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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SAT, MICT, WBS, RCC (Joint) [detail] |
2024-05-17 13:35 |
Miyazaki | KITEN Convention hall (Miyazaki) (Primary: On-site, Secondary: Online) |
Improving Functions and Data Processing Methods of Finger-Dexterity Measuring System for the Elderly Yuki Kashihara, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) |
(To be available after the conference date) [more] | |
| MI | 2024-03-03 09:05 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Pathology Images of Malignant Lymphoma using Diffusion Models Ryoichi Koga, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT)  MI2023-30 |
Malignant lymphoma has more than 70 subtypes. In the pathological diagnosis, a pathological image is observed to identif... [more] | MI2023-30 pp.1-2 |
| 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 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 16:30 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Assessment of the Utility of Tumor Location Information in MR Image Classification Tsukasa Nishinakagawa, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-43 |
MRI, or magnetic resonance imaging, is a medical imaging technique widely used in various healthcare settings. It utiliz... [more] | IBISML2023-43 pp.21-28 |
| MI | 2024-03-04 13:04 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Extraction of phalanges regions from hand CT images using 3D U-Net Madoka Okada, Takaharu Yamazaki, Yusei Arisawa (SIT), Kazuaki Tanaka (Neomedical), Keizo Fukumoto (Saitama Jikei) MI2023-75 |
Accurate extraction of phalanges regions from hand CT images is important to support accurate image diagnosis, treatment... [more] | MI2023-75 pp.141-144 |
| EST | 2024-01-25 15:40 |
Kyoto | Kyoto University ROHM Plaza (Primary: On-site, Secondary: Online) |
Evaluation of Electric Field For Perception and Pain Thresholds by TMS Ryusei Moriyama, Sachiko Kodera (NITech), Tani Keisyke (Otemon Gakuin Univ), Satoshi Tanaka (Hamamatsu university School of Medicine), Akimasa Hirata (NITech) EST2023-110 |
In recent years, there has been a growing interest in non-invasive stimulation of the brain for medical treatment and di... [more] | EST2023-110 pp.61-66 |
| 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 13:20 |
Fukuoka | Medical image diagnosis support system with image anonymization based on deep learning techniques Katsuto Iwai, Ryuunosuke Kounosu (Toho Univ./AIST), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-30 MI2023-23 |
When medical imaging AI models are hosted on cloud service there is a risk of sensitive medical images being leaked when... [more] | MICT2023-30 MI2023-23 pp.21-24 |
|
| 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 09:18 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba) MI2022-73 |
The diagnosis of cognitive impairment can be performed using functional imaging techniques such as PET and SPECT, which ... [more] | MI2022-73 pp.3-4 |
| MI | 2023-03-06 16:00 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.) MI2022-92 |
Multiphase CT images are commonly used for the diagnosis of renal cancer. In this paper, we propose a machine learning s... [more] | MI2022-92 pp.94-99 |
| MI | 2023-03-06 17:56 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Images towards the Construction of Quantitatively Criteria in Malignant Lymphoma Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (KU), Noriaki Hashimoto, Ichiro Takeuchi (NU), Hidekata Hontani (NIT) MI2022-100 |
In pathological diagnosis of malignant lymphoma, a H&E-staind pathological image is observed to identify the subtype. Ho... [more] | MI2022-100 pp.123-124 |
| US | 2023-02-28 16:35 |
Osaka | Kindai University (Higashi-osaka) | CNN classification of parametric images using moments of ultrasound images for quantitative diagnosis of liver fibrosis Akiho Isshiki (Chiba Univ.), Dar-In Tai (CGMH), Po-Hsiang Tsui (Chang Gung Univ.), Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.) US2022-82 |
The progression of diffuse liver disease and the therapeutic effect can be evaluated by the estimation of liver fibrosis... [more] | US2022-82 pp.34-39 |
| MICT, MI | 2022-11-18 13:00 |
Aichi | Nagoya Institute of Technology | [Invited Talk]
Transition of medical image processing research towards Society 5.0 Kunihiro Chihara (Jikei Univ. of Health Care Sci.) MICT2022-37 MI2022-66 |
When the world began to shift to an information society, research into automatic diagnosis using computers began in the ... [more] | MICT2022-37 MI2022-66 pp.18-23 |
| US | 2022-09-20 13:50 |
Online | Online | Basic study of optimal training data creation conditions for computer-aided diagnosis using ultrasound images of breast tumors Makoto Yamakawa (SIT), Miho Kanda, Moe Ohshima (Kyoto Univ.), Takeshi Namita, Tsuyoshi Shiina (SIT) US2022-39 |
The quality of training data is important in the development of computer-aided diagnosis (CAD) that automatically detect... [more] | US2022-39 pp.10-13 |
| MI | 2022-09-15 11:25 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning Zehao Li, Ken'ichi Morooka (Okayama Univ.), Yuho Ebata (Kyushu Univ.), Hirofumi Hasuda (NHOKMC), Shoko Miyauchi, Ota Mitsuhiko (Kyushu Univ.) MI2022-54 |
Esophageal cancer is often asymptomatic at early stage.It progresses rapidly and can invade surrounding tissues.The esop... [more] | MI2022-54 pp.26-27 |
| MI | 2022-09-15 15:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology Yuta Nambu (Future Univ. Hakodate), Tasuku Mariya, Syota Shinkai, Mina Umemoto, Hiroko Asanuma, Yoshihiko Hirohashi, Tsuyoshi Saito, Toshihiko Torigoe (Sapporo Medical Univ.), Ikuma Sato, Yuichi Fujino (Future Univ. Hakodate) MI2022-62 |
To support cervical cell diagnosis, Various classification methods of cervical cell images using machine learning have b... [more] | MI2022-62 pp.53-58 |
| MI | 2022-07-08 14:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Cell type-specific tumor degree estimation in malignant lymphoma pathology images Hiroki Masuda (NITech), Noriaki Hashimoto (RIKEN), Yusuke Takagi (NITech), Hiroyuki Hanada (RIKEN), Hiroaki Miyoshi, Kensaku Sato, Koichi Oshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (Nagoya Univ./RIKEN) MI2022-32 |
In the pathological diagnosis flow of malignant lymphoma, a type of blood cancer, it is important to identify the type o... [more] | MI2022-32 pp.1-6 |
| MI | 2022-07-08 16:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-37 |
Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely ... [more] | MI2022-37 pp.22-23 |
| MI | 2022-07-08 16:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Multi-phase CT Image Segmentation with Single-Phase Annotation Using Adversarial Unsupervised Domain Adaptation Swathi Ananda, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua HAN (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-38 |
Multi-phase computed tomography (CT) images are widely used for the diagnosis of liver disease, since different phase ha... [more] | MI2022-38 pp.24-25 |
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