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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2025-03-20 10:27 |
Kagawa | Kagawa International Conference Hall (Kagawa, Online) (Primary: On-site, Secondary: Online) |
Predicting patients with coronary artery stenosis using deep learning in non-contrast cardiac CT Tetsuya Asakawa (TUT), Kazuki Shimizu, Masashi Hashimoto, Kenji Miyaji, Kei Nomura (THC), Masaki Aono (TUT) |
[more] | |
| PRMU, IPSJ-CVIM, VRSJ-SIG-MR, MVE | 2025-01-21 13:20 |
Fukuoka | (Fukuoka, Online) (Primary: On-site, Secondary: Online) |
Stenosis Severity Prediction of Coronary Arteries with Non-contrast and MPR Images Masaki Aono, Tetsuya Asakawa (TUT), Kazuki Shimizu, Masashi Hashimoto, Takeshi Miyaji, Kei Nomura (TH)  PRMU2024-35 |
[more] | PRMU2024-35 pp.12-17 |
| PRMU, IPSJ-CVIM, IPSJ-CGVI, IPSJ-DCC | 2024-11-29 15:10 |
Fukui | (Fukui, Online) (Primary: On-site, Secondary: Online) |
Determination of cardiac stenosis patients by CNN using 3D non-contrast cardiac CT data Tetsuya Asakawa (TUT), Masashi Hashimoto, Takeshi Miyaji, Kei Nomura, , Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2024-17 |
In cardiac CT imaging diagnosis, coronary angiography using contrast agents is performed. However, in actual medical pra... [more] | PRMU2024-17 pp.50-54 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:24 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Hiroshima, Online) (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) (Kanagawa) | 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 | (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 (Okinawa, Online) (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 (Okinawa, Online) (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 (Tokyo, Online) (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 | (Hokkaido, Online) (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 (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 |
| PRMU, IPSJ-CVIM | 2022-03-11 16:10 |
Online | Online (Online) | Spatial attention and parallel convolution for Real-time segmentation Yuki Sugimoto, Masaki Aono (TUT) PRMU2021-86 |
Semantic segmentation is an image recognition technique that classifies all objects and backgrounds by pixel in images. ... [more] | PRMU2021-86 pp.163-168 |
| MI | 2021-07-09 14:00 |
Online | 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 (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, IPSJ-CVIM | 2021-03-04 09:30 |
Online | Online (Online) | Automatic 3D Mesh Generation by Using Extended Attentive Normalization Yuta Fukatsu, Masaki Aono (TUT) PRMU2020-69 |
In recent years, research on conditional image generation using GANs of the type where conditions are given by class lab... [more] | PRMU2020-69 pp.1-6 |
| PRMU, IPSJ-CVIM | 2021-03-04 10:00 |
Online | Online (Online) | Saliency Detection by Extended Attention and its Application to Image Synthesis Ryosuke Yamauchi, Masaki Aono (TUT) PRMU2020-71 |
In recent years, there has been much research on Style Transfer and Saliency Detection. Style Transfer is a task to sy... [more] |
PRMU2020-71 pp.13-18 |
| PRMU, IPSJ-CVIM | 2021-03-04 14:25 |
Online | Online (Online) | Leveraging Human Pose Estimation Model for Sports Video Classification Soichiro Sato, Masaki Aono (TUT) PRMU2020-76 |
In this paper, we propose a motion classification method of sports videos based on a posture estimation model.Specifical... [more] | PRMU2020-76 pp.41-46 |
| PRMU, IPSJ-CVIM | 2021-03-04 16:20 |
Online | Online (Online) | VQA for Medical Image Data based on Image Feature Extraction and Fusion Hideo Umada, Masaki Aono (TUT) PRMU2020-81 |
In recent years, there has been a remarkable growth in research on deep learning in the fields of computer vision and na... [more] | PRMU2020-81 pp.71-76 |
| PRMU, IPSJ-CVIM | 2021-03-05 14:25 |
Online | Online (Online) | Semantic Segmentation based on MobileNet Extended with FPN Yuki Sugimoto, Masaki Aono (TUT) PRMU2020-91 |
Semantic Segmentation is attracting attention in autonomous driving, but high-precision models require a huge amount of ... [more] | PRMU2020-91 pp.127-132 |
| PRMU | 2019-10-18 16:00 |
Tokyo | (Tokyo) | Partial Shape Similarity Search using Topology of 3D CAD Models Wataru Iwabuchi, Masaki Aono (TUT) PRMU2019-40 |
In recent years, 3D models are used in various fields. Accordingly, the amount of 3D shape models available on the Inter... [more] | PRMU2019-40 pp.47-52 |
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