Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 09:45 |
Okinawa |
|
Feature Selection from Imbalanced Data
-- Pathological Pattern Classification in 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.) MI2018-87 |
Endocytoscope gives ultramagnified observation that enables physicians to achieve minimally invasive and real-time diagn... [more] |
MI2018-87 pp.109-114 |
MI |
2019-01-23 11:40 |
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 |
|
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 |
MI |
2019-01-23 15:10 |
Okinawa |
|
Report on MICCAI 2018 Masahiro Oda (Nagoya Univ.), Yoshito Otake (NAIST), Hayato Ito, Takaaki Sugino (Nagoya Univ.), Atsushi Saito (TUAT), Ryo Furukawa (Hiroshima City Univ.), Takashi Onishi, Atsushi Imiya (Chiba Univ.), Kensaku Mori (Nagoya Univ.) MI2018-111 |
In this paper, the outlines of MICCAI 2018 main conference sessions and workshops are introduced. A few interesting repo... [more] |
MI2018-111 pp.221-228 |
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 |
MICT, MI |
2018-11-06 14:30 |
Hyogo |
University of Hyogo |
A Study on Positioning Method in Hospital Keiko Yamashita, Shintaro Oyama (Nagoya Univ. Hospital), Tomohiro Otani (NTT DATA), Yoshimune Shiratori (Nagoya Univ. Hospital), Kensaku Mori (Nagoya Univ.) MICT2018-47 MI2018-47 |
Visualization of people and things in hospitals has recently become important topic for work efficiency improvement and ... [more] |
MICT2018-47 MI2018-47 pp.41-44 |
MI |
2018-07-24 11:05 |
Iwate |
aiina (Morioka, Iwate) |
Investigation of extracting interlobular septa with Radial Structure Tensor (RST) in micro-CT images Xiaotian Zhao, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Yuichiro Hayashi, Takayasu Moriya, Kai Nagara, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2018-24 |
With the advent of Micro-CT, it is expected that the three-dimensional microstructure analyses of the vital specimen may... [more] |
MI2018-24 pp.11-16 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:05 |
Okinawa |
|
A preliminary study on unsupervised registration with deep learning Kai Nagara, Holger R. Roth, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2017-65 |
Registration is one of the important processes in medical image processing. Many researchers have proposed methods for r... [more] |
MI2017-65 pp.7-12 |
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] |
2018-03-19 15:25 |
Okinawa |
|
Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on 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.) MI2017-81 |
An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time ... [more] |
MI2017-81 pp.51-56 |
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 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 10:30 |
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 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 13:30 |
Okinawa |
|
Quantitative Evaluation of Organ Surface Reconstruction from Stereo Laparoscopic Images Mutsumi Shibata, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Central Center Hospital), Kensaku Mori (Nagoya Univ.) MI2017-99 |
In this paper, we report evaluation results of the organ surface reconstruction method from stereo laparoscopic images. ... [more] |
MI2017-99 pp.117-122 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 15:20 |
Okinawa |
|
Report on MICCAI2017 Yoshito Otake (NAIST), Koichi Ito (Tohoku Univ.), Masahiro Oda (Nagoya Univ.), Ryoma Bise, Ken'ichi Morooka (Kyushu Univ.), Zhou Xiangrong (Gifu Univ.), Atsushi Saito, Akinobu Shimizu (TUAT), Yoshitaka Masutani (Hiroshima City Univ.), Yoshinobu Sato (NAIST), Kensaku Mori (Nagoya Univ.) MI2017-101 |
[more] |
MI2017-101 pp.125-131 |
MI, MICT |
2017-11-06 10:40 |
Kagawa |
Sunport Hall Takamatsu |
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Central Center Hospital), Kensaku Mori (Nagoya Univ.) MICT2017-29 MI2017-51 |
Deep learning-based methods achieved impressive results in segmentations from medical images. With the development of 3D... [more] |
MICT2017-29 MI2017-51 pp.15-20 |
MI, MICT |
2017-11-06 14:50 |
Kagawa |
Sunport Hall Takamatsu |
Study on Robustness of ORB-SLAM Based Outlier Elimination in Bronchoscope Tracking
-- RANSAC + EPnP for Outlier Detection -- Cheng Wang, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Hirotoshi Honma (Sapporo-Kosei General Hospital), Hirotsugu Takabatake (Sapporo-Minami-Sanjo Hospital), Masaki Mori (Sapporo-Kosei General Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Kensaku Mori (Nagoya Univ.) MICT2017-36 MI2017-58 |
In this paper, we investigate the robustness of outlier removal in posture tracking of bronchoscope based on ORB-SLAM. O... [more] |
MICT2017-36 MI2017-58 pp.47-52 |
MI |
2017-09-25 15:30 |
Chiba |
Chiba Univ. |
Classification of neoplasia and non-neoplasia for colon endocytoscopic images by convolutional neural network Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-44 |
Endocytoscopy is a new endoscope that enables us to perform conventional endoscopic observation and ultramagnified obser... [more] |
MI2017-44 pp.17-21 |
PRMU, BioX |
2017-03-21 10:00 |
Aichi |
|
[Short Paper]
Bile duct segmentation from 3D CT image based on machine learning and probability map-assisted region growing Pengfei Chen, Hiroshi Tanaka, Masahiro Oda, Holger Roth, Tsuyoshi Igami, Masato Nagino, Kensaku Mori (NU) BioX2016-55 PRMU2016-218 |
In this paper, we present our study on the bile duct segmentation from 3D CT volumes. In hepatobiliary surgery, it is re... [more] |
BioX2016-55 PRMU2016-218 pp.135-136 |
MI |
2017-01-18 11:22 |
Okinawa |
Tenbusu Naha |
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 |