Faculty - USAMI Hiroyasu |

（Last updated : 2024-04-23 05:42:21）

USAMI Hiroyasu

Department / Course

工学部情報工学科

Job 講師

学歴
～2019/03/23	Graduate School, Division of Information Engineering Chubu University Ph.D.

職歴
2016/04/01 ～	Researcher Aichi Medical University

所属学会
	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

現在の専門分野
e-Learning, Pattern Recognition, Machine Learning, Medical Image Processing, Computer Vision keyword(e-Learning,Pattern Recognition,Machine Learning,Medical Image Processing,Computer Vision)

担当授業科目
Applied C Language
Computer Science Laboratory II
Seminar in Computer Science A
Seminar in Computer Science B
Start-up Seminar

著書・論文歴
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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講師・講演
2023/11/30	The Evolution of Fundamental Technologies in AI: Tracing the Roots from AI to Machine Learningand Then Deep Learning (Pacifico Yokohama)

研究課題・受託研究・科研費
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

受賞学術賞
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)

委員会・協会等
2020/03 ～	International Conference on Medical Image Computing & Computer Assisted Intervention Reviewer
2016 ～	IARIA Patterns Technical Program Committee

科研費研究者番号
10847669

researchmap会員ID
B000242710

外部研究者ID
ORCID ID
0000-0003-4161-4239
Researcher ID
HKM-7475-2023