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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 | 2012-01-20 11:25 |
Okinawa | A pilot study of medical image texture analysis via manifold learning Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ Tokyo) MI2011-141 |
[more] | MI2011-141 pp.355-358 |
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| 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 |
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| MI | 2011-11-29 10:35 |
Hyogo | Univ. Hyogo (Portisland C.) | Acceleration of boosting using GPU and speed evaluation of training by a huge amount of data Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ Tokyo) MI2011-66 |
[more] | MI2011-66 pp.19-24 |
| MI | 2011-11-29 10:50 |
Hyogo | Univ. Hyogo (Portisland C.) | Statistical modeling of spacial landmark distribution: model building techniques for datasets with various imaging ranges Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2011-67 |
In building a statistical shape model, each training dataset is implicitly required to have the enough imaging range whi... [more] | MI2011-67 pp.25-30 |
| MI | 2011-11-29 11:30 |
Hyogo | Univ. Hyogo (Portisland C.) | Report on MICCAI 2011 Mitsutaka Nemoto, Yoshitaka Masutani (Univ. Tokyo), Akinobu Shimizu (TUAT), Hidekata Hontani (NI Tech.), Yasushi Hirano (Yamaguchi Univ.), Shouhei Hanaoka (Univ. Tokyo), Masahiro Oda (Nagoya Univ.), Rui Xu (Yamaguchi Univ.), Daisuke Furukawa, Yuta Nakano (Canon), Kensaku Mori (Nagoya Univ.) MI2011-69 |
[more] | MI2011-69 pp.37-42 |
| MI | 2011-11-29 15:30 |
Hyogo | Univ. Hyogo (Portisland C.) | A pilot study of anatomical landmark detection from thick slice CT images Mitsutaka Nemoto, Shouhei Hanaoka, Yoshitaka Masutani, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ Tokyo) MI2011-71 |
[more] | MI2011-71 pp.49-54 |
| MI | 2011-11-29 15:45 |
Hyogo | Univ. Hyogo (Portisland C.) | connectivity metric based on local appearance similarity and level-set
-- toward quantitative evaluation of landmark uncertainty -- Yoshitaka Masutani, Shouhei Hanaoka, Mitsutaka Nemoto, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2011-72 |
[more] | MI2011-72 pp.55-60 |
| MI | 2011-09-06 09:25 |
Ibaraki | AIST | Study of input voxel size on voxel-based classifier for lesion detection Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (The Univ. of Tokyo) MI2011-48 |
To improve detection accuracy for small lesion, it is desirable that a resolution of original volume data should be as h... [more] | MI2011-48 pp.7-10 |
| MI | 2011-09-06 09:50 |
Ibaraki | AIST | Improvement of vertebral segmentation accuracy by using anatomical landmark position information Shouhei Hanaoka, Yoshitaka Masutani, Yukihiro Nomura, Mitsutaka Nemoto, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2011-49 |
A method to improve the segmentation accuracy of the vertebral body with use of information on anatomical landmark posit... [more] | MI2011-49 pp.11-16 |
| 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 |
| MI | 2011-07-12 11:00 |
Hokkaido | Hokkaido University | An Analytic Solution for Diffusion Kurtosis Computation in Diffusion MR Imaging Yoshitaka Masutani (Univ. of Tokyo), Shigeki Aoki (Juntendo Univ.) MI2011-34 |
Diffusion kurtosis is a parameter to quantify the non-Gaussian motion of water molecule, and is expected as a new diagno... [more] | MI2011-34 pp.11-16 |
| PRMU, MI, IE | 2011-05-19 15:30 |
Aichi | Improvement of automated detection for anatomical landmarks within medical images
-- Increasing detection performance for soft tissue related landmarks -- Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. Tokyo) IE2011-16 PRMU2011-8 MI2011-8 |
[more] | IE2011-16 PRMU2011-8 MI2011-8 pp.39-44 |
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| 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 |
| 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 12:50 |
Saitama | [Poster Presentation]
Web-based CAD server for clinical use, evaluation, and incremental learning
-- Preliminary study for incremental learning of CAD software based on clinical feedback -- Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shouhei Hanaoka, Soichiro Miki, Eriko Maeda, Kuni Ohtomo (Univ. of Tokyo) MI2010-55 |
We have been building a web-based CAD server that enables radiologists to use CAD software and to give feedback in clini... [more] | MI2010-55 pp.31-36 |
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| MI | 2010-09-03 12:50 |
Saitama | [Poster Presentation]
Study on anatomical landmark detection from CT images via three-dimensional SIFT Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ Tokyo) MI2010-59 |
Detection of anatomical landmarks on 3D medical images is an our recent research topic. The anatomical landmarks, which... [more] | MI2010-59 pp.49-54 |
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| 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 | 2010-01-28 16:15 |
Okinawa | Naha-Bunka-Tenbusu | [Panel Discussion]
The Project "Computational Anatomy", funded by MEXT Grant-in-Aid for Scientific Research on Innovative Areas: What is aimed at? What is expected? Hidefumi Kobatake (Tokyo Univ. of Agr and Tech.), Yoshitaka Masutani (Univ. of Tokyo), Yoshinobu Sato (Osaka Univ.), Hiroshi Fujita (Gifu Univ.), Noboru Niki (Tokushima Univ.), Kensaku Mori (Nagoya Univ.), Akinobu Shimizu (Tokyo Univ. of Agr and Tech.), Shoji Kido (Yamaguchi Univ.), Makoto Hashizume (Kyushu Univ.), Hideaki Haneishi (Chiba Univ.), Junichi Hasegawa (Chukyo Univ.), Tetsuo Sato (Nara Inst. of Sci and Tech.) MI2009-114 |
[more] | MI2009-114 pp.205-210 |
| MI | 2010-01-29 09:40 |
Okinawa | Naha-Bunka-Tenbusu | The effect of training with simple pointed lesion dataset on classification accuracy
-- Preliminary study for development of CAD software with incremental learning function on clinical application -- Mitsutaka Nemoto, Yukihiro Nomura (Univ. Tokyo Hospital), Yoshitaka Masutani (Univ. Tokyo Hospital/Univ. Tokyo), Shouhei Hanaoka (Univ. Tokyo), Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka (Univ. Tokyo Hospital), Kuni Ohtomo (Univ. Tokyo Hospital/Univ. Tokyo) MI2009-121 |
CAD (Computer Assisted Detection) software in clinical use needs a robustness for image feature variations caused by dif... [more] | MI2009-121 pp.247-252 |
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