AI Arteriosclerosis Diagnosis System Using RLHF and Adversarial Attack: Quantitative Evaluation of IMT Extraction Robustness by Adversarial Learning
Usami, Hiroyasu
Journal of Comprehensive Engineering, 2026
Vol. 38, pp. 1-11
Department of Computer Science, College of Engineering, Chubu University
Understanding the world from images
We study image processing, computer vision, and machine learning, with applications in medicine, manufacturing, social infrastructure, and real-world sensing.
Our work connects principles and applications: from physics- and mathematics-based image understanding to systems for medical, industrial, and social problems.
Research on lesion detection, segmentation, 3D shape reconstruction, quantitative measurement, and diagnostic support using endoscopy, CT, cellular, and pathological images.
Research on estimating shape, material, reflectance, and illumination from images by modeling reflection, transmission, scattering, and other optical phenomena.
Research on extracting temporal and spatial structure from videos and sensor data for action recognition, forecasting, and anomaly detection.
Research on generative models, learning support, data augmentation, automatic question generation, and validation of generated outputs.
Usami, Hiroyasu
Journal of Comprehensive Engineering, 2026
Vol. 38, pp. 1-11
Tominari, Hiroki, Nakayama, Natsuki, Arakawa, Naoko, Usami, Hiroyasu
Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies -- BIOIMAGING, 2026
BIOIMAGING 2026
Tajima, Koichiro, Usami, Hiroyasu
IEICE Technical Report, 2026
EST2025-95, 2026-01-23
Recent presentations, publications, awards, invited talks, academic service, outreach, and laboratory activities.
2026.06.04
A paper on an AI arteriosclerosis diagnosis system using RLHF and adversarial attack was published in Vol. 38 of Journal of Comprehensive Engineering. The study evaluates the robustness of IMT extraction from carotid ultrasound images under adversarial perturbations, focusing on whether attention remains on physician-relevant structures.
2026.04.01
Hiroyasu Usami became a representative member of the Information Processing Society of Japan for fiscal year 2026. He also serves the IPSJ Tokai Branch as an operating committee member and secretary, and is an IPSJ senior member.
2026.03.07
Hiroyasu Usami served as a judge for informatics research poster presentations by junior and senior high school students, supporting exploratory research and education in informatics.
Faculty, graduate students, and undergraduate students work together across computer vision, machine learning, and applied image analysis.
1
Faculty
25
Current Students
21
Alumni
Companies are listed in Japanese alphabetical order.
Graduate study: Chubu University Graduate School
Students interested in image processing, computer vision, machine learning, and AI are welcome to contact us.
We welcome collaboration with companies and research institutions on image analysis, computer vision, and machine learning.