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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 154 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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 2017-01-18
14:15
Okinawa Tenbusu Naha 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 2017-01-18
16:10
Okinawa Tenbusu Naha Report on MICCAI 2016
Masahiro Oda (Nagoya Univ.), Shoko Miyauchi, Ken'ichi Morooka (Kyushu Univ.), Xiangrong Zhou (Gifu Univ.), Yoshitaka Masutani (Hiroshima City Univ.), Toshiya Nakaguchi, Atsushi Imiya (Chiba Univ.), Kensaku Mori (Nagoya Univ.) MI2016-118
In this paper, the outlines of MICCAI 2016 main conference sessions and workshops are introduced. Many interesting repor... [more] MI2016-118
pp.185-190
MI 2017-01-18
16:35
Okinawa Tenbusu Naha Deep-Learning-Based Segmentation for the Head Sectioned Images of the Visible Korean Project
Mohammad Eshghi, Holger R. Roth, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Min Suk Chung (Ajou Univ.), Kensaku Mori (Nagoya Univ.) MI2016-119
This paper presents the first end-to-end pixelwise fully automated segmentation of the head sectioned images of the Visi... [more] MI2016-119
pp.191-194
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 2016-07-25
14:30
Hokkaido Tomakomai Civic Hall 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
10:00
Hokkaido Tomakomai Civic Hall A Study on Fast Interactive Segmentation on 3D Medical Image using Graph-cut
Chenglong Wang, Masahiro Oda, Tokunori Yamamoto, Yasushi Yoshino (NU), Shigeru Nawano (IUHW), Kensaku Mori (NU) MI2016-40
 [more] MI2016-40
pp.23-28
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
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