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All Technical Committee Conferences (Searched in: All Years)
| 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 | 2024-03-04 14:12 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Anomaly Detection for Lung CT Images Using VQ-VAE with SVDD Zhihui Gao, Ryohei Nakayama, Aikiyoshi Hizukuri (Ritsumeikan Univ.), Shoji Kido (Oosaka Univ.) MI2023-80 |
In this study, VQ-VAE with SVDD for anomaly detection in CT images was constructed by introducing a support vector data ... [more] | MI2023-80 pp.158-159 |
| IE, CS, IPSJ-AVM [detail] | 2023-12-12 13:05 |
Fukuoka | Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
Automatic Classification of Respiratory Diseases Using Multiple Images Generated from Respiratory Sound Manami Tabata, Huimin Lu, Tohru Kamiya (Kyutech), Shingo Mabu (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) CS2023-90 IE2023-32 |
About 8 million people die annually caused to respiratory diseases in the world. Auscultation with a stethoscope is inex... [more] | CS2023-90 IE2023-32 pp.43-48 |
| MI, MICT [detail] | 2021-11-05 15:30 |
Online | Online | Respiratory Sound Classification Based on Wavelet Scattering Transform and CRNN Naoki Asatani, Huimin Lu, Tohru Kamiya (KIT), Shingo Mabu (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) MICT2021-41 MI2021-39 |
(To be available after the conference date) [more] | MICT2021-41 MI2021-39 pp.62-65 |
| 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 |
| MI | 2021-03-16 15:00 |
Online | Online | Automatic Classification of Respiratory Sounds using HPSS Yuki Marubashi, Tohru Kamiya (KIT), Shingo Mabu (YU), Shoji Kido (OU) MI2020-77 |
In this paper, we propose a new automatic classification method of respiratory sounds to support the diagnosis of respir... [more] | MI2020-77 pp.128-133 |
| MI | 2021-03-17 14:15 |
Online | Online | Super-resolution of thoracic CT volumes using high-frequency learning Ryosuke Kawai, Atsushi Saito (TUAT), Shoji Kido (Osaka Univ), Kunihiro Inai, Hirohiko Kimura (Fukui Univ), Akinobu Shimizu (TUAT) MI2020-97 |
We report the results of super-resolution using a new network model. Specifically, the reconstructed image is represente... [more] | MI2020-97 pp.218-219 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 10:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Automatic Classification of Respiratory Sounds Based on CNN Considering Time Series Information Naoki Asatani, Huimin Lu, Hyoungseop Kim (KIT), Shingo Mabu (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) IMQ2019-15 IE2019-97 MVE2019-36 |
[more] | IMQ2019-15 IE2019-97 MVE2019-36 pp.9-10 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 17:05 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
[Invited Talk]
Image Registration Method for Comparative Reading Hyoungseop Kim, Huimin Lu (KIT), Takatoshi Aoki (UOEH), Shoji Kido (Osaka Univ) IMQ2019-28 CQ2019-134 IE2019-110 MVE2019-49 |
Image registration techniques are used not only medical fields but also in various fields such as positioning problems o... [more] | IMQ2019-28 CQ2019-134 IE2019-110 MVE2019-49 pp.69-72(IMQ), pp.1-4(CQ), pp.69-72(IE), pp.69-72(MVE) |
| 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 |
| MBE, NC | 2019-10-11 15:00 |
Miyagi | Analysis of diffuse lung disease shadows using Bolasso feature selection method Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24 |
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images. Since various patte... [more] |
MBE2019-33 NC2019-24 pp.23-27 |
|
| MI | 2019-01-22 09:50 |
Okinawa | [Short Paper]
Improvement of super-resolution process of a lung micro CT volume by generative adversarial network Katsuki Tozawa, Atsushi Saito (Tokyo University of Agriculture and Technology), Shoji Kido (Yamaguchi Univ.), Kunihiro Inai, Hirohiko Kimura (University of Fukui), Akinobu Shimizu (Tokyo University of Agriculture and Technology) MI2018-60 |
(To be available after the conference date) [more] | MI2018-60 pp.5-6 |
|
| 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 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 13:15 |
Hokkaido | Hokkaido Univ. | ITS2016-53 IE2016-111 |
(To be available after the conference date) [more] | ITS2016-53 IE2016-111 pp.253-255 |
| IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] | 2016-08-08 13:30 |
Fukuoka | Kazuki Hirayama, Joo Kooi Tan, Hyoungseop Kim (KIT), Takatoshi Aoki (UOEH), Shoji Kido (YU) IE2016-47 |
Recently, the development of CAD (Computer Aided Diagnosis) system for the purpose of reducing the burden to the physici... [more] | IE2016-47 pp.17-20 |
|
| 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) |
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