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J-GLOBAL ID:201401028943378894   Update date: Jun. 16, 2021

Usami Hiroyasu

ウサミ ヒロヤス | Usami Hiroyasu
Affiliation and department:
Job title: Assistant Professor
Other affiliations (2):
Homepage URL  (1): https://www.cvl.cs.chubu.ac.jp/~usami/
Research field  (5): Learning support systems ,  Statistical science ,  Intelligent informatics ,  Biological, health, and medical informatics ,  Perceptual information processing
Research keywords  (5): e-Learning ,  Pattern Recognition ,  Machine Learning ,  Medical Image Processing ,  Computer Vision
Research theme for competitive and other funds  (1):
  • 2019 - 2021 Polyp 3D Shape Information Acquisition from Endoscopic Images for Computer-Aided Diagnosis
Papers (20):
  • Hiroyasu Usami, Yuji Iwahori, Masahide Ebi, Satoshi Inoue, Naotaka Ogasawara, Kunio Kasugai, Yoshinori Adachi. Colorectal Polyp Classification Based On Latent Sharing Features Domain from Multiple Endoscopy Images. Procedia Computer Science. 2020. 176. 2507-2514
  • Shun Emoto, Yuji Iwahori, Kenji Funahashi, Hiroyasu Usami, Naotaka Ogasawara, Kunio Kasugai. Graph Matching Approach between Endoscope Images for Non-Rigid Motion using Blood Vessel Structure. Procedia Computer Science. 2020. 176. 1754-1762
  • Hiroyasu Usami, Yuji Iwahori, Aili Wang, M. K. Bhuyan, Naotaka Ogasawara, Kunio Kasugai. Polyp Shape Recovery from Single Endoscope Image Using Medical Suture. The Open Bioinformatics Journal. 2019. 12. 1-17
  • Hiroyasu Usami, Yuji Iwahori, M. K. Bhuyan, Aili Wang, Naotaka Ogasawara, Kunio Kasugai. Polyp Shape Recovery Using Vascular Border from Single Colonoscopy Image. BIOIMAGING 2019. 2019
  • Yuji Iwahori, Avish Kabra, Hiroyasu Usami, M. K. Bhuyan, Naotaka Ogasawara, Kunio Kasugai. Polyp Classification and Clustering from Endoscopic Images Using Competitive and Convolutional Neural Networks. ICPRAM 2019. 2019
more...
MISC (44):
  • Mannaert, Herwig, Christian Kohls, Yuji Iwahori, Hiroyasu Usami, Peter De Bruyn. PATTERNS 2018: the Tenth International Conferences on Pervasive Patterns and Applications, February 18-22, 2018, Barcelona, Spain. Bulletin of Patterns2018. 2018
  • Yuji Iwahori, Hiroyasu Usami, Tsubasa Ooto, Masataka Murata, Naotaka Ogasawara, Kunio Kasugai. Classification and Size/Shape Recovery of Endoscope Images for Medical Diagnosis Support. Bulletins of Institute of Science and Technology Research, Chubu University. 2018
  • Hiroyasu Usami, Yuji Iwahori, Satoshi Inoue, Naotaka Ogasawara, Kunio Kasugai. Polyp Size and Shape Recovery from Single Endoscope Image Using Boundary Between Vessel and Intestinal Wall. WiNF2018. 2018. C5
  • Masataka Murata, Yuji Iwahori, Hiroyasu Usami, Naotaka Ogasawara, Kunio Kasugai. Polyp Classification Using CNN Features from Three Kinds of Endoscope Images. IEICE Technical Report. 2018. 118. 150. 25-32
  • Tsubasa Ooto, Hiroyasu Usami, Yuji Iwahori, Naotaka Ogasawara, Kunio Kasugai. Proposal of Endoscope Diagnosis Support System Using Object Detection Method and Image Conversion. WiNF2018. 2018. P135
more...
Professional career (1):
  • 博士(工学) (中部大学大学院)
Committee career (2):
  • 2020/03 - 現在 International Conference on Medical Image Computing & Computer Assisted Intervention Reviewer
  • 2016 - 現在 IARIA Patterns Technical Program Committee
Awards (6):
  • 2019 - BIOIMAGING 2019 Best Poster Award Polyp Shape Recovery Using Vascular Border from Single Colonoscopy Image
  • 2018 - 電気学会 電気学会B賞 U-Netによる内視鏡NBIからの血管検出手法
  • 2018 - 中部大学 学長賞 第8回中部大学ESD研究・活動発表 "KAKEHASHI for ESD"
  • 2017 - PATTERNS 2017 Best Paper Award Defect Detection and Classification of Electronic Circuit Boards Using CNN Features and Keypoint Extraction
  • 2016 - WiNF 優秀論文賞 Watershed法を用いた内視鏡画像からのポリープ領域の自動検出
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Association Membership(s) (4):
JAPAN GASTROENTEROLOGICAL ENDOSCOPY SOCIETY ,  IEEE ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
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