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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 | 2012-01-19 17:00 |
Okinawa | Accuracy improvement of the landmark detection system withafastout-of-imaging-range LM position estimation algorithm Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2011-115 |
We have been developed an automatic detection system for anatomical landmarks in torso CT images. However, the system h... [more] | MI2011-115 pp.209-214 |
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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 | 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 | 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 |
| 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 | 2010-09-03 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 | 2010-01-29 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 |
| MI | 2009-07-15 10:10 |
Tokyo | AIST Tokyo waterfront annex 11F meeting room #1 | Building a web-based CAD process server for clinical use of CAD software Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shouhei Hanaoka, Eriko Maeda, Kuni Ohtomo (Univ. of Tokyo) MI2009-42 |
The development of computer-assisted detection (CAD) software involves a cycle such as algorithm development, software i... [more] | MI2009-42 pp.13-18 |
| MI | 2009-07-15 11:40 |
Tokyo | AIST Tokyo waterfront annex 11F meeting room #1 | cortical and cancellous bone partition and normalized density map of the vertebral bodies based on generalized cylinder model Shouhei Hanaoka (Tokyo univ.), Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo univ) MI2009-46 |
We developed a 2-D deformable model of a cross-sectional vertebral body shape for cancellous bone segmentation in clinic... [more] | MI2009-46 pp.33-38 |
| MI | 2009-07-15 17:00 |
Tokyo | AIST Tokyo waterfront annex 11F meeting room #1 | Study of learning for classifier ensemble to differentiate lesion voxels
-- Relation between initial weight for training sample data and classification accuracy of trained ensemble -- Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. Tokyo) MI2009-53 |
[more] | MI2009-53 pp.75-78 |
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