Researchers

NEMOTO Mitsutaka

NEMOTO Mitsutaka
Associate Professor
Faculty Department of Biomedical Engineering / Graduate School of Biology-Oriented Science and Technology
Researchmap https://researchmap.jp/nemo_mits

Education and Career

Academic & Professional Experience

  • Sep. 2025 - Today , GREYC Laboratury Image Team Visiting Researcher
  • 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 Department of Biomedical Engineering 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. Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional 18 F-FDG Images and Evaluation for Clinical Use
    Misa Honda; Takahiro Yamada; Shogo Watanabe; Aya Watanabe; Takashi Nagaoka; Mitsutaka Nemoto; Katsuhiro Mikami; Kohei Hanaoka; Hayato Kaida; Hisashi Handa; Kazunari Ishii; Yuichi Kimura
    Journal of Nuclear Medicine Technology  , jnmt.125.270154-jnmt.125.270154, 13, Jan. 2026 
  2. Evaluation of amyloid PET positivity using machine learning on 18F-FDG PET images
    Takahiro Yamada; Yuichi Kimura; Shogo Watanabe; Aya Watanabe; Misa Honda; Takashi Nagaoka; Mitsutaka Nemoto; Kohei Hanaoka; Hayato Kaida; Yasuyuki Kojita; Minoru Yamada; SungWoon Im; Atsushi Kono; Kazunari Ishii
    Japanese Journal of Radiology  2, May. 2025  , Refereed
  3. 医用画像処理におけるモルフォロジーの応用
    Mitsutaka Nemoto
    Medical Imaging Technology  42  (5)  , 139-144, Nov. 2024 

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Books etc

  1. Urology Today , 根本充貴 , State of the Art 2: デジタル・AI 技術の(泌尿器科)医療への応用 , State of the Art 2: デジタル・AI 技術の(泌尿器科)医療への応用 , アステラス製薬株式会社 , Jul. 2024
  2. 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. Synthesizing amyloid PET images from FDG-PET images by generative AI with 2.5D training , 本田 実沙; 山田 誉大; 渡辺 翔吾; 永岡 隆; 根本 充貴; 三上 勝大; 花岡 宏平; 甲斐田 勇人; 半田 久志; 石井 一成; 木村 裕一 , 第65回日本核医学会学術総会 , Nov. 2025
  2. Amyloid images synthesis from 18F-FDG images using generative adversarial Network , Misa Honda; Takahiro Yamada; Shogo Watanabe; Aya Watanabe; Takashi Nagaoka; Mitsutaka Nemoto; Katsuhiro Mikami; Kohei Hanaoka; Hayato Kaida; Hisashi Handa; Kazunari Ishii; Yuichi Kimura , 生体医工学シンポジウム2025 , 13, Sep. 2025
  3. CutMixを用いたがん骨転移患者CT像上の骨 領域抽出精度改善の検討 , 井澤康樹; 根本充貴; 甲斐田勇人; 北島一弘; 木村裕一; 永岡隆; 三上勝大; 山田誉大; 花岡宏平; 槌谷達也; 石井一成 , 生体医工学シンポジウム2025 , 12, Sep. 2025

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MISC

  1. 2.5-dimensional multi-task learning for accurate detection of adrenal metastasis on abdominal FDGPET/CT images , Mitsutaka Nemoto; Kohei Yoshida; Hayato Kaida; Yuichi Kimura; Takashi Nagaoka; Katsuhiro Mikami; Takahiro Yamada; Kohei Hanaoka; Tatsuya Tsuchitani; Kazuhiro Kitajima; Kazunari Ishii , Computer Assisted Radiology and Surgery Proceedings of the 39th International Congress and Exhibition , 20 , Suppl 1 , S106 , S107 , Jun. 2025
  2. Unsupervised lung lesion detection on FDG-PET/CT images by deep image transformation-based 2.5-dimensional local anomaly detection , Arata Segawa; Mitsutaka Nemoto; Hayato Kaida; Yuichi Kimura; Takashi Nagaoka; Katsuhiro Mikami; Takahiro Yamada; Kohei Hanaoka; Tatsuya Tsuchitani; Kazuhiro Kitajima; Kazunari Ishii , SPIE Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications , 2, Apr. 2024
  3. Robustness of a U-net model for different image processing types in segmentation of the mammary gland region , Mika Yamamuro; Yoshiyuki Asai; Naomi Hashimoto; Nao Yasuda; Hiroto Kimura; Takahiro Yamada; Mitsutaka Nemoto; Yuichi Kimura; Hisashi Handa; Hisashi Yoshida; Koji Abe; Masahiro Tada; Hitoshi Habe; Takashi Nagaoka; Seiun Nin; Kazunari Ishii; Yongbum Lee , 16th International Workshop on Breast Imaging (IWBI2022) , 13, Jul. 2022

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Awards & Honors

  1. Jun. 2025, The 64th Annual Conference of Japanese Society for Medical and Biological Engineering, Konica Minolta Science and Technology Foundation, Encouragement Poster Award
  2. Jun. 2025, The 64th Annual Conference of Japanese Society for Medical and Biological Engineering, Clinical Engineer Research Presentation Encouragement Award: Silver Award
  3. Dec. 2024, The 30th Congress of Kinki Association for Clinical Engineers, Best Student Presentation Award

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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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