Faculty - USAMI Hiroyasu |

（Last updated : 2024-04-23 05:42:21）

USAMI Hiroyasu

Department / Course College of Engineering Department of Computer Science

Job Senior Assistant Professor

Academic background
～2019/03/23	Graduate School, Division of Information Engineering Chubu UniversityPh.D.

Business career
2016/04/01 ～	Researcher Aichi Medical University

Belonging society
	IEEE
	THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
	INFORMATION PROCESSING SOCIETY OF JAPAN
	JAPAN GASTROENTEROLOGICAL ENDOSCOPY SOCIETY
	Japan Society for Fuzzy Theory and Intelligent Informatics

Present specialized field
e-Learning, Pattern Recognition, Machine Learning, Medical Image Processing, Computer Vision keyword(e-Learning,Pattern Recognition,Machine Learning,Medical Image Processing,Computer Vision)

Curriculum Specialized
Applied C Language
Computer Science Laboratory II
Seminar in Computer Science A
Seminar in Computer Science B
Start-up Seminar

Book and thesis
Papers	Improvement of Polyp Detection using MUNIT for Image Generation Procedia Computer Science 207,pp.416-427 (Co-authored) 2022
Papers	Blood Vessel Structure Analysis Using Simulation Models for Polyp Shape Recovery from Endoscopic Images 電子情報通信学会技術研究報告 (Co-authored) 2022
Papers	Automatic Generation of Polyp Image using Depth Map for Endoscope Dataset Procedia Computer Science,pp.2355-2364 (Co-authored) 2021
Papers	Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis 9th International Congress on Advanced Applied Informatics(IIAI-AAI),pp.493-498 (Co-authored) 2020
Papers	Colorectal Polyp Classification Based On Latent Sharing Features Domain from Multiple Endoscopy Images Procedia Computer Science 176,pp.2507-2514 (Co-authored) 2020
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Lecturer and lecture
2023/11/30	The Evolution of Fundamental Technologies in AI: Tracing the Roots from AI to Machine Learningand Then Deep Learning (Pacifico Yokohama)

Research topic, funded research, and department laboratory expense
2019/08/30 ～ 2021/03/31	Polyp 3D Shape Information Acquisition from Endoscopic Images for Computer-Aided Diagnosis Grant-in-Aid for Research Activity Start-up

Winning science prize
2019	BIOIMAGING 2019 Best Poster Award (Polyp Shape Recovery Using Vascular Border from Single Colonoscopy Image)
2017	PATTERNS 2017 Best Paper Award (Defect Detection and Classiﬁcation of Electronic Circuit Boards Using CNN Features and Keypoint Extraction)

Committee and society
2020/03 ～	International Conference on Medical Image Computing & Computer Assisted Intervention Reviewer
2016 ～	IARIA Patterns Technical Program Committee

Department laboratory expense researcher number
10847669

researchmap Researcher code
B000242710

External Researcher ID
ORCID ID
0000-0003-4161-4239
Researcher ID
HKM-7475-2023