| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-06 17:30 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Novel loss function dedicated for anomaly detection using lesion-embedded artificial dataset
-- Normal/Abnormal Contrastive (NAC) loss -- Shouhei Hanaoka (Tokyo Univ.), Yukihiro Nomura (Chiba Univ.), Hisaichi Shibata, Tomomi Takenaga, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe (Tokyo Univ.)  MI2022-98 |
(To be available after the conference date) [more] | MI2022-98 pp.117-118 |
| RCS, SR, SRW (Joint) |
2020-03-05 10:55 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
A Study on Indoor Location Information Management System Using Multiple LiDARs in Cellular Environment Naoto Hayashida, Seiichi Sampei (Osaka Univ.) RCS2019-354 |
In a smart factory, not only connectivity to the network but also location infomation of connected devices is indispensa... [more] | RCS2019-354 pp.183-188 |
| 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) MI2019-68 |
In a computer-aided detection system, image features are essential factors. In this study, we propose an image feature g... [more] | MI2019-68 pp.15-18 |
| 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 | 2017-09-25 16:00 |
Chiba | Chiba Univ. | MI2017-45 |
(To be available after the conference date) [more] | MI2017-45 pp.23-24 |
| MI | 2017-09-25 16:30 |
Chiba | Chiba Univ. | MI2017-46 |
(To be available after the conference date) [more] | MI2017-46 pp.25-26 |
| 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 | 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 |
[Return to Top Page]