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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, MI, IE, SIP |
2018-05-18 10:15 |
Gifu |
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Electronic Cleansing for CT Colonography using Deep Learning Rie Tachibana (NIT, Oshima College), Janne J. Nappi, Toru Hironaka, Hiroyuki Yoshida (MGH/HMS) SIP2018-8 IE2018-8 PRMU2018-8 MI2018-8 |
Although colonoscopy is considered as a standard procedure for colon cancer screening, CT colonography (CTC) has recentl... [more] |
SIP2018-8 IE2018-8 PRMU2018-8 MI2018-8 pp.35-37 |
MI |
2015-03-02 11:18 |
Okinawa |
Hotel Miyahira |
Setting of Volume-of-Interests of Pattern Classification for Diffuse Lung Diseases using Watershed algorithm on CT images Yumi Takeshita (Yamaguchi Univ.), Rie Tachibana (OCMT), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2014-63 |
We propose a method for the classification of seven kinds of diffuse lung disease patterns with arbitrary region of inte... [more] |
MI2014-63 pp.55-58 |
MI |
2014-01-26 17:25 |
Okinawa |
Bunka Tenbusu Kan |
Report on MICCAI 2013 Yasushi Hirano (Yamaguchi Univ.), Shouhei Hanaoka (Univ. of Tokyo), Takayuki Kitasaka (Aichi Inst. of Tech.), Futoshi Yokota (Osaka Univ.), Rie Tachibana (Oshima National College of Maritime Technology), Atsushi Saito (Tokyo Univ. of Agriculture and Technology), Kensaku Mori (Nagoya Univ.) MI2013-90 |
In this paper, the outline of each session of MICCAI 2013 main conference is introduced. A few interesting reports in th... [more] |
MI2013-90 pp.187-191 |
MI |
2012-10-29 09:15 |
Yamaguchi |
Yamaguchi Univ. |
A Study to Classify Benign and Malignant Musculoskeletal Tumors on PET Images by Textural Features Rui Xu, Yasushi Hirano (Yamaguchi Univ.), Rie Tachibana (Oshima Nat. Col. of Maritime Tech.), Shoji Kido (Yamaguchi Univ.), Kazuyoshi Suga (St. Hill Hospital) MI2012-47 |
18F-FDG PET had been a useful tool to detect and diagnose musculoskeletal tumors in recent years. Since there are a lot ... [more] |
MI2012-47 pp.1-6 |
MI |
2012-10-29 09:45 |
Yamaguchi |
Yamaguchi Univ. |
A Temporal Subtraction Technique for 3-D Non-rigid Warping Method Based on Free Form Deformation from Thoracic MDCT Image Takumi Tokisa, Shinya Maeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa (kyutech), Seiichi Murakami (kyutech/UOEH), Takatoshi Aoki (UOEH), Yasushi Hirano, Shoji Kido (Yamaguchi Univ), Rie Tachibana (OCMT) MI2012-49 |
A temporal subtraction technique that is subtracted from previous image to current one is introduced as powerful tools i... [more] |
MI2012-49 pp.11-16 |
MI |
2012-10-29 10:30 |
Yamaguchi |
Yamaguchi Univ. |
A Computer-aided Diagnosis Method for Classification of Pneumoconiosis Patterns on HRCT Images Wei Zhao, Rui Xu, Yasushi Hirano (Yamaguchi Univ.), Rie Tachibana (Oshima National College of Maritime Technology), Shoji Kido (Yamaguchi Univ.), Narufumi Suganuma (Kochi Univ.) MI2012-52 |
[more] |
MI2012-52 pp.29-34 |
MI |
2012-01-19 11:20 |
Okinawa |
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Development of deformation method of lung region for virtualized lobectomy Yasushi Hirano, Rui Xu (Yamaguchi Univ.), Rie Tachibana (Oshima National College of Maritime Technolog), Shoji Kido (Yamaguchi Univ.) MI2011-89 |
In this paper, the authors propose a new method to generate chest X-ray CT images in which removed lung lobes virtually ... [more] |
MI2011-89 pp.67-70 |
MI |
2012-01-19 11:20 |
Okinawa |
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Automatic segmentation of pulmonary nodules on CT images considering visual characteristics Hideki Tamura, Rie Tachibana (Oshima NCMT), Yasushi Hirano, Rui Xu, Shoji Kido (Yamaguchi Univ.) MI2011-106 |
Radiologists recognize pulmonary nodules on CT images with graphical information from the visual sense. So, in this pape... [more] |
MI2011-106 pp.159-163 |
MI |
2012-01-19 15:25 |
Okinawa |
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Improvement of MDL Method by Adaptive Sampling on Spherical Parameter Space Rui Xu (Yamaguchi Univ.), Xiangrong Zhou (Gifu Univ.), Yasushi Hirano (Yamaguchi Univ.), Rie Tachibana (Oshima National College of Maritime Tech.), Shoji Kido (Yamaguchi Univ.), Hiroshi Fujita (Gifu Univ.) MI2011-109 |
Statistical shape models (SSMs) is a very efficient method for medical image segmentation. An important problem of build... [more] |
MI2011-109 pp.173-178 |
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