Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 09:24 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring Tetsuya Asakawa, Hiroki Shinoda (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-59 |
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcifica- ... [more] |
PRMU2023-59 pp.47-52 |
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM |
2024-01-26 15:58 |
Kanagawa |
Keio Univ. (Hiyoshi Campus) |
An attempt to determine stenosis from coronary stretch images using deep learning Tetsuya Asakawa, Hiroki Shinoda, Yuta Fukatsu (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-49 |
Coronary artery stenosis, one of the most common heart diseases, is diagnosed by a human, which is a time-consuming and ... [more] |
PRMU2023-49 pp.50-55 |
MI, MICT |
2023-11-14 14:00 |
Fukuoka |
|
Estimating the degree of coronary artery stenosis from non-contrast CT images using a 3D convolution model
-- Categorical approach -- Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuya Togawa, Kei Nomura (Toyohashi Heart Center), Masaki Aono (TUT) MICT2023-32 MI2023-25 |
In current medical images diagnosis, specialists take pictures of patients and search for the disease from the images. I... [more] |
MICT2023-32 MI2023-25 pp.29-32 |
MI |
2023-03-06 09:57 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-76 |
The purpose of this research, three pathologies (thickening, calcification, and cavitation) were accurately estimated as... [more] |
MI2022-76 pp.14-19 |
MI |
2023-03-06 15:47 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Predicting disease from Chest-X-ray and Heart-CT images using Fine Tuning Yuya Kumagai, Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-91 |
[more] |
MI2022-91 pp.88-93 |
PRMU |
2022-10-21 16:25 |
Tokyo |
Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Heart Detection Method in Non-Contrast Chest CT Image and Application to Calcium Scoring Yuki Sugimoto, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2022-31 |
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcificati... [more] |
PRMU2022-31 pp.50-55 |
MI |
2022-07-09 15:20 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Disease segmentation of 3D diagnostic images
-- Disease detection using CT data -- Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-47 |
Disease detection from medical images reinforce the judgment of doctors and medical engineers, and is expected to play a... [more] |
MI2022-47 pp.56-60 |
PRMU, IPSJ-CVIM |
2022-03-10 10:40 |
Online |
Online |
Medical Image Captioning with Information based on Medical Concepts Riku Tsuneda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2021-64 |
Image Captioning for medical images is expected to augment the judgment of doctors and serve as a second opinion. Medica... [more] |
PRMU2021-64 pp.25-30 |
MI |
2021-07-09 14:00 |
Online |
Online |
Severity determination of chest CT data in tuberculosis patients using deep learning Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2021-19 |
The purpose of this study is to make accurate estimates for five labels (infiltrative, focal, tuberculoma, miliary, and ... [more] |
MI2021-19 pp.42-46 |
MI |
2021-03-16 09:15 |
Online |
Online |
Tuberculosis in Chest CT Image Analysis based on multi-axis projections using Deep learning Tetsuya Asakawa, Masaki Aono (Toyohashi Univ) MI2020-64 |
The purpose of this research is to make accurate estimates for the six labels (Left affected, Right affected, Light ple... [more] |
MI2020-64 pp.74-79 |
PRMU, MI, IE, SIP |
2018-05-17 15:45 |
Gifu |
|
Evaluation of change information process using SVM in the brain under emotional stimuli Tetsuya Asakawa (Nagasaki Univ), Tatsuya Urata (KINWU), Azusa Uematsu (Dokkyo med Univ) SIP2018-4 IE2018-4 PRMU2018-4 MI2018-4 |
The objective was to evaluate the relationship between the brain sites in EEG under the emotional stress in smart phone.... [more] |
SIP2018-4 IE2018-4 PRMU2018-4 MI2018-4 pp.13-16 |
MBE |
2012-10-11 10:45 |
Osaka |
Osaka Electro-Communication University |
The coherence analysis in EEG under emotional stress stimuli in smart phone related to the anxiety states Tetsuya Asakawa (Univ of Hyogo.), Takuto Hayashi (Aino Univ.), Masato Taya, Hiroyuki Yokoyama (KDDI Lab.), Yuko Mizuno-Matsumoto (Univ of Hyogo.) MBE2012-37 |
The objective was to evaluate the relationship between the brain sites in EEG under the emotional stress in smart phone.... [more] |
MBE2012-37 pp.5-10 |