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

Suzuki Kenji

スズキ ケンジ | Suzuki Kenji
Affiliation and department:
Job title: Professor
Other affiliations (3):
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
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Papers (257):
  • 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
  • Ze Jin, Maolin Pang, Yuqiao Yang, Fahad Parvez Mahdi, Tianyi Qu, Ren Sasage, Kenji Suzuki. Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models. Lecture Notes in Computer Science. 2023. 713-722
  • Wahyu Rahmaniar, Kenji Suzuki, Ting-Lan Lin. Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity. IEEE Transactions on Biomedical Engineering. 2023. 1-10
  • Tomoyuki Shishido, Yasuhiro Ono, Itsuo Kumazawa, Ichiro Iwai, Kenji Suzuki. Artificial intelligence model substantially improves stratum corneum moisture content prediction from visible-light skin images and skin feature factors. Skin Research and Technology. 2023. 29. 8
  • Wan Azani Mustafa, Kenji Suzuki. Special Issue: Editorial Board Members’ Collection Series in “Computer-Aided Diagnosis and Prognosis of Diseases". Diagnostics. 2023
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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
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Patents (18):
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Books (41):
  • 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
  • Artificial Intelligence and Machine Learning for Healthcare
    Springer 2022 ISBN:9783031111532
  • 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
  • Lung Cancer and Imaging
    IOP Publishing 2020 ISBN:0750325380
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Lectures and oral presentations  (103):
  • Small-data AI and Its Applications to Diagnostic Aid and Virtual AI Imaging
    (the 4th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) 2023)
  • Detection and Correction of Defective Relative Humidity Data Collected from the Greenhouse Environment Using Nested Kalman Filters with Standard Deviation Analysis
    (2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023) 2023)
  • Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models
    (The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023) 2023)
  • Small-Data Deep Learning for Computer-Aided Diagnosis for Rare Diseases
    (55th Advanced Materials Congress 2023)
  • Functional Model Visualization for Explaining Massive-Training Artificial Neural Network for Liver Tumor Segmentation
    (45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023) 2023)
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)
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Committee career (89):
  • 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
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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)
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