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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 48 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
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
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
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
MI 2008-10-30
11:10		 Tokyo The Univ. of Tokyo Preliminary study of computerized detection of ground-glass opacity nodules in chest CT images
Yukihiro Nomura, Mitsutaka Nemoto, Yoshitaka Masutani, Haruhiko Ito, Shouhei Hanaoka, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ. of Tokyo) 		We have been developing a computerized detection method of lung nodules based on volumetric curvature, and our method em... [more]
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.) 		 [more]
 Results 21 - 40 of 48 [Previous]  /  [Next]  
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