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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
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| PRMU | 2013-02-22 09:00 |
Osaka | Variational Computation of Mean Shape Shun Inagaki, Atsushi Imiya (Chiba Univ.), Hidekata Hontani (Nagoya Inst. of Tech.), Shouhei Hanaoka, Yoshitaka Masutani (Univ. of Tokyo) PRMU2012-163 |
In this paper, we develop a variational method for the computation of average images of biological organs in three-dime... [more] |
PRMU2012-163 pp.143-148 |
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| MI | 2013-01-24 10:00 |
Okinawa | Bunka Tenbusu Kan | Variational Mean of Biological Organs Shun Inagaki, Atsushi Imiya (Chiba Univ.), Hidekata Hontani (Nagoya Inst. of Tech.), Shouhei Hanaoka, Yoshitaka Masutani (Univ. of Tokyo) MI2012-62 |
In this paper, we develop a variational method for the computation of average images of biological organs in three-dime... [more] |
MI2012-62 pp.1-6 |
| MI | 2013-01-24 10:30 |
Okinawa | Bunka Tenbusu Kan | Construction of a sparse non-directional graphical model on anatomical landmark distances by the Graphical Lasso
-- Feasibility study for application to automatic landmark detection system -- Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2012-64 |
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a non-s... [more] | MI2012-64 pp.13-18 |
| MI | 2013-01-25 13:10 |
Okinawa | Bunka Tenbusu Kan | A pilot study of lung voxel classification for auto-detecting ground glass opacity nodules in chest CT images Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. Tokyo) MI2012-109 |
In this study, we examine various voxel classification methods for auto-extracting ground glass opacity (GGO) nodule can... [more] | MI2012-109 pp.245-248 |
| MI | 2013-01-25 15:15 |
Okinawa | Bunka Tenbusu Kan | Construction of probability model for radiologists' detection failures in a routine reading environment Yukihiro Nomura, Yoshitaka Masutani, Mitsutaka Nemoto, Shouhei Hanaoka, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (The Univ. of Tokyo) MI2012-121 |
In order to realize CAD display interfaces based on radiologists' reading characteristics, it is important to construct ... [more] | MI2012-121 pp.305-310 |
| MI | 2013-01-25 16:00 |
Okinawa | Bunka Tenbusu Kan | Report on MICCAI 2012 Yasushi Hirano (Yamaguchi Univ.), Toshiya Nakaguchi (Chiba Univ.), Shouhei Hanaoka, Yoshitaka Masutani (The Univ. of Tokyo), Akinobu Shimizu (okyo Univ. of Agriculture and Technology), Takayuki Kitasaka (Aichi Institute of Technology), Masahiro Oda, Kensaku Mori (Nagoya Univ.), Yoshihide Sawada, Hidekata Hontani (Nagoya Institute of Technology), Yoshinobu Sato (Osaka Univ.), Daisuke Furukawa, Yuta Nakano (Canon Research Centre France) MI2012-124 |
In this paper, the outline of each session of MICCAI 2012 main conference and several workshops in MICCAI 2012 are intro... [more] | MI2012-124 pp.323-328 |
| MI | 2012-09-04 10:15 |
Tokyo | Univ. of Tokyo | Automatic detection method for anatomical landmarks on the soft tissue in enhanced abdominal CT volumes Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Tokyo Univ.) MI2012-40 |
We have been developed an automatic detection system for anatomical landmarks in plain torso CT images. However, the sy... [more] | MI2012-40 pp.7-12 |
| MI | 2012-07-20 11:00 |
Yamagata | Yamagata Univ. | Preliminary study for undersampling non-lesion voxel in training of voxel-based classification for lesion detection Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (The Univ. of Tokyo) MI2012-32 |
In voxel-based classification for lesion detection, training of a classifier is time-consuming since the number of train... [more] | MI2012-32 pp.59-64 |
| 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 |
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