Researchers

NEMOTO Mitsutaka

NEMOTO Mitsutaka
Associate Professor
Faculty Department of Biomedical Engineering
Researchmap https://researchmap.jp/nemo_mits

Education and Career

Academic & Professional Experience

  • Apr. 2024 - Today , Kindai University Faculty of Biology-Oriented Science and Technology Department of Biomedical Engineering Associate Professor
  • Apr. 2017 - Mar. 2024 , Kindai University Faculty of biology-oriented science and technology Lecturer
  • Apr. 2014 - Mar. 2017 , The University of Tokyo Hospital 22nd Century Medical and Research Center Project researcher
  • Apr. 2007 - Mar. 2014 , University of Tokyo Hospital Department of Radiology Project researcher

Research Activities

Research Areas

  • Life sciences, Medical systems
  • Informatics, Perceptual information processing

Research Interests

Deep learning, Computer-aided diagnosis, Computational anatomy, Machine learning, Pattern recognition, Medical image analysis, 画像情報処理

Published Papers

  1. AI prediction of extracorporeal shock wave lithotripsy outcomes for ureteral stones by machine learning-based analysis with a variety of stone and patient characteristics
    Yukako Nakamae; Ryusuke Deguchi; Mitsutaka Nemoto; Yuichi Kimura; Shimpei Yamashita; Yasuo Kohjimoto; Isao Hara
    Urolithiasis  52  (1)  2, Dec. 2023 
  2. Improvement of Machine Learning-Based Prediction of Pedicle Screw Stability in Laser Resonance Frequency Analysis via Data Augmentation from Micro-CT Images
    K. Mikami; M. Nemoto; A. Ishinoda; T. Nagura; M. Nakamura; M. Matsumoto; D. Nakashima
    Appl. Sci.  13  (15)  , 9037-, Aug. 2023  , Refereed
  3. Unsupervised Feature Extraction for Various Computer-Aided Diagnosis Using Multiple Convolutional Autoencoders and 2.5-Dimensional Local Image Analysis
    Mitsutaka Nemoto; Kazuyuki Ushifusa; Yuichi Kimura; Takashi Nagaoka; Takahiro Yamada; Takeharu Yoshikawa
    Applied Sciences  13  (14)  , 8330-8330, 19, Jul. 2023  , Refereed

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Books etc

  1. AI: A Machine-Learning-Based Framework for Developing Various Computer-Aided Detection Systems with Generated Image Features (In Multidisciplinary computational anatomy : toward integration of artificial intelligence with MCA-based medicine) , Hashizume Makoto , 51th chapter, pp361-365, written by M Nemoto & N Hayashi , 51th chapter, pp361-365, written by M Nemoto & N Hayashi , Springer Singapore , 2022

Conference Activities & Talks

  1. Pix2Pix画像スタイル変換を用いた教師無し異常検知による FDG-PET/CT像上肺病変強調 , 大谷和暉; 根本充貴; 甲斐田勇人; 瀬川新; 中前有香子; 村中皓紀; 吉田昂平; 木村裕一; 永岡隆; 山田誉大; 花岡宏平; 槌谷達也; 北島一宏; 石井一成 , 第62回日本生体医工学会大会 2023年5月 , 20, May. 2023
  2. U-Netを用いたCT像上肝臓および腎臓領域の同時抽出～腹部PET/CT像上病変検出に向けた検討～ , 吉田昂平; 根本充貴; 甲斐田勇人; 瀬川新; 中前有香子; 村中皓紀; 大谷和暉; 木村裕一; 永岡隆; 山田誉大; 花岡宏平; 槌谷達也; 北島一宏; 石井一成 , 第62回日本生体医工学会大会 , May. 2023
  3. フラクタルデータベースを用いた胸部CT画像の肺炎識別器の事前学習 , 吉岡雄健; 舩津朋和; 永岡隆; 小塚健倫; 根本充貴; 山田誉大; 木村裕一; 石井一成; 波部斉 , 情報処理学会第85回全国大会 , 2, Mar. 2023

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MISC

  1. Pre-training of Pneumonia Classifier for Chest CT images using Fractal Database , Yuken Yoshioka; Daichi Ikefuji; Tomokazu Funatsu; Takashi Nagaoka; Takenori Kozuka; Mitsutaka Nemoto; Takahiro Yamada; Yuichi Kimura; Kazunari Ishii; Hitoshi Habe , The 29th International Workshop on Frontiers of Computer Vision (IW-FCV2023) Online Proceeding , 77 , 84 , Feb. 2023
  2. Evaluation on Applicability of Generative Adversarial Network to Synthesize Training Images for AI-Based Computer Aided Diagnostic Algorithm to Dementia , Watanabe A; Yamada T; Nagaoka T; Nemoto M; Watabe H; Ibaraki M; Matsubara K; Hanaoka K; Ishii K; Kimura Y , 13th World Federation of Nuclear Medicine and Biology , Sep. 2022
  3. Study for detecting pulmonary nodules on FDG-PET/CT images with training small dataset , Segawa A; Nemoto M; Kaida H; Kimura Y; Nagaoka T; Yamaguchi H; Nakamae Y; Yamada T; Hanaoka K; Kitajima K; Tsuchitani T; Ishii K , 13th World Federation of Nuclear Medicine and Biology , Sep. 2022

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Awards & Honors

  1. Feb. 2024, SPIE Medical Imaging 2024, Honorable Mention Poster Award
  2. May. 2023, Japanese Society for Medical and Biological Engineering, Young Investigator’s Award, Excellence Place
  3. Jun. 2022, 日本生体医工学会, 日本生体医工学会臨床工学技士研究発表 奨励賞

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Research Grants & Projects

  1. 日本学術振興会, 科学研究費助成事業 基盤研究(B), 肉用牛における肥育状態の生体評価法の開発と産肉制御の分子機構の解明 , 近畿大学
  2. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Computer-aided detection development based on semi-supervised learning with medical chart information , Kindai University
  3. 文部科学省, 科学研究費補助金(若手研究(B)), 解剖学的ランドマーク情報を用いた3次元医用画像上の病変認識処理の効率的深層学習

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