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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 152  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-29
13:20
Okinawa OKINAWAKEN SEINENKAIKAN Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning
Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] MI2019-75
pp.47-52
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
14:20
Okinawa OKINAWAKEN SEINENKAIKAN Report on MICCAI 2019
Masahiro Oda, Hayato Itoh (Nagoya Univ.), Shoko Miyauchi, Ken'ichi Morooka (Kyusyu Univ.), Hirotaka Matsuzaki (National Cancer Center Hospital East), Shohei Hanaoka (Tokyo Univ. Hospital), Ryo Furukawa, Yoshitaka Masutani (Hiroshima City Univ.), Kensaku Mori (Nagoya Univ.) MI2019-117
In this paper, the outlines of MICCAI 2019 main conference sessions and workshops are introduced. A few interesting repo... [more] MI2019-117
pp.219-226
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 2020-01-30
15:40
Okinawa OKINAWAKEN SEINENKAIKAN Study on non-rigid registration of clinical chest CT volumes and micro CT volumes of excised lung specimen
Shinya Hatakoshi, Hirohisa Oda, Yuichiro Hayashi, Holger R. Roth, Shouta Nakamura, Masahiro Oda (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami-sanjo Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.) MI2019-123
(To be available after the conference date) [more] MI2019-123
pp.249-254
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
14:10
Okayama   Analysis and Feature Selection of CNN Features -- Recognition of Neoplasia by using 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.) PRMU2019-29 MI2019-48
Pathological pattern classification is based on texture patterns in ultra magnified view of polyp surfaces.
Deep learni... [more]
PRMU2019-29 MI2019-48
pp.129-134
SIP, MI, IE 2019-05-24
15:15
Aichi   On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning
Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ) SIP2019-15 IE2019-15 MI2019-15
Based on deep learning technique, the performance of image classification has made great progress. However, their state-... [more] SIP2019-15 IE2019-15 MI2019-15
pp.65-70
MI 2019-01-22
10:05
Okinawa   Super-resolution of μCT image about dissected lung tissue using Adversarial Dense U-net
Tong Zheng, Hirohisa Oda, Holger R. Roth, Masahiro Oda, Shota Nakamura (Nagoya University), Kensaku Mori (Nagoya University/NII) MI2018-61
μCT images capture three dimensional structures of tissues with a very high resolution of 100 micrometer or smaller. fin... [more] MI2018-61
pp.7-12
MI 2019-01-22
13:20
Okinawa   Deep learning-based segmentation of head anatomical structures using multi-modal images -- Segmentation accuracy validation for training on a small amount of image data --
Takaaki Sugino, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Taichi kin (Univ. of Tokyo), Kensaku Mori (Nagoya Univ.) MI2018-77
This paper proposes a fully convolutional network-based method for segmenting head anatomical structures from multi-moda... [more] MI2018-77
pp.65-70
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
 Results 1 - 20 of 152  /  [Next]  
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