Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2025-05-15 14:45 |
Nara |
(Primary: On-site, Secondary: Online) |
Improving the accuracy of 3D reconstruction of the surgical field in endoscopic surgery Ryosei Asano, Takayuki Kitasaka (AIT), Shota Nakamura, Yuichiro Hayashi, Kensaku Mori, Toyofumi Yoshikawa (Nagoya Univ) |
[more] |
|
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 |
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 |
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 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 |
2019-01-22 15:20 |
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 14:00 |
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 |
MICT, MI |
2018-11-06 11:00 |
Hyogo |
University of Hyogo |
Investigation on the condition of using adjacent reconstruction in visual bronchoscope tracking Cheng Wang, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. Univ.), Hirotoshi Honma (Sapporo Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami Sanjo Hosp.), Masaki Mori (Sapporo Kosei General Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.) MICT2018-43 MI2018-43 |
This paper reports the condition of using adjacent reconstruction during SLAM-based visual bronchoscope tracking. Visual... [more] |
MICT2018-43 MI2018-43 pp.27-32 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:40 |
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 |
|
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 |
PRMU, BioX |
2017-03-21 10:15 |
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 14:15 |
Okinawa |
Tenbusu Naha |
GPU Programming for MIST Library Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi. Inst. Tech.), Kensaku Mori (Nagoya Univ.) MI2016-106 |
In recent years, there is a trend toward the development of high-speed computation techniques due to the improvement in ... [more] |
MI2016-106 pp.133-136 |
MI |
2016-07-25 14:00 |
Hokkaido |
Tomakomai Civic Hall |
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 |
2016-07-26 13:45 |
Hokkaido |
Tomakomai Civic Hall |
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 |
MI |
2016-01-19 10:24 |
Okinawa |
Bunka Tenbusu Kan |
Accuracy improvement of automated anatomical label display on the virtual bronchial wall using bronchial structure information Takahiro Yamamoto, Takayuki Kitasaka (AIT), Yukitaka Nimura (Nagoya Univ), Yasuhito Suenaga (AIT), Kensaku Mori (Nagoya Univ) MI2015-75 |
In medical education, volume rendered images are used to learn the human anatomy. However, it is not easy to understand ... [more] |
MI2015-75 pp.13-18 |