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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 42件中 1~20件目  /  [Next]  
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)
 [more]
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:40
Okinawa   A pilot study to detect anatomical landmarks using convolutional neural network
Mitsutaka Nemoto, Shogo Watanabe, Yuichi Kimura (Kindai Univ.), Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi (Univ. of Tokyo) MI2017-80
 [more] MI2017-80
pp.47-50
MI 2015-03-03
16:36
Okinawa Hotel Miyahira An interim report on UTH CAD Challenge 2014 -- Preliminary study for training and temporal evaluation of CAD software in clinical environment --
Yukihiro Nomura (Univ. of Tokyo), Yoshitaka Masutani (Hiroshima City Univ.), Shunsuke Kudo, Takahiro Uehara, Ryoji Hirano, Toshiya Nakaguchi (Chiba Univ.), Shouhei Hanaoka, Mitsutaka Nemoto, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2014-117
Computer-assisted detection/diagnosis (CAD) software has been developed by many research groups, and commercial CAD soft... [more] MI2014-117
pp.317-320
MI 2013-09-13
09:50
Chiba   Pilot study of anatomical landmark detection adapted to change of body posture
Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2013-37
 [more] MI2013-37
pp.5-10
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
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 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
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
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
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
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