors in testicular cancer Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba) MI2022-75 |
This paper presents machine learning methods to classify tumors in testicular cancer. The model combines CT images and c... [more] | MI2022-75 pp.8-13 |
| MI | 2023-03-06 14:20 |
Okinawa | OKINAWA SEINENKAIKAN (Okinawa, Online) (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 (Okinawa, Online) (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 | 2021-07-09 10:30 |
Online | Online (Online) | Applying Convolutional Network to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell tumors Yoshimasa Iwano, Satoshi Nitta (Univ. of Tsukuba), Takahiro Kojima (Aichi Cancer Center), Hideki Kakeya (Univ. of Tsukuba) MI2021-15 |
The main treatment for advanced testicular cancer is chemotherapy and following surgical resection of residual masses. T... [more] | MI2021-15 pp.25-30 |
| MI | 2021-03-16 10:15 |
Online | Online (Online) | [Short Paper]
Association analysis of SNPs with emphysema progression on long-term follow-up CT images Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Issei Imoto (Aichi Cancer Center Research Institute), Masahiko Kusumoto (NCCH), Yasutaka Nakano (Shiga Univ. of Medical Science), Masahiro Kaneko (Tokyo Health Service Association) MI2020-68 |
[more] | MI2020-68 pp.90-91 |
| MI | 2021-03-17 10:30 |
Online | 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 | 2019-01-22 15:20 |
Okinawa | (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 11:40 |
Okinawa | (Okinawa) | Influence of group normalization in multi-class organ segmentation of abdominal CT volumes Chen Shen (Nagoya Univ.), Fausto Milletari, Holger R. Roth (Nvidia), Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2018-94 |
Organ segmentation is one of the most important branches of medical image analysis. Fully convolutional networks (FCNs) ... [more] | MI2018-94 pp.143-148 |
| MI | 2019-01-23 14:00 |
Okinawa | (Okinawa) | Study on Automated Labeling of Abdominal Arteries Using Machine Learning with Data Augmentation Yusuke Tetsumura, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ) MI2018-106 |
In this paper, we improve automated anatomical labeling accuracy for the abdominal arteries by introducing data augmenta... [more] | MI2018-106 pp.191-196 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:40 |
Okinawa | (Okinawa) | [Poster Presentation]
Improvement of surgical field retrieval for intelligent laparotomy video archive
-- Validation of registration accuracy by FFD -- Takayuki Kitasaka, Toi Okuda, Jun Sato, Masahito Toyoda, Hiroaki Sawano, Yasuhito Suenaga (Aichi Inst. of Tech.), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ.) MI2017-72 |
For learning the laparotomy, videos which are captured real laparotomy are used as a text. There is a problem in such vi... [more] | MI2017-72 pp.31-32 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 10:15 |
Okinawa | (Okinawa) | Automated Multi-Organ Segmentation from CT Volumes Based on 3D U-Net and Fully Connected CRF using Geodesic Distance Kernel Ying Yang, Holger Roth, Masahiro Oda (Naogoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Naogoya Univ.) MI2017-88 |
[more] | MI2017-88 pp.75-80 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 10:30 |
Okinawa | (Okinawa) | A preliminary study on organ region localization using regression CNN Natsuki Shimizu, Masahiro Oda, Holger R. Roth, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Nagoya Univ.) MI2017-89 |
Recently, three dimensional CT volumes are widely used in treatment and diagnosis. Development of a computer-aided diagn... [more] | MI2017-89 pp.81-86 |
| PRMU, BioX | 2017-03-21 10:15 |
Aichi | (Aichi) | Automated Anatomical Labeling of Abdominal Arteries Using Conditional Random Fields With Contrast Sensitive Potentials XiaoNan Zhang, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Kazunari Misawa (Aichi Cancer Center Hospital), Kenasaku Mori (Nagoya Univ.) BioX2016-56 PRMU2016-219 |
For safe and adequate laparoscopic abdominal surgery, it is important to have a clear grasp of the structures of the bl... [more] | BioX2016-56 PRMU2016-219 pp.137-142 |
| MI | 2017-01-18 11:22 |
Okinawa | Tenbusu Naha (Okinawa) | Automated abdominal lymph node detection from 3D CT volumes using Structured Random Forest Yutaka Hoshiyama, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Yoshihiko Nakamura (NIT), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Nagoya Univ.) MI2016-76 |
In this paper, we report a study on automated lymph node detection method from 3D abdominal CT volumes using the Structu... [more] | MI2016-76 pp.23-28 |
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha (Okinawa) | Influence of Voxel-Connection Structure in Organ Segmentation Based on Conditional Random Field Ying Yang, Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Daniel Rueckert (Imperial College London), Kensaku Mori (Nagoya Univ.) MI2016-112 |
[more] | MI2016-112 pp.157-162 |
| MI | 2016-07-25 14:00 |
Hokkaido | Tomakomai Civic Hall (Hokkaido) | Evaluation of surgical field retrieval for intelligent laparotomy video archive Takayuki Kitasaka, Shinji Goto, Shun Sugita, Hayate Tominaga, Hiroaki Sawano, Yasuhito Suenaga (AIT), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ) MI2016-36 |
[more] | MI2016-36 pp.5-6 |
| MI | 2016-07-25 14:30 |
Hokkaido | Tomakomai Civic Hall (Hokkaido) | Evaluation of Organ Surface Reconstruction from Stereo Laparoscopic Images for Laparoscopic Surgery Navigation Mutsumi Shibata, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2016-37 |
[more] | MI2016-37 pp.7-12 |
| MI | 2016-07-26 13:45 |
Hokkaido | Tomakomai Civic Hall (Hokkaido) | A study on detection accuracy of automated lymph node detection method from follow-up 3D X-ray CT images Yoshihiko Nakamura (NIT, Tomakomai College), Yutaka Hoshiyama, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.) MI2016-43 |
[more] | MI2016-43 pp.39-42 |
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