Rchr
J-GLOBAL ID：201601000029975446   Update date: Nov. 02, 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
Show all
Papers (43)：
  • Hitoshi HABE, Yuken YOSHIOKA, Daichi IKEFUJI, Tomokazu FUNATSU, Takashi NAGAOKA, Takenori KOZUKA, Mitsutaka NEMOTO, Takahiro YAMADA, Yuichi KIMURA, Kazunari ISHII. Image Augmentation Using Fractals for Medical Image Diagnosis. Advanced Biomedical Engineering. 2024. 13. 327-334
  • 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
  • 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
  • Katsuhiro Mikami, Akihiro Ishinoda, Mitsutaka Nemoto. Characterization of Laser-Induced Photothermal Vibration for Young’s Modulus Imaging toward Computer-Aided Detection. Applied Sciences. 2023. 13. 6. 3639-3639
ｍore...
MISC (55)：
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  (135)：
  • Estimation of Bone Density by Machine Learning with L-RFA data
    (The 10th Biomedical Imaging and Sensing Conference (BISC2024) 2024)
  • Investigation of elastography for soft tissue by laser-induced photo thermal elastic wave
    (The 13th Advanced Lasers and Photon Sources (ALPS2024) 2024)
  • 深層学習識別器の効果的な事前学習のためのフラクタル画像を用いたデータ拡張
    (情報処理学会第86回全国大会 2024)
  • 画像診断AI開発における自動アノテーション処理の学習データ量と精度の関係の実験的検証
    (電子情報通信学会医用画像研究会 2024)
  • 3次元Pix2Pix画像モダリティ変換を用いたFDG-PET/CT像上の半教師あり胸部病変検出
    (電子情報通信学会医用画像研究会 2024)
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
  • 2020/07 - 現在 Examination Committee Member, National Examination for Clinical Engineering Technicians
Show all
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
Show all
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
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page

TOP

BOTTOM