IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-29
10:05
Okinawa OKINAWAKEN SEINENKAIKAN A study of generalized generation of image features for computer-aided detection systems based on unsupervised learning with normal datasets -- Experimental evaluations of feature generation by small datasets --
Kazuyuki Ushifusa, Mitsutaka Nemoto(, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Atsuko Tanaka (Kindai Uni.), Naoto Hayashi (The Uni of Tokyo Hosp) MI2019-68
In a computer-aided detection system, image features are essential factors. In this study, we propose an image feature g... [more] MI2019-68
pp.15-18
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 2020-01-30
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
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
13:20
Okinawa   [Short Paper] Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning
Ryoma Aoki, Takeshi Hara (Gifu Univ), Taiki Nozaki, Masaki Matsusako (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ) MI2018-76
Accurate grasp of cartilage area is important for diagnosis and treatment related to arthropathy diseases. In recent yea... [more] MI2018-76
pp.63-64
MI 2017-01-18
14:15
Okinawa Tenbusu Naha [Short Paper]
Nami Nishikwa, Takeshi Hara (Gifu Univ.), Nozaki Taiki, Matsusako Masaki (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Fujita Hiroshi (Gifu Univ.) MI2016-84
(To be available after the conference date) [more] MI2016-84
pp.57-58
MI 2017-01-18
14:15
Okinawa Tenbusu Naha MI2016-92 This paper presents the improvement of the humerus recognition algorithm on a bone scintigram. Specifically, we report o... [more] MI2016-92
pp.79-80
MBE, NC
(Joint)
2016-03-23
10:30
Tokyo Tamagawa University MR-based Global Tractography Analyses of White Matter Nerve Bundles toward Identification of Neural Network associated with Schizophrenia
Satoki Yoda, Hodaka Miki, Shiho Okuhata (Kyoto Univ.), Naohiro Okada, Noriaki Yahata, Kiyoto Kasai (Tokyo Univ.), Tetsuo Kobayashi (Kyoto Univ.) MBE2015-119
 [more] MBE2015-119
pp.89-93
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan [Poster Presentation] Improvement of anatomical structure recognition algorithm from a bone scintigram by multi-atlas method
Taro Sunada, Atsushi Saito (TAT), Shohei Hanaoka (TAT/Tokyo Univ.), Shigeaki Higashiyama, Joji Kawabe, Susumu Shiomi (Osaka City Univ.), Akinobu Shimizu (TAT) MI2015-125
(To be available after the conference date) [more] MI2015-125
pp.251-256
MI 2015-09-08
14:25
Tokyo Univ. of Electro-communications Improvement of a convolutional neural network based rib fracture detection algorithm from an Ai-CT volume
Yusuke Takata (TUAT), Shohei Hanaoka (The University of Tokyo Hospital/Tokyo University of Agricultu), Seiji Yamamoto (Ai Information Center), Akinobu Shimizu (TUAT) MI2015-53
(To be available after the conference date) [more] MI2015-53
pp.25-30
MI 2013-07-18
10:35
Miyagi   Comparison of sparse non-directional graphical models on anatomical landmark distances by the Smoothly Clipped Absolute Deviation (SCAD) and the Graphical Lasso
Shouhei Hanaoka (Univ. of Tokyo Hospital), Yoshitaka Masutani (Univ. of Tokyo Hospital/Univ. of Tokyo), Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi (Univ. of Tokyo Hospital), Kuni Ohtomo (Univ. of Tokyo Hospital/Univ. of Tokyo) MI2013-20
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a multi... [more] MI2013-20
pp.7-12
NC, NLP 2013-01-24
10:10
Hokkaido Hokkaido University Centennial Memory Hall Analysis of Medical Treatment Data using Inverse Reinforcement Learning
Hideki Asoh, Masanori Shiro, Toshihiro Kamishima, Shotaro Akaho (AIST), Takahide Kohro (Univ. of Tokyo Hospital) NLP2012-106 NC2012-96
It is an important issue to utilize large amount of medical records which are accumulated on medical information systems... [more] NLP2012-106 NC2012-96
pp.13-17
MI 2013-01-24
13:10
Okinawa Bunka Tenbusu Kan Improvement of 4D Cone-beam CT image quality via iterative reconstruction methhod
Satoshi Kida (Tokyo Univ.), Yoshitaka Masutani (Tokyo Univ Hospital), Masahiro Nakano (Tokyo Univ.), Toshikazu Imae, Akihiro Haga (Tokyo Univ Hospital) MI2012-76
Cone-beam computed tomography (CBCT) is a major online imaging modality for image-guided radiotherapy (IGRT) and improve... [more] MI2012-76
pp.73-75
MI 2013-01-25
09:15
Okinawa Bunka Tenbusu Kan Anatomical landmark-based local deformation method for medical registration
Keiko Morita, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Yoshitaka Masutani (Dept. of Radiology, The Univ. of Tokyo Hospital), Hidekata Hontani (Naitech) MI2012-93
In this paper, we develop a method for constructing the mean boundary curve of anatomical objects by using anatomical la... [more] MI2012-93
pp.161-166
MI 2012-01-19
11:00
Okinawa   Web-based CAD server for clinical use, evaluation, and incremental learning -- Incremental learning of CAD software based on multicenter trial in teleradiology environment --
Yukihiro Nomura, Yoshitaka Masutani, Naoto Hayashi, Soichiro Miki, Mitsutaka Nemoto, Shouhei Hanaoka, Takeharu Yoshikawa, Kuni Ohtomo (The Univ. of Tokyo) MI2011-81
We have been building a web-based CAD server (CIRCUS CS) that enables radiologists to use CAD software and to give feedb... [more] MI2011-81
pp.23-28
MI 2012-01-20
11:25
Okinawa   Simultaneous extraction of multiple organs using a combination of conditional statistical shape model and graph cuts
Junichi Kamiyama, Sho Tomoshige, Hidefumi Watanabe, Akinobu Shimizu, Hidefumi Kobatake (TAT), Shigeru Nawano (IUHW), Mitsutaka Nemoto, Shouhei Hanaoka, Yoshitaka Masutani (UT Hosp.) MI2011-131
(To be available after the conference date) [more] MI2011-131
pp.299-304
MI 2011-09-06
17:25
Ibaraki AIST Acquisition of respiratory signal during VMAT using Portal imaging
Satoshi Kida (Univ of Tokyo), Akihiro Haga (The University of Tokyo Hospital), Naoya Saotome (Univ of Tokyo), Yoshitaka Masutani, Hideomi Yamashita, Keiichi Nakagawa (The University of Tokyo Hospital) MI2011-62
 [more] MI2011-62
pp.71-73
ET 2011-03-04
15:35
Tokushima   Support System of Editing Catheterization Movie for Education
Hideki Yokozeki, Masashi Toda (FUN), Masaaki Akahane (The Univ. of Tokyo Hospital) ET2010-142
In this study, we proposed a support system of editing catheterization movie for education and developed.
This study a... [more]
ET2010-142
pp.287-292
MI 2010-11-15
16:20
Kyoto Shimadzu Corp. Report on MICCAI 2010
Akinobu Shimizu (TUAT), Takayuki Kitasaka (AIT), Yoshitaka Masutani (Univ. of Tokyo), Yuta Nakano (CANON), Masahiro Oda (NU), Hidekata Hontani (NIT), Mitsutaka Nemoto (Univ. of Tokyo), Kensaku Mori (NU) MI2010-80
This paper focuses on about 70 % of sessions in workshops and a main conference of MICCAI2010, and introduces the outlin... [more] MI2010-80
pp.77-82
MI 2010-09-03
16:25
Saitama   A landmark set optimization algorithm from large lists of detected candidates of multiple landmarks
Shouhei Hanaoka, Yoshitaka Masutani, Yukihiro Nomura, Mitsutaka Nemoto, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo univ.) MI2010-63
Landmark detection algorithms are usable for many medical image processing. However, some false detection or inconsiste... [more] MI2010-63
pp.67-74
 Results 1 - 20 of 25  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan