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J-GLOBAL ID：200901079969983927   Update date: Feb. 10, 2025

Iwahori Yuji

イワホリ ユウジ | Iwahori Yuji
Clips
Homepage URL  (1)： http://www.cvl.cs.chubu.ac.jp/index-j.html
Research field  (3)： Perceptual information processing ,  Perceptual information processing ,  Intelligent informatics
Research keywords  (5)： Computer Vision ,  Image and Pattern Recognition ,  Machine Learning ,  Neural Network and Deep Learning ,  Media Information Processing
Research theme for competitive and other funds  (13)：
  • 2020 - 2023 Development of Detection and Classification System for Supporting Medical Diagnosis of Endoscope Image, Cell Image and CT images
  • 2017 - 2021 Smart Transport Strategy for Thailand 4.0: Realizing better quality of life and low-carbon society
  • 2017 - 2020 Development of Medical Diagnosis Supporting System for Endoscope Image and Cell Image
  • 2015 - 2018 Touch Communication Robot Modeling Hearing Dog
  • 2014 - 2017 utomatic Polyp Recognition and Shape and Size Recovery for Medical Endoscopy Diagnosis
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Papers (370)：
  • Aili Wang, Guilong Lei, Shiyu Dai, Haibin Wu, Yuji Iwahori. Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2025
  • Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu. Automatic MRI Lymph Node Annotation From CT Labels. IEEE Access. 2025
  • Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu. Cross-Modality Medical Image Registration with Local-Global Spatial Correlation. 2025
  • Pawinee Iamtrakul, Sararad Chayphong, Pittipol Kantavat, Kazuki Nakamura, Yoshitsugu Hayashi, Boonserm Kijsirikul, Yuji Iwahori. Assessing Subjective and Objective Road Environment Perception in the Bangkok Metropolitan Region, Thailand: A Deep Learning Approach Utilizing Street Images. Sustainability (Switzerland). 2024. 16. 4
  • Al-Akhir Nayan, Boonserm Kijsirikul, Yuji Iwahori. Navigating Malignancy: Deep Learning for Mediastinal Lymph Node Classification. IEEE Access. 2024
ｍore...
MISC (159)：
  • 加藤俊輔, 宇佐美裕康, 岡崎明彦, 岩堀祐之, 小笠原尚高, 春日井邦夫. 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(Web). 2022. 121. 358(EST2021 56-93)
  • Yonghuai Liu, Yuji Iwahori. Preface. ACM International Conference Proceeding Series. 2021. V
  • 岩堀祐之, 宇佐美裕康, 井上智司, 海老正秀, 小笠原尚高, 春日井邦夫. Classification of Endoscope Image using Deep Learning and Shape Recovery of Polyp Based on Blood Vessel. 中部大学総合工学研究所総合工学(Web). 2020. 32
  • 宮崎將太, 岩堀祐之, KIJSIRIKUL Boonserm, 小笠原尚高, 春日井邦夫. U-Net-based LST Type Polyp Detection using Depth Map. 電子情報通信学会大会講演論文集(CD-ROM). 2020. 2020
  • 朝日一憲, 岩堀祐之, 宇佐美裕康, 小笠原尚高, 春日井邦夫. Classification of Polyp Existence using Middle Layer in Style Conversion Network. 電気・電子・情報関係学会東海支部連合大会講演論文集(CD-ROM). 2020. 2020
ｍore...
Books (12)：
  • Novel Development of 3D Image Sensing
    NTS Inc. 2015 ISBN:4860434285
  • 3D Object Recognition and Its Application
    Triceps 2013 ISBN:9784886577474
  • C Programming for Information Technology
    Shoko-do 2005 ISBN:4785631546
  • Introduction to Linux Computer Literacy
    Baifukan 2005 ISBN:4563015555
  • Algorithm and Program in C
    Shoko-do 1998 ISBN:4785631090
ｍore...
Lectures and oral presentations  (18)：
  • Invited Talk: 3D Shape Recovery and Pattern Classification using Neural Network Learning and Image Modification
    (Invited Talk at Harbin University of Science and Technology 2019)
  • Keynote Speech: Application of Computer Vision to Endoscope Image and SEM Images Using Neural Network Learning
    (Smart Robotics Congress 2018 2018)
  • Guest Lecture: Neural Network Based Rendering for Computer Graphics
    (Ohio University IEW (International Education Week) 2017)
  • Public Lecture: Endoscope Image Analysis using Neural Network Learning- Computer Vision Approach -
    (Ohio University IEW (International Education Week) 2017)
  • Keynote Speech: 3D Shape Recovery and Pattern Classification Using Neural Network Learning
    (KES 2017 2017)
ｍore...
Education (2)：
  • 1985 - 1988 Tokyo Institute of Technology Graduate School of Science and Engineering (Ph.D.) Electrical and Electronics Engineering
  • 1983 - 1985 Tokyo Institute of Technology Graduate School of Science and Engineering (Master) Electrical and Electronics Engineering
Professional career (2)：
  • Doctor of Engineering (Tokyo Institute of Technology)
  • Master of Engineering (Tokyo Institute of Technology)
Work history (14)：
  • 2023/09 - 現在 Engineering Academy of Japan
  • 2020/10 - 現在 Honorary Faculty of Indian Institute of Technology Guwahati Department of Electronics and Electrical Engineering
  • 2020/09 - 現在 Research Collaborator of USTHB
  • 2004/04 - 現在 Chubu University Department of Computer Science, College of Engineering
  • 2019/04 - 2020/03 Chubu University Vice Dean of College of Engineering
Show all
Committee career (56)：
  • 2021 - 現在 IWACCE Conference Co-Chair
  • 2019 - 現在 ICIPRoB Program Committee Member
  • 2019 - 現在 VSIP Conference General Chair
  • 2018 - 現在 PATTERN RECOGNITION (Journal) Reviewer
  • 2018 - 現在 ATAIT Program Committee Member
Show all
Awards (10)：
  • 2023/07 - MVA (International Conference on Machine Vision Applications) MVA 2023 Most Influential Paper Over the Decade Award Automatic Polyp Detection in Endoscope Images Using a Hessian Filter
  • 2019/12 - STUD 2019 Best Student Presentation Award "The Concept of Quality of Life in Daily Travelling and Its Optimisation by MaaS"
  • 2019/12 - STUD 2019 Best Young Researcher Paper Award "Transportation Mobility Factor Extraction Using Image Recognition Techniques"
  • 2019/02 - INSTICC BIOIMAGING 2019 Best Poster Award "Polyp Shape Recovery using Vascular Border from Single Colonoscopy Image"
  • 2018/01 - INSTICC BIOIMAGING 2018 Best Poster Award "Dense 3D Reconstruction of Endoscopic Polyp"
Show all
Association Membership(s) (5)：
IEEE ,  THE INSTITUTE OF ELECTRICAL ENGINEERS OF JAPAN ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS ,  Japan Gastroenterological Endoscopy Society
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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