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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2021-03-16 09:00 |
Online | Online | Lung segmentation of thoracic CT volumes by combining slice-wise with pixel-wise classification Takahito Haruishi, Atsushi Saito (TUAT), Masahiro Hashimoto (Keio University), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo University), Akinobu Shimizu (TUAT)  MI2020-63 |
[more] | MI2020-63 pp.72-73 |
| MI | 2021-03-16 13:15 |
Online | Online | [Short Paper]
Feature extraction using AutoEncorder from nodular shadows on chest CT images Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.) MI2020-71 |
Lung cancer mortality in men is 86.7% in 2018. If the benign and malignant lung cancer and the growth rate of nodules ca... [more] | MI2020-71 pp.99-101 |
| MI | 2020-01-29 13:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75 |
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] | MI2019-75 pp.47-52 |
| SIP, MI, IE | 2019-05-24 15:15 |
Aichi | On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ) SIP2019-15 IE2019-15 MI2019-15 |
Based on deep learning technique, the performance of image classification has made great progress. However, their state-... [more] | SIP2019-15 IE2019-15 MI2019-15 pp.65-70 |
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| MI | 2019-01-22 13:20 |
Okinawa | [Short Paper]
Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning Ryoma Aoki, Takeshi Hara (Gifu Univ), Taiki Nozaki, Masaki Matsusako (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ) MI2018-76 |
Accurate grasp of cartilage area is important for diagnosis and treatment related to arthropathy diseases. In recent yea... [more] | MI2018-76 pp.63-64 |
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| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | [Short Paper]
Nami Nishikwa, Takeshi Hara (Gifu Univ.), Nozaki Taiki, Matsusako Masaki (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Fujita Hiroshi (Gifu Univ.) MI2016-84 |
(To be available after the conference date) [more] | MI2016-84 pp.57-58 |
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | MI2016-92 |
This paper presents the improvement of the humerus recognition algorithm on a bone scintigram. Specifically, we report o... [more] | MI2016-92 pp.79-80 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | [Poster Presentation]
Improvement of anatomical structure recognition algorithm from a bone scintigram by multi-atlas method Taro Sunada, Atsushi Saito (TAT), Shohei Hanaoka (TAT/Tokyo Univ.), Shigeaki Higashiyama, Joji Kawabe, Susumu Shiomi (Osaka City Univ.), Akinobu Shimizu (TAT) MI2015-125 |
(To be available after the conference date) [more] | MI2015-125 pp.251-256 |
| MI | 2013-01-25 09:15 |
Okinawa | Bunka Tenbusu Kan | Anatomical landmark-based local deformation method for medical registration Keiko Morita, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Yoshitaka Masutani (Dept. of Radiology, The Univ. of Tokyo Hospital), Hidekata Hontani (Naitech) MI2012-93 |
In this paper, we develop a method for constructing the mean boundary curve of anatomical objects by using anatomical la... [more] | MI2012-93 pp.161-166 |
| 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 11:40 |
Okinawa | Naha-Bunka-Tenbusu | Skull Stripping from Neonatal and Infantile Magnetic Resonance Images Using Two Types of Gaussian Discriminant Yuko Fujimoto (Univ. of Hyogo), Syoji Kobashi (Univ. of Hyogo/Osaka Univ.), Yuki Wakata, Reiichi Ishikura (Hyogo College of Medicine), Kei Kuramoto (Univ. of Hyogo/Osaka Univ.), Seturo Imawaki (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/Osaka Univ.) MI2009-141 |
It is effective to measure cerebral surface and for quantitative diagnosis of neonatal and infantile brain diseases. Thi... [more] | MI2009-141 pp.351-356 |
| PRMU, IE, MI | 2009-05-28 15:45 |
Gifu | Gifu Univ. | Segmentation of Liver in Low-contrast Images Using K-Means Clustering and A Priori Knowledge Amir Hossein Foruzan (Ritsumeikan Univ/Tehran Univ.), Yen-Wei Chen (Ritsumeikan Univ), Reza Aghaeizadeh Zoroofi (Tehran Univ.), Akira Furukawa (Shiga Univ. of Medical Science), Yoshinobu Sato (Osaka Univ.) IE2009-27 PRMU2009-18 MI2009-18 |
[more] | IE2009-27 PRMU2009-18 MI2009-18 pp.95-100 |
| PRMU, IE, MI | 2009-05-29 15:15 |
Gifu | Gifu Univ. | Development of a computer-aided-diagnosis system based on temporal-subtraction tehnique in torso FDG-PET image. Tokifumi Suzuki, Tomoya Asai, Tatsunori Kobayashi, Takeshi Hara, Xiangrong Zhou (Gifu Univ), Satoshi Ito (Daiyukai Hospital), Tetsuro Katafuchi (Gifu Univ of Medical Science), Hiroshi Fujita (Gifu Univ) IE2009-47 PRMU2009-38 MI2009-38 |
The purpose of this study is to develop a technique for the computer-aided diagnosis (CAD) system in torso FDG-PET image... [more] | IE2009-47 PRMU2009-38 MI2009-38 pp.209-212 |
| 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] | |
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