Rchr
J-GLOBAL ID:202001015401617748   Update date: Nov. 19, 2024

Suzuki Kenji

スズキ ケンジ | Suzuki Kenji
Affiliation and department:
Job title: Professor
Other affiliations (3):
  • Tokyo Institute of Technology  The Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), Institute of Innovative Research (IIR)   Professor
  • Tokyo Institute of Technology  Department of Information and Communications Engineering, School of Engineering   Professor
  • Tokyo Institute of Technology  Tokyo Tech Academy for Super Smart Society   Professor
Research theme for competitive and other funds  (15):
  • 2020 - 2025 Development of White-Box Modular Deep Learning Model
  • 2021 - 2024 Development of innovative nucleic acid extraction technology for cancer genomic medicine
  • 2018 - 2022 Radiation dose reduction in medical imaging exams by means of deep-learning-based virtual imaging technology
  • 2021 - 2022 スモールデータAIによる医用画像診断支援システムの多品種短期開発
  • 2021 - 2022 口腔からの生体情報センシングとAIによるヘルスモニターシステムの開発
Show all
Papers (266):
  • Cunyuan Ji, Kengo Oshima, Takumi Urata, Fumikazu Kimura, Keiko Ishii, Takeshi Uehara, Kenji Suzuki, Saori Takeyama, Masahiro Yamaguchi. Transformation from hematoxylin-and-eosin staining to Ki-67 immunohistochemistry digital staining images using deep learning: experimental validation on the labeling index. Journal of Medical Imaging. 2024. 11. 04
  • Zhipeng Deng, Yuqiao Yang, Kenji Suzuki. Federated Active Learning Framework for Efficient Annotation Strategy in Skin-Lesion Classification. Journal of Investigative Dermatology. 2024
  • Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Hayit Greenspan, Usman Mahmood, Ronald M Summers, Georgia Tourassi, et al. AI and machine learning in medical imaging: key points from development to translation. BJR|Artificial Intelligence. 2024. 1. 1
  • Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Karen Drukker, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, et al. Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR|Artificial Intelligence. 2024. 1. 1
  • Pavarut S., Preedanan W., Kumazawa I., Suzuki K., Kobayashi M., Tanaka H., Ishioka J., Matsuoka Y., Fujii Y. Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN. IEEE Access. 2023. Vol. 11
more...
MISC (22):
  • 鈴木賢治. 医用画像処理における深層学習. JMPマガジン152 先進医療NAVIGATOR 医療とAI最前線. 2022. 8-10
  • 鈴木賢治. スモールデータ深層学習による医用画像診断支援. Precision Medicine. 2022. 5. 1. 90-92
  • 鈴木賢治. 深層学習による医用画像診断支援. BIO Clinica. 2021. Vol. 36. No. 7. 92-94
  • Suzuki, Kenji. 深層学習による医用画像処理と診断支援. Precision Medicine. 2020. 3. 5. 87-91
  • Suzuki, Kenji. 医用画像システム. JMAI Letter. 2020. 2. 53-54
more...
Patents (18):
more...
Books (42):
  • Advances in Intelligent Disease Diagnosis and Treatment
    Springer 2024 ISBN:3031656393
  • Artificial Intelligence and Machine Learning for Healthcare
    Springer 2022 ISBN:3031111532
  • Python,TensorFlowで実践する深層学習入門: しくみの理解と応用 (DIGITAL FOREST)
    東京化学同人 2022 ISBN:4807920383
  • Machine and Deep Learning in Oncology, Medical Physics and Radiology
    Springer 2022 ISBN:3030830462
  • 2020-2021年版 はじめての医用画像ディープラーニング -基礎・応用・事例- (医療AIとディープラーニングシリーズ)
    オーム社 2020 ISBN:4274225445
more...
Lectures and oral presentations  (119):
  • Small-Data Deep Learning for Detection and Classification of Lesions in Medical Images
    (The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications (IARIA Congress 2024) 2024)
  • Reduction of Radiation Dose in Full-Field Digital Mammography (FFDM) With Massive-Training Artificial Neural Network
    (11th Global Insight Conference on Breast Cancer (GICBC-2024) 2024)
  • スモールデータAIによる診断支援システムの開発
    (第66回日本小児神経学会学術集会 2024)
  • Small-Data Deep Learning for Detection and Classification of Lesions in Medical Images
    (2024 2nd International Conference on Intelligent Perception and Computer Vision (CIPCV 2024) 2024)
  • “Small-data” Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation
    (21st ΙΕΕΕ International Symposium on Biomedical Imaging (ISBI 2024) 2024)
more...
Education (2):
  • 1991 - 1993 Meijo University Graduate School of Science and Technology Division of Electrical and Electronic Engineering
  • 1987 - 1991 Meijo University Faculty of Science and Technology Department of Electrical and Electronic Engineering
Professional career (1):
  • Doctor (Engineering) (Nagoya University)
Work history (15):
  • 2020/04 - Tokyo Tech Academy for Super Smart Society, Tokyo Institute of Technology Professor (Specially Appointed)
  • 2017/05 - Information and Communications Engineering, School of Engineering, Tokyo Institute of Technology Professor (Specially Appointed)
  • 2017/05 - World Research Hub Initiative (WRHI), Institute of Innovative Research (IIR), Tokyo Institute of Technology Professor (Specially Appointed)
  • 2017/05 - The Laboratory for Future Interdisciplinary Research in Science and Technology (FIRST), Institute of Innovative Research (IIR), Tokyo Institute of Technology Professor (Specially Appointed)
  • 2014/08 - Illinois Institute of Technology Medical Imaging Research Center, Pritzker Institute of Biomedical Science and Engineering Associate Professor (Tenured)
Show all
Committee career (88):
  • 2020 - 現在 AI Editor-in-Chief
  • 2019 - 現在 日本メディカルAI 学会 顧問
  • 2019 - 現在 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC) Associate Editor
  • 2019 - 現在 International Coalition of Intelligent Manufacturing (ICIM) Academic Committee member
  • 2019 - 現在 IEEE Transactions on Neural Networks and Learning Systems Reviewer
Show all
Association Membership(s) (8):
日本メディカルAI学会 ,  日本医用画像工学会 ,  情報処理学会 ,  電子情報通信学会 ,  American Association of Physicists in Medicine (AAPM) ,  International Society for Optical Engineering (SPIE) ,  Medical Image Computing and Computer Assisted Intervention Society (MICCAI) ,  Institute of Electrical and Electronics Engineers (IEEE)
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page