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J-GLOBAL ID：201601000029975446   Update date: Jun. 12, 2024

Nemoto Mitsutaka

ネモト ミツタカ | Nemoto Mitsutaka
Affiliation and department：
Kindai University Faculty of Biology-Oriented Science and Technology Department of Biomedical Engineering

About Kindai University Faculty of Biology-Oriented Science and Technology Department of Biomedical Engineering


Job title： Associate Professor
Homepage URL  (1)： https://sites.google.com/waka.kindai.ac.jp/nemoto-medicot-lab
Research field  (2)： Medical systems ,  Perceptual information processing
Research keywords  (7)： Deep learning ,  Computer-aided diagnosis ,  Computational anatomy ,  Machine learning ,  Pattern recognition ,  Medical image analysis ,  画像情報処理
Research theme for competitive and other funds  (6)：
  • 2020 - 2024 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
  • 2020 - 2023 Computer-aided detection development based on semi-supervised learning with medical chart information
  • 2017 - 2019 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
  • 2017 - 2018 画像特徴量の自動生成を用いた医用画像からの病変検出システムの自動開発
  • 2013 - 2016 医用画像工学オープンディクショナリ研究会
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Papers (45)：
  • Arata Segawa, Mitsutaka Nemoto, Hayato Kaida, Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami, Takahiro Yamada, Kohei Hanaoka, Tatsuya Tsuchitani, Kazuhiro Kitajima, et al. Unsupervised lung lesion detection on FDG-PET/CT images by deep image transformation-based 2.5-dimensional local anomaly detection. SPIE Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications. 2024
  • Yukako Nakamae, Ryusuke Deguchi, Mitsutaka Nemoto, Yuichi Kimura, Shimpei Yamashita, Yasuo Kohjimoto, Isao Hara. AI prediction of extracorporeal shock wave lithotripsy outcomes for ureteral stones by machine learning-based analysis with a variety of stone and patient characteristics. Urolithiasis. 2023. 52. 1
  • 畠山 拓人, 中島 大輔, 三上 勝大, 松山 哲也, 根本 充貴, 大矢 昭仁, 藤江 厚廣, 中村 雅也, 名倉 武雄. レーザー共振周波数解析を用いた術中臼蓋カップ固定性の評価システムの開発. 日本整形外科学会雑誌. 2023. 97. 8. S1959-S1959
  • K. Mikami, M. Nemoto, A. Ishinoda, T. Nagura, M. Nakamura, M. Matsumoto, D. Nakashima. Improvement of Machine Learning-Based Prediction of Pedicle Screw Stability in Laser Resonance Frequency Analysis via Data Augmentation from Micro-CT Images. Appl. Sci. 2023. 13. 15. 9037
  • Mitsutaka Nemoto, Kazuyuki Ushifusa, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Takeharu Yoshikawa. Unsupervised Feature Extraction for Various Computer-Aided Diagnosis Using Multiple Convolutional Autoencoders and 2.5-Dimensional Local Image Analysis. Applied Sciences. 2023. 13. 14. 8330-8330
ｍore...
MISC (34)：
  • Yuken Yoshioka, Daichi Ikefuji, Tomokazu Funatsu, Takashi Nagaoka, Takenori Kozuka, Mitsutaka Nemoto, Takahiro Yamada, Yuichi Kimura, Kazunari Ishii, Hitoshi Habe. Pre-training of Pneumonia Classifier for Chest CT images using Fractal Database. The 29th International Workshop on Frontiers of Computer Vision (IW-FCV2023) Online Proceeding. 2023. 77-84
  • Watanabe A, Yamada T, Nagaoka T, Nemoto M, Watabe H, Ibaraki M, Matsubara K, Hanaoka K, Ishii K, Kimura Y. Evaluation on Applicability of Generative Adversarial Network to Synthesize Training Images for AI-Based Computer Aided Diagnostic Algorithm to Dementia. 13th World Federation of Nuclear Medicine and Biology. 2022
  • Segawa A, Nemoto M, Kaida H, Kimura Y, Nagaoka T, Yamaguchi H, Nakamae Y, Yamada T, Hanaoka K, Kitajima K, et al. Study for detecting pulmonary nodules on FDG-PET/CT images with training small dataset. 13th World Federation of Nuclear Medicine and Biology. 2022
  • Yamaguchi H, Nemoto M, Kaida H, Kimura Y, Nagaoka T, Yamada T, Hanaoka K, Kitajima K, Tsuchitani T, Ishii K. Detection of Bone Metastasis on FDG-PET/CT Images using Multi-step Anomaly Voxel Detection and Local Patch analysis with Unsupervised Deep Features and Image Textures. 13th World Federation of Nuclear Medicine and Biology. 2022
  • Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Hiroto Kimura, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, et al. Robustness of a U-net model for different image processing types in segmentation of the mammary gland region. 16th International Workshop on Breast Imaging (IWBI2022). 2022
ｍore...
Books (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)
    Springer Singapore 2022 ISBN:9789811643248
Lectures and oral presentations  (109)：
  • 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
    (第62回日本生体医工学会大会 2023年5月 2023)
  • 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~
    (第62回日本生体医工学会大会 2023)
  • 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
    (情報処理学会第85回全国大会 2023)
  • 医療AIの現状と泌尿器科領域への適用の可能性
    (第72回日本泌尿器科学会中部総会 2022)
  • CT画像テクスチャと患者情報を用いた多因子ESWL結果予測AIに対する重要因子の解析
    (日本尿路結石症学会 第32回学術集会 2022)
ｍore...
Professional career (1)：
  • PhD in Engineering
Work history (4)：
  • 2024/04 - 現在 Kindai University Faculty of Biology-Oriented Science and Technology Department of Biomedical Engineering Associate Professor
  • 2017/04 - 2024/03 Kindai University Faculty of Biology-Oriented Science and Technology Department of Biomedical Engineering Lecturer
  • 2014/04 - 2017/03 The University of Tokyo Hospital 22nd Century Medical and Research Center Project researcher
  • 2007/04 - 2014/03 University of Tokyo Hospital Department of Radiology Project researcher
Committee career (9)：
  • 2023/06 - 現在 The Institute of Electronics, Information and Communication Engineers Technical Committee Member on Medical Imaging
  • 2022/04 - 現在 Japanese Society of Medical Imaging Technology Delegate
  • 2021/02 - 現在 Japanese Society for Medical and Biological Engineering Editorial Committee
  • 2021/01 - 現在 日本生体医工学会 生体画像と医用人工知能研究会 幹事
  • 2020/10 - 現在 The Japanese Society of Medical Image Analysis Editorial Committee Vice Chairman
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Awards (9)：
  • 2024/02 - SPIE Medical Imaging 2024 Honorable Mention Poster Award Unsupervised lung lesion detection on FDG-PET/CT images by deep image transformation-based 2.5-dimensional local anomaly detection.
  • 2023/05 - Japanese Society for Medical and Biological Engineering Young Investigator’s Award, Excellence Place
  • 2022/06 - 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 深層画像生成技術を用いたFDG-PET/CT像異常検知による病変強調
  • 2020/09 - The Institute of Electronics, Information and Communication Engineers Medical Imaging (MI) Young Researcher's Award A study of generalized generation of image features for computer-aided detection systems based on unsupervised learning with normal datasets - Experimental evaluations of feature generation by small datasets
  • 2019/06 - Japanese Society for Medical and Biological Engineering Young Investigator’s Award, Excellence Place
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Association Membership(s) (5)：
JAPAN RADIOLOGICAL SOCIETY ,  THE JAPANESE SOCIETY OF MEDICAL IMAGING TECHNOLOGY ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS ,  JAPANESE SOCIETY FOR MEDICAL AND BIOLOGICAL ENGINEERING ,  JAPANESE SOCIETY OF NUCLEAR MEDICINE
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