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All Technical Committee Conferences (Searched in: All Years)
| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| MI | 2009-11-11 17:10 |
Osaka | Osaka Univ. Icho Kaikan | Report on MICCAI 2009 Yoshinobu Sato (Osaka Univ.), Yoshitaka Masutani (Univ. of Tokyo Hospital), Kensaku Mori (Nagoya Univ.), Tatsuro Hayashi (Gifu Univ.), Itaru Otomaru, Futoshi Yokota (Kobe Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.) MI2009-74 |
[more] | MI2009-74 pp.47-54 |
| MI | 2008-10-30 11:35 |
Tokyo | The Univ. of Tokyo | Segmentation algorithm for the whole vertebrae applicable to the posterior segment Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo Univ.) |
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