Faculty - IWAHORI Yuji |

（Last updated : 2024-04-05 18:51:35）

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IWAHORI Yuji

Department / Course College of Engineering Department of Computer Science

Graduate School of Engineering Department of Computer Science

Job Professor

Academic background
1985/04/01～1988/03/26	Doctorial Electrical and Electronics Engineering Graduate School, Division of Science and Engineering Tokyo Institute of Technology FinishedDr. of Engineering

Official position and committee in Univ.
2007/04/01 ～ 2009/03/31	Chubu University
2009/04/01 ～ 2011/03/31	Chubu University
2011/04/01 ～ 2014/03/31	Chubu University
2015/04/01 ～ 2018/03/31	Chubu University
2019/04/01 ～ 2020/03/31	Chubu University

Belonging society
～	Information Processing Society of Japan (IPSJ)
2008 ～ 2010	∟ Committee Member of IPSJ Tokai-Section
～	The Institute of Electronics, Information and Communication Engineers (IEEE)
～	The Institute of Electronics, Information and Communication Engineers (IEICE)
2012 ～ 2014	∟ Committee Member of IEICE Tokai Section
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Present specialized field
Computer Vision, Image and Pattern Recognition, Medical Image Analysis, Mixed Reality

Research, Studies
3-D Shape Recovery
AI based Image Generation
Deep Learning, Neural Network
Medical Image Recognition
Pattern Classification

Curriculum Specialized
Computer Vision (Graduate School), Computer Graphics, C Programming, Introduction to Information Skill
Computer Vision, Computer Graphics, Computer Science Experiments II, Applied C Programming Language, IT Engineer Exercises, Startup Seminar

Book and thesis
Books	Novel Development of 3D Image Sensing NTS Inc. (Co-authored) 2015/05/01
Books	C Programming for Information Technology Shoko-do (Co-authored) 2005/10
Books	Introduction to Linux Computer Literacy Baifukan (Co-authored) 2005/04
Books	Algorithm and Program in C Shoko-do (Co-authored) 1998/04
Books	Introduction to Unix & Network Literacy Baifukan (Co-authored) 1997/11
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Academic conference presentation
2021	Recovering Shape from Endoscope Image Using Eikonal Equation (Proceedings of PATTERNS 2021, pp.1-2)
2020	Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis, 4 pages (IIAI AAI 2020)
2020	Detection of Cell Nuclei using LadderNet, 4 pages (IIAI AAI 2020)
2020	Detection of Lymph Nodes using CNN from Contrast-Enhanced CT Images, 4 pages (IIAI AAI 2020)
2020	Improved Endoscopic Polyp Classification using GAN Generated Synthetic Data Augmentation (IEEE Conference on Applied Signal Processing , ASPCON 2020, pp.247-251)
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Research topic, funded research, and department laboratory expense
2020/04 ～ 2024/03	Development of Detection and Classification System for Supporting Medical Diagnosis of Endoscope Image, Cell Image and CT images JSPS Grants-in-Aid for Scientific Research (C)
2017/04 ～ 2020/03	Development of Medical Diagnosis Supporting System for Endoscope Image and Cell Image
2015/04 ～ 2018/03	Non-contact Communication Robot Based on Model of Hearing Assistance Dog JSPS Grants-in-Aid for Scientific Research (B)
2014/04 ～ 2017/03	Automatic Polyp Recognition and Shape and Size Recovery for Medical Endoscopy Diagnosis JSPS Grants-in-Aid for Scientific Research (C)
2011/04 ～ 2014/03	Shape Recovery and Polyp Recognition from Endoscope Image for Supporting Medical Diagnosis JSPS Grants-in-Aid for Scientific Research (C)
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Winning science prize
2019/02/22	BIOIMAGING 2019, Portugal BIOIMAGING 2019 Best Poster Award ("Polyp Shape Recovery Using Vascular Border from Single Colonoscopy Image")
2018/01/21	BIOIMAGING 2018, Portugal BIOIMAGING 2018 Best Poster Award ("Dense 3D Reconstruction of Endoscopic Polyp")
2017/11/15	Ohio University Tanaka-Ohio Award for Excellence in Global Engagement
2013/09	KES2013 KES 2013 Best Paper Award (Shape from Endoscope Image based on Photometric and Geometric Constraints, Procedia Computer Science, Elsevier, Vol.22, pp.1285-1293, KES2013)
2008/09	KES2008 KES 2008 Best Paper Award (Efficient Tracking wit AdaBoost and Particle Filter under Complicated Background, Lecture Notes Computer Science (LNCS), Volume 5178/2008 KES2008, pp.887-894, KES2008)
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Qualification and license
	Honorary Faculty of Indian Institute of Technology Guwahati

Activity in society
	Reviewer of IEEE Trans. on Neural Network and Learning
	Reviewer of Multimedia Tools and Applications, Springer
2020	VSIP 2020 Steering Committee Member
2019	Chair of Executive Committee of WiNF 2019.
2018/09	Application of Computer Vision to Endscope and SEM Images Using Neural Network Learning, Keynote Speaker, Smart Robotics Congress 2018, Singapore
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Home Page
https://www.cvl.cs.chubu.ac.jp/
https://www.cvl.cs.chubu.ac.jp/index-j.html

Department laboratory expense researcher number
60203402

researchmap Researcher code
1000025219

External Researcher ID
ORCID ID
0000-0002-6421-8186
Researcher ID

Profile
Yuji Iwahori received B.S. degree from Dept. of Computer Science, Nagoya Institute of Technology, M.S. degree and Ph.D. degree from the Dept. of Electrical and Electronics, Tokyo Institute of Technology in1985 and 1988, respectively. He joined Educational Centre for Information Processing, Nagoya Institute of Technology as a research associate in 1988 and he became a professor of Centre for Information and Media Studies, Nagoya Institute of Technology in 2002. He has joined Chubu University as a professor since 2004 and he acted Dept. Head of Computer Science, head of Graduate Course of Computer Science, Vice-Dean of College of Engineering of Chubu University, Japan. In the meanwhile, he has been a visiting researcher of UBC Computer Science, Canada since 1991. He has also been a research collaborator with IIT Guwahati since 2010 and that with Dept. of Computer Engineering, Chulalongkorn University since 2014. He has become an honorary professor at IIT Guwahati as a foreign professor. His research interests include Computer Vision, Image Recognition, Neural Network and Application of Artificial Intelligence. He got KES 2008 Best Paper Award and KES 2013 Best Paper Award from KES International. His recent research topics include computer vision and machine learning, especially shape from shading, photometric stereo, medical imaging for endoscope, motion tracking with moving object detection, pattern classification and neural network etc. He is also program committee member of international conferences, KES, KES IDT, IEEE/ACIS ICIS, ICPRAM, NCTA, IEEE BIBE, IEEE SITIS, HI-BI-BI, PATTERNS, SIGNAL, ACIVS etc with reviewers of some kinds of journal papers. He has been a research collaborator of UBC (University of British Colombia), IIT Guwahati (Indian Institute of Technology Guwahati), Chulalongkorn University, HRBUST (Harbin University of Science and Technology), Aichi Medical University, Aichi Cancer Center, and Nagoya Institute of Technology.