Rchr
J-GLOBAL ID：200901060454234066   Update date: Jul. 29, 2024

Koide Tetsushi

コイデ テツシ | Koide Tetsushi
Affiliation and department：
Hiroshima University

About Hiroshima University


Job title： 准教授
Homepage URL  (2)： https://seeds.office.hiroshima-u.ac.jp/profile/ja.3b0f364e58607230520e17560c007669.html ,  https://seeds.office.hiroshima-u.ac.jp/profile/en.3b0f364e58607230520e17560c007669.html
Research field  (1)： Electronic devices and equipment
Research keywords  (9)： Learning|Motion Estimation ,  CAD|Multi-Port Memory ,  LSI|Associative Memory ,  Vector Quantaization|Image Segmentation ,  Digital and Analog Circuits|VLSI ,  Registor File|Image Segmentation ,  LSI|Image Compression ,  Real Time Processing|LSI ,  Design Automation|Cache
Research theme for competitive and other funds  (31)：
  • 2022 - 2025 Development of a new test method for atopic dermatitis based on skin microstructure
  • 2020 - 2023 Development of a Real-Time Computer-Aided Diagnosis System Based on Objective Indicators for Gastrointestinal Endoscopic Image Analysis
  • 2015 - 2021 頑健計器(3D計)の開発・検証
  • 2015 - 2021 頑健計器(3D計)の開発・検証
  • 2021 - アレルギー性皮膚疾患の病態における発汗異常の解明と治療法の開発
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Papers (655)：
  • T. Koide. Perturbative expansion of irreversible works in symmetric and asymmetricprocesses. 2022
  • T. Koide. Viscous control of minimum uncertainty state in hydrodynamics. 2022
  • Okamoto, Yuki, Yoshida, Shigeto, Izakura, Seiji, Katayama, Daisuke, Michida, Ryuichi, Koide, Tetsushi, Tamaki, Toru, Kamigaichi, Yuki, Tamari, Hirosato, Shimohara, Yasutsugu, et al. Development of multi-class computer-aided diagnostic systems using the NICE/JNET classifications for colorectal lesions. Journal of Gastroenterology and Hepatology (Australia). 2022. 37. 1. 104-110
  • Okamoto, Yuki, Yoshida, Shigeto, Izakura, Seiji, Katayama, Daisuke, Michida, Ryuichi, Koide, Tetsushi, Tamaki, Toru, Kamigaichi, Yuki, Tamari, Hirosato, Shimohara, Yasutsugu, et al. Development of multi-class computer-aided diagnostic systems using the NICE/JNET classifications for colorectal lesions. JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY. 2022. 37. 1. 104-110
  • Odagawa, Masayuki, Koide, Tetsushi, Tamaki, Toru, Yoshida, Shigeto, Mieno, Hiroshi, Tanaka, Shinji. Feasibility Study for Computer-Aided Diagnosis System with Navigation Function of Clear Region for Real-Time Endoscopic Video Image on Customizable Embedded DSP Cores. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES. 2022. E105A. 1. 58-62
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MISC (75)：
  • 小田川真之, 辻雅之, 岡本拓巳, 片山大輔, 呉泳飛, 小出哲士, 玉木徹, 吉田成人, 岡本由貴, 岡志郎, et al. Image Processing System with Software and Hardware Co-Design for Bio-Medical Application. 生体医歯工学共同研究拠点成果報告書. 2022. 2021
  • 呉泳飛, 片山大輔, 道田竜一, 小出哲士, 玉木徹, 吉田成人, 岡本由貴, 岡志郎, 田中信治. 大腸NBI内視鏡におけるコンピュータ支援診断のためのFully Convolutional Networkを用いた病変部位のセグメンテーション法. 画像センシングシンポジウム講演資料集(Web). 2022. 28th
  • 片山大輔, 呉泳飛, 道田竜一, 小出哲士, 玉木徹, 吉田成人, 岡本由貴, 岡志郎, 田中信治. 深層学習を用いたNICE/JNET分類に基づく大腸内視鏡画像診断支援の一手法. 画像センシングシンポジウム講演資料集(Web). 2022. 28th
  • 森元晋, 岡本由貴, 吉田成人, 片山大輔, 呉泳飛, 小出哲士, 玉木徹, 竹原悠大, 谷野文昭, 山本紀子, et al. 自動セグメンテーションモデルとJNET分類の自動診断モデルを併用した大腸内視鏡AI診断支援システムの開発. 大腸癌研究会プログラム・抄録集. 2022. 97th
  • 片山大輔, 道田竜一, 井櫻星二, 呉泳飛, 小出哲士, 玉木徹, 吉田成人, 三重野寛, 岡本由貴, 田中信治. 深層学習を用いたNICE分類に基づく大腸内視鏡画像診断支援の一手法. 画像センシングシンポジウム講演資料集(Web). 2021. 27th
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Patents (32)：
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Books (4)：
  • Biomedical Engineering, Chapter 16, A Hierarchical Type Segmentation Hardware for Colorectal Endoscopic Images with Narrow Band Imaging Magnification
    Jenny Stanford Publishing Pte Ltd. 2021 ISBN:9789814877633
  • ディープサブミクロン高集積高性能VLSIレイアウト自動設計システムの開発
    [小出哲士] 2002
  • 半導体大辞典
    工業調査会 1999
  • 電子情報通信学会学会誌
    電子情報通信学会 1998
Lectures and oral presentations  (21)：
  • “学習機能を有するリアルタイム対象物認識プラットフォーム
    (YMFGゾーンプランニング「広域技術マッチングフェア」 2017)
  • 機械学習と転移学習の機能を有するリアルタイム画像認識システムの開発~内視鏡診断支援システムへの応用~
    (第8回産業用ロボット活用高度化研究会 2016)
  • Prototype Speed Limit Sign Recognition System Implementation on Rapid Prototyping Platform
    (The 20th Workshop on Synthesis And System Integration of Mixed Information technologies 2016)
  • An FPGA Implementation of SVM for Type Identification with Colorectal Endoscopic Images
    (the 20th Workshop on Synthesis And System Integration of Mixed Information technologies 2016)
  • 大腸・胃がんの内視鏡診断をサポートする学習機能を有する診断支援システムの基盤技術開発
    (次世代医療システム産業化フォーラム2016 2016)
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Education (3)：
  • 1990 - 1992 Hiroshima University Graduate School, Division of Engineering System Engineering
  • 1990 - 1992 Hiroshima University Graduate School, Division of Engineering System Engineering
  • 1986 - 1990 Hiroshima University Faculty of Engineering
Work history (10)：
  • 2004/04/01 - Hiroshima University Department of Semiconductor Electronics and Integration Sciences Associate Professor
  • 2004/04/01 - Hiroshima University Department of Semiconductor Electronics and Integration Sciences Associate Professor
  • 2001/05/01 - The University of Tokyo VLSI Design and Education Center (VDEC) Visiting Researcher
  • 2001/04/01 - Hiroshima University Research Center for Nanodevices and Systems Associate Professor
  • 2000/04/01 - 2001/03/31 Hiroshima University Faculty of Engineering Visiting Associate Professor
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Committee career (30)：
  • 2020/09 - 2021/03 広島都市学園大学 非常勤講師
  • 2020/04 - 2021/03 東京大学大学院工学系研究科附属システムデザイン研究センター 客員研究員
  • 2019/05 - 2021/03 一般社団法人地域QOL研究所 顧問
  • 2019/04 - 2021/03 (社)電子情報通信学会 リコンフィギャラブルシステム研究専門委員会専門委員
  • 2019/04 - 2021/03 東京大学大規模集積システム設計教育研究センター 協力研究員
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Awards (32)：
  • 2022/07/06 - President of IEIE The 36thInternational Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2021), Best Paper Award Automatic Detection of Skin Surface Structure Using Deep Learning for the Impression Mold Technique
  • 2018/11/10 - Young Researchers Poster Award A Hardware Accelerator for Bag-of-Features based Visual Word Transformation in Computer Aided Diagnosis for Colorectal Endoscopic Images
  • 2018/11/10 - General Chair, The 2nd International Symposium on Biomedical Engineering Young Researchers Poster Award A Hardware Accelerator for Bag-of-Features based Visual Word Transformation in Computer Aided Diagnosis for Colorectal Endoscopic Images
  • 2017/12/13 - The 19th IEEE Hiroshima Branch Student Symposium (HISS) Excellence Research Award Identification method using CNN features and SVM classification for colonoscopic image real time diagnosis support system
  • 2017/12/13 - IEEE Hiroshima Chapter The 19th IEEE Hiroshima Branch Student Symposium (HISS) Excellence Research Award Identification method using CNN features and SVM classification for colonoscopic image real time diagnosis support system
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Association Membership(s) (19)：
Asia and South Pacific Design Automation Conference(ASPDAC'05) ,  IEICE ,  Workshop on Synthesis and System Integration of Mixed Technologies (SASIMI'01) ,  Asia and South Pacific Design Automation Conference(ASPDAC'01) ,  Workshop on Synthesis and System Integration of Mixed Technologies (SASIMI'00) ,  Asia and South Pacific Design Automation Conference(ASPDAC'00) ,  Workshop on Synthesis and System Integration of Mixed Technologies (SASIMI'98) ,  Workshop on Synthesis and System Integration of Mixed Technologies (SASIMI'97) ,  Asia and South Pacific Design Automation Conference(ASPDAC'98) ,  Asia and South Pacific Design Automation Conference(ASPDAC'97) ,  IPSJ ,  ACM ,  IEEE ,  Workshop on Synthesis and System Integration of Mixed Technologies (SASIMI'06) ,  Workshop on Synthesis and System Integration of Mixed Technologies (SASIMI'04) ,  Workshop on Synthesis and System Integration of Mixed Technologies (SASIMI'03) ,  Asia and South Pacific Design Automation Conference(ASPDAC'04) ,  Asia and South Pacific Design Automation Conference(ASPDAC'03) ,  Asia and South Pacific Design Automation Conference(ASPDAC'02)
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