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 |
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 |
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 |
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 |
MBE, NC (Joint) |
2015-12-19 10:25 |
Aichi |
Nagoya Institute of Technology |
Quantitative evaluation of White matter abnormalities in Schizophrenia based on an Automated Fiber-tracking Method with MR Diffusion Tensor Imaging. Hodaka Miki, Shiho Okuhata (Kyoto Univ), Naohiro Okada, Noriaki Yahata, Kiyoto Kasai (Tokyo Univ), Tetsuo Kobayashi (Kyoto Univ) MBE2015-81 |
【Objective】The number of schizophrenic patients in Japan is around 795 thousand and early detection and treatment would ... [more] |
MBE2015-81 pp.107-112 |
MI |
2014-01-27 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Investigation of feasibility of local gradient distribution feature for searching for similar treatment plans Ayumi Nonaka, Hidetaka Arimura, Katsumasa Nakamura (Kyushu Univ.), Yoshiyuki Shioyama (HIMAT), Taiki Magome (Hospital of Tokyo Univ.), Hiroshi Honda, Hideki Hirata (Kyushu Univ.) MI2013-103 |
[more] |
MI2013-103 pp.255-258 |
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 |
MI |
2013-07-18 11:05 |
Miyagi |
|
On Uncertainty of Anatomical Landmarks and Their Detectability by using Appearance Models Yoshitaka Masutani, Mitsutaka Nemoto, Shouhei Hanaoka, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo Hosipital) MI2013-21 |
The anatomical landmarks are defined at local structures with salient features such as projections on bones or bifurcati... [more] |
MI2013-21 pp.13-16 |
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 |
ET |
2012-09-29 14:40 |
Okayama |
|
Improvement and Evaluation of Interface in Learning Support System Using Catheterization Hideki Yokozeki (FUN), Masashi Toda (Kumamoto Univ.), Masaaki Akahane (Tokyo Univ.) ET2012-34 |
In this study, we proposed a support system of editing catheterization movie for education and developed. Attending edit... [more] |
ET2012-34 pp.33-36 |
MI |
2012-09-04 14:15 |
Tokyo |
Univ. of Tokyo |
Improvement of Cone-beam CT image quality and dose reduction via iterative reconstruction method Satoshi Kida (Tokyo Univ), Akihiro Haga, Yoshitaka Masutani (Univ of Tokyo Hospital), Naoya Saotome, Masahiro Nakano (Tokyo Univ), Akira Sakumi, Hideomi Yamashita, Keiichi Nakagawa (Univ of Tokyo Hospital) MI2012-44 |
[more] |
MI2012-44 pp.27-28 |
MI |
2012-01-19 11:20 |
Okinawa |
|
Comparison of various computation methods in diffusion kurtosis imaging and its application to atlas construction Yoshitaka Masutani (UT Hosp.), Shigeki Aoki (Juntendo Hosp.) MI2011-84 |
[more] |
MI2011-84 pp.41-46 |
MI |
2012-01-20 14:50 |
Okinawa |
|
Improvement of Cone-beam CT image quality of radiation therapy Satoshi Kida, Naoya Saotome (Tokyo Univ), Akihiro Haga, Yoshitaka Masutani, Keiichi Nakagawa (Univ of Tokyo Hospital) MI2011-152 |
[more] |
MI2011-152 pp.417-418 |
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 |
2011-07-16 10:00 |
Hokkaido |
|
Support System of Making Teaching Materials Include Fingertip Data for Doctor of Catheterization Hideki Yokozeki, Masashi Toda (FUN), Masaaki Akahane (Univ. of Tokyo Hospital) ET2011-25 |
[more] |
ET2011-25 pp.7-12 |
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 11:10 |
Kyoto |
Shimadzu Corp. |
A landmark set optimization algorithm from large lists of detected candidates of multiple landmarks <2nd report>
-- Set optimization of candidates detected from images with various examination range -- Mitsutaka Nemoto, Shouhei Hanaoka (The Univ. of Tokyo Hospital), Yoshitaka Masutani (The Univ. of Tokyo Hospital/Univ Tokyo), Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka (The Univ. of Tokyo Hospital), Kuni Ohtomo (The Univ. of Tokyo Hospital/Univ Tokyo) MI2010-70 |
[more] |
MI2010-70 pp.23-26 |