Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-03 09:29 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automatic generation of PET/CT images by using large multimodal model Yasushi Hirano, Seiya Konomi, Haku Ishida (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) MI2023-32 |
The purpose of this study was to reduce the workload of radiologists by developing a computer-aided diagnosis (CADx) sys... [more] |
MI2023-32 pp.7-10 |
MI |
2021-08-27 15:00 |
Online |
Online |
[Short Paper]
Region extraction and mass estimation of kidneys from Ai-CT Yasushi Hirano, Remi Yamashita (Yamaguchi Univ.), Shoji Kido (Osaka Univ.), Kunihiro Inai (Univ. of Fukui) MI2021-24 |
Autopsy imaging (Ai) is an examination method for investigating the cause of death and estimating the postmortem time. S... [more] |
MI2021-24 pp.10-11 |
MICT, MI |
2020-11-04 15:30 |
Online |
Online |
Finding effective image features for estimating postmortem time for Ai-CT using Deep Learning Jun Matsumoto, Yasushi Hirano (Yamaguchi-u), Tadahiro Inai (Fukui Univ), Sakon Noriki (Fukui Pref. Univ) MICT2020-18 MI2020-44 |
[more] |
MICT2020-18 MI2020-44 pp.54-59 |
MI |
2020-01-29 13:20 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
[Poster Presentation]
Detection of lung nodules on CT images by use of YOLO Xu Chen, Yasushi Hirano (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) MI2019-78 |
The number of deaths caused by lung cancer in Japan is relatively high for both men and women. Chest CT screening has be... [more] |
MI2019-78 pp.61-65 |
MI |
2020-01-30 11:10 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
[Short Paper]
Improvement of super-resolution of a thoracic CT volume by a simultaneous process with anatomical segmentation Katsuki Tozawa, Atsushi Saito (TUAT), Shoji Kido (Osaka University), Yasushi Hirano (Yamaguchi University), Kunihiro Inai, Hirohiko Kimura (University of Fukui), Akinobu Shimizu (TUAT) MI2019-104 |
[more] |
MI2019-104 pp.175-176 |
MI |
2019-01-22 15:35 |
Okinawa |
|
Segmentation of lung nodules on 3D CT images by using DeconvNet and V-Net Shunsuke Kidera, Shoji Kido, Yasushi Hirano (Yamaguchi Univ.), Nobuyuki Tanaka (Saiseikai Hosp) MI2018-85 |
Semantic segmentation of lung nodules is important for texture analysis. However, manual segmentation needs a lot of tim... [more] |
MI2018-85 pp.103-106 |
MI |
2019-01-23 14:00 |
Okinawa |
|
Segmentation for diffuse lung disease opacities on CT images using U-Net and residual U-Net Kanako Murakami, Shoji Kido, Yasushi Hirano, Shingo Mabu (Yamaguchi Univ.), Kenji Kondo (AIST/Panasonic), Jun Ozawa (AIST) MI2018-102 |
Segmentation is important for diagnosis of diffuse lung diseases (DLD) as same as classification. In recent years, a lot... [more] |
MI2018-102 pp.175-179 |
MI |
2018-09-28 15:20 |
Tokyo |
Tokyo Women's Medical University |
Estimation of postmortem time for CT images by using texture analysis Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuyuki Kinoshita, Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2018-35 |
The dissection rate for dead human bodies with suspicious death is about 11% in Japan. This rate is markedly lower than ... [more] |
MI2018-35 pp.11-15 |
MI |
2018-07-24 14:35 |
Iwate |
aiina (Morioka, Iwate) |
Estimation of postmortem time for Ai-CT images by using Deep Learning Shota Chai, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuyuki Kinoshita, Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2018-28 |
Although estimation of postmortem time is important for criminal investigation or sudden in-hospital death in the middle... [more] |
MI2018-28 pp.33-37 |
MI |
2016-01-19 17:30 |
Okinawa |
Bunka Tenbusu Kan |
Report on MICCAI 2015 Shouhei Hanaoka (Tokyo Univ.), Kenichi Karasawa (Nagoya Univ.), Hidekata Hontani (Nagoya Institute of Tech.), Xiangrong Zhou (Gifu Univ.), Yasushi Hirano (Yamaguchi Univ.), Masahiro Oda (Nagoya Univ.), Yoshitaka Masutani (Hiroshima City Univ.), Akinobu Shimizu (Tokyo Univ. of Agriculture and Technology), Kensaku Mori (Nagoya Univ.) MI2015-110 |
[more] |
MI2015-110 pp.177-182 |
MI |
2016-01-20 10:32 |
Okinawa |
Bunka Tenbusu Kan |
A general method to decide pulmonary regions for analysis of diffuse lung diseases in CT images obtained from many hospitals Kyohei Karasawa, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuki Kozuka (Panasonic) |
[more] |
|
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 |
2015-03-02 16:48 |
Okinawa |
Hotel Miyahira |
Decision of Pulmonary Areas of Thoracic CT Images by use of Anatomical Structures and Pulmonary Textures Kyohei Karasawa, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuki Kozuka (Panasonic) MI2014-87 |
In order to analyze diffuse lung diseases in the thoracic CT images by computer-aided diagnosis (CAD) systems, it is nec... [more] |
MI2014-87 pp.157-160 |
MI |
2015-03-03 09:36 |
Okinawa |
Hotel Miyahira |
Generation of CT images at arbitrary time phase using chest 4D-CT images Michiaki Nakagawa, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2014-91 |
Recently,development of Computer-Aided Diagnosis(CAD)technology is remarkable. CAD technologies for respiratory system a... [more] |
MI2014-91 pp.177-182 |
MI |
2014-11-18 16:30 |
Hyogo |
|
Report on MICCAI2014 Takayuki Kitasaka (AIT), Keita Nakagomi, Itaru Otomaru (Canon), Masahiro Oda (Nagoya Univ), Yasushi Hirano (Yamaguchi Univ), Yoshitaka Masutani (Hiroshima City Univ), Hyoungseop Kim (KIT) MI2014-52 |
In this paper, the outline of each session of MICCAI 2014 main conference is introduced. A few interesting reports in th... [more] |
MI2014-52 pp.49-54 |
MI |
2014-01-26 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Segmentation of organ regions by deformation of ante-mortem CT images to post-mortem CT images Ryota Akiyama, Kyohei Mikami, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2013-67 |
Autopsy imaging (Ai) plays a key role to reduce the imposition of doctors
and to improve the reliability of cause of de... [more] |
MI2013-67 pp.65-68 |
MI |
2014-01-26 13:30 |
Okinawa |
Bunka Tenbusu Kan |
A method to generate lung shapes after lung lobectomy by using FEM for preoperative chest CT images Hideki Sorao, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2013-69 |
In treatment for pulmonary tuberculosis or lung cancer, lung lobectomy is typically performed. It is expected that lung ... [more] |
MI2013-69 pp.73-76 |
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 |
2014-01-27 10:20 |
Okinawa |
Bunka Tenbusu Kan |
Analysis of early colorectal tumorous lesions using colon NBI images Hiroshi Toyota (Yamaguchi Univ.), Rui Xu (Ritsumeikan Univ.), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Taku Sakamoto, Yutaka Saito (NCC Hosp.) MI2013-94 |
In the diagnosis of colorectal cancer using an endoscope, the vascular structures of polyps are important. Vascular stru... [more] |
MI2013-94 pp.211-214 |
MI |
2014-01-27 15:45 |
Okinawa |
Bunka Tenbusu Kan |
Similar image search of diffuse lung diseases on 3D CT Images Youhei Yamashita (Yamaguchi Univ.), Rui Xu (Ritsumeikan Univ.), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Tomoko Gyobu, Osamu Honda, Noriyuki Tomiyama (Osaka Univ.) MI2013-125 |
Diffuse lung diseases are widely distributed in the lungs. The radiologist uses the previous image when the diagnosis is... [more] |
MI2013-125 pp.361-364 |