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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 52  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-03
(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
MI 2024-03-04
(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
IE, CS, IPSJ-AVM [detail] 2023-12-12
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
MI, MICT [detail] 2021-11-05
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
MI 2021-08-27
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
MI 2021-03-16
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
MI 2021-03-17
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
(Joint) [detail]
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
(Joint) [detail]
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
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
MI 2020-01-30
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
MBE, NC 2019-10-11
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
MI 2019-01-22
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
MI 2019-01-22
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
MI 2019-01-23
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
MI 2018-09-28
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
MI 2018-07-24
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
IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] 2016-08-08
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
MI 2016-01-20
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)
MI 2015-09-08
Tokyo Univ. of Electro-communications Feature Selection for Diffuse Lung Disease using MCMC Method
Makoto Koiwai (UEC), Maki Isogai (Info Techno Asahi), Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MI2015-52
(To be available after the conference date) [more] MI2015-52
 Results 1 - 20 of 52  /  [Next]  
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