Suzuki Kenji 鈴木賢治

… Alternative Names

鈴木賢治スズキケンジ

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Researcher Number	00295578
Other IDs
Affiliation (Current)	2025: 東京科学大学, 総合研究院, 教授
Affiliation (based on the past Project Information) *help	2020 – 2023: 東京工業大学, 科学技術創成研究院, 教授 2017 – 2019: 東京工業大学, 科学技術創成研究院, 特任教授 2002: 愛知県立大, 情報科学部, 助手 1998 – 2001: 愛知県立大学, 情報科学部, 助手
Review Section/Research Field	Principal Investigator System engineering / Basic Section 52040:Radiological sciences-related / Medical Physics and Radiological Technology Except Principal Investigator Medium-sized Section 90:Biomedical engineering and related fields
Keywords	Principal Investigator 雑音除去 / 被曝低減 / CT / 機械学習 / 深層学習 / ニューラルネット / 医用画像 / 医用システム / 学習型システム / 線量低減 … More / 人工知能 / 放射線被曝 / 知的システム / 学習型画像処理 / 演繹的処理 / 帰納的獲得 / 判断獲得 / 診断支援システム / 画像処理フィルタ / 入力情報自動選択 / 学習型信号処理 … More Except Principal Investigator 遺伝子 / ゲノム / 自家蛍光 / 深層学習 / コンピュータ診断支援 / 画像処理 / 定量化 / 核酸抽出 / 病理標本 / デジタル染色 / 未染色標本 Less

Development of innovative nucleic acid extraction technology for cancer genomic medicine
- Principal Investigator
  
  石川雅浩
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 90:Biomedical engineering and related fields
- Research Institution
  Kindai University
  Saitama Medical University
Radiation dose reduction in medical imaging exams by means of deep-learning-based virtual imaging technologyPrincipal Investigator
- Principal Investigator
  
  Suzuki Kenji
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Tokyo Institute of Technology
Radiation dose reduction in CT by improving the image quality of ultra low dose CT images by means of deep learningPrincipal Investigator
- Principal Investigator
  
  鈴木賢治
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Medical Physics and Radiological Technology
- Research Institution
  Tokyo Institute of Technology
帰納的処理と演繹的処理の統合による知的学習型画像処理システムに関する研究Principal Investigator
- Principal Investigator
  
  鈴木賢治
- Project Period (FY)
  2002
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  System engineering
- Research Institution
  Aichi Prefectural University
帰納的な問題解決と演繹的な問題解決を融合する知的学習型システムに関する研究Principal Investigator
- Principal Investigator
  
  鈴木賢治
- Project Period (FY)
  2000 – 2001
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  System engineering
- Research Institution
  Aichi Prefectural University
専門医の非記号系知識を獲得する自律学習成長型医用画像診断システムに関する研究Principal Investigator
- Principal Investigator
  
  鈴木賢治
- Project Period (FY)
  1998 – 1999
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  System engineering
- Research Institution
  Aichi Prefectural University

All 2021 2020 2019 2018 2017

All Journal Article Presentation Book

[Book] Biomedical Engineering2021
- Author(s)
  Suzuki K.
- Total Pages
  380
- Publisher
  Jenny Stanford Publishing
- ISBN
  9789814877633
- Data Source
  KAKENHI-PROJECT-18H02761
[Book] Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures2019
- Author(s)
  Greenspan H., Tanno R., Erdt M., Arbel T., Baumgartner C., Dalca A., Sudre C.H., Wells III W.M., Drechsler K., Linguraru M.G., Oyarzun Laura C., Shekhar R., Wesarg S., Gonzalez Ballester M. A., Suzuki K., Liao H., Wang Q., van Ginneken B., Zhou L.
- Total Pages
  184
- Publisher
  Springer International Publishing
- ISBN
  9783030326890
- Data Source
  KAKENHI-PROJECT-18H02761
[Book] Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting2019
- Author(s)
  Liao H., Balocco S., Wang G., Zhang F., Liu Y., Ding Z., Duong L., Phellan R., Zahnd G., Breininger K., Albarqouni S., Moriconi S., Lee S.-L., Demirci S., Suzuki K., Greenspan H., Wang Q., van Ginneken B., Zhou L.
- Total Pages
  199
- Publisher
  Springer International Publishing
- ISBN
  9783030333270
- Data Source
  KAKENHI-PROJECT-18H02761
[Book] Artificial intelligence in decision support systems for diagnosis in medical imaging2018
- Author(s)
  Chen, Yisong、Suzuki, Kenji
- Total Pages
  387
- Publisher
  Springer
- ISBN
  9783319688428
- Data Source
  KAKENHI-PROJECT-18H02761
[Book] Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging2018
- Author(s)
  Tajbakhsh N. and Suzuki K.
- Total Pages
  387
- Publisher
  Springer-Verlag
- ISBN
  9783319688435
- Data Source
  KAKENHI-PROJECT-18H02761
[Book] Emerging Developments and Practices in Oncology2018
- Author(s)
  Xu J., Zarshenas A., Chen Y., and Suzuki K.
- Total Pages
  305
- Publisher
  IGI Global
- ISBN
  9781522530855
- Data Source
  KAKENHI-PROJECT-17H06679
[Book] Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging2018
- Author(s)
  Suzuki K., Chen Y.
- Total Pages
  387
- Publisher
  Springer
- ISBN
  9783319688428
- Data Source
  KAKENHI-PROJECT-17H06679
[Book] Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging2018
- Author(s)
  Tajbakhsh N. and Suzuki K.
- Total Pages
  387
- Publisher
  Springer-Verlag
- ISBN
  9783319688435
- Data Source
  KAKENHI-PROJECT-17H06679
[Book] Emerging Developments and Practices in Oncology2018
- Author(s)
  Xu J., Zarshenas A., Chen Y., and Suzuki K.
- Total Pages
  305
- Publisher
  IGI Global
- ISBN
  9781522530855
- Data Source
  KAKENHI-PROJECT-18H02761
[Book] Image-based Computer-assisted Radiation Therapy2017
- Author(s)
  Suzuki K
- Total Pages
  375
- Publisher
  Springer-Nature
- ISBN
  9789811029431
- Data Source
  KAKENHI-PROJECT-17H06679
[Book] Machine Learning in Medical Imaging (MLMI)2017
- Author(s)
  Wang Q., Shi Y., Suk H., Suzuki K.
- Total Pages
  391
- Publisher
  Springer International Publishing
- ISBN
  9783319673899
- Data Source
  KAKENHI-PROJECT-17H06679
[Journal Article] Artificial Intelligence for Virtual Medical Imaging for Accurate2021
- Author(s)
  Suzuki K.
- Journal Title
  
  Video Proceedings of Advanced Materials
  
  Volume: 2 Issue: 2 Pages: 2021-03156-2021-03156
- DOI
  10.5185/vpoam.2021.03156
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] スモールデータ深層学習とその医用画像処理・診断支援への応用2020
- Author(s)
  鈴木賢治
- Journal Title
  
  週間医学のあゆみ
  
  Volume: 274 Pages: 737-742
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] 深層学習による医用画像処理と診断支援2020
- Author(s)
  鈴木賢治
- Journal Title
  
  Precision Medicine
  
  Volume: 3 Pages: 87-91
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] 医用画像システム2020
- Author(s)
  鈴木賢治
- Journal Title
  
  JMAI Letter
  
  Volume: 2 Pages: 53-54
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] Separation of bones from soft tissue in chest radiographs: Anatomy‐specific orientation‐frequency‐specific deep neural network convolution2019
- Author(s)
  Zarshenas Amin、Liu Junchi、Forti Paul、Suzuki Kenji
- Journal Title
  
  Medical Physics
  
  Volume: 46 Issue: 5 Pages: 2232-2242
- DOI
  10.1002/mp.13468
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] 人工知能（AI）最新動向ー画像処理2019
- Author(s)
  鈴木賢治
- Journal Title
  
  月刊インナービジョン
  
  Volume: 34 Pages: 35-36
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] 大腸CTにおけるAI支援画像診断2019
- Author(s)
  鈴木賢治
- Journal Title
  
  月刊インナービジョン
  
  Volume: 34 Pages: 47-50
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] 画像診断領域における深層学習の最先端技術とAI支援画像診断2018
- Author(s)
  鈴木賢治
- Journal Title
  
  Multislice CT 2018 Book （映像情報メディカル増刊号）
  
  Volume: 50 Pages: 36-46
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] ディープラーニングによる画像処理・認識技術の最前線2018
- Author(s)
  鈴木賢治
- Journal Title
  
  月刊インナービジョン
  
  Volume: 33 Pages: 30-35
- Data Source
  KAKENHI-PROJECT-18H02761
[Journal Article] Machine Learning in Medical Imaging Before and After Introduction of Deep Learning2017
- Author(s)
  Suzuki K.
- Journal Title
  
  Medical Imaging and Information Sciences
  
  Volume: 34 Issue: 2 Pages: 14-24
- DOI
  10.11318/mii.34.14
- NAID
  130006846726
- ISSN
  0910-1543, 1880-4977
- Language
  English
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H06679
[Journal Article] Special issue on Machine Learning Applications in Medical Image Analysis2017
- Author(s)
  El-Baz A., Gimel'farb G., Suzuki K.
- Journal Title
  
  Computational and Mathematical Methods in Medicine
  
  Volume: 2017 Pages: 1-2
- DOI
  10.1155/2017/2361061
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Journal Article] Comparing Two Classes of End-to-End Learning Machines for Lung Nodule Detection and Classification: MTANNs vs CNNs2017
- Author(s)
  Nima Tajbakhsh and Suzuki K.
- Journal Title
  
  Pattern Recognition
  
  Volume: 63 Pages: 476-486
- DOI
  10.1016/j.patcog.2016.09.029
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Journal Article] Overview of Deep Learning in Medical Imaging2017
- Author(s)
  Suzuki K.
- Journal Title
  
  Radiological Physics and Technology
  
  Volume: 10 Issue: 3 Pages: 257-273
- DOI
  10.1007/s12194-017-0406-5
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H06679
[Journal Article] Deep Learning Applications, Research and Development in Medical Imaging: Introduction2017
- Author(s)
  Suzuki K.
- Journal Title
  
  Medical Imaging Technology
  
  Volume: 35 Issue: 4 Pages: 177-179
- DOI
  10.11409/mit.35.177
- NAID
  130006108057
- ISSN
  0288-450X, 2185-3193
- Language
  Japanese
- Data Source
  KAKENHI-PROJECT-17H06679
[Journal Article] Survey of Deep Learning Applications to Medical Image Analysis2017
- Author(s)
  Suzuki K.
- Journal Title
  
  Medical Imaging Technology
  
  Volume: 35 Issue: 4 Pages: 212-226
- DOI
  10.11409/mit.35.212
- NAID
  130006108080
- ISSN
  0288-450X, 2185-3193
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H06679
[Journal Article] Special issue on Machine Learning in Medical Imaging2017
- Author(s)
  Suzuki K., Zhou L., Wang Q.
- Journal Title
  
  Pattern Recognition
  
  Volume: 63 Pages: 465-467
- DOI
  10.1016/j.patcog.2016.10.020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] AI Doctor and Smart Medical Imaging with Deep Learning2021
- Author(s)
  Suzuki K.
- Organizer
  6th International Conference on Computational Intelligence in Data Mining (ICCIDM 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Virtual High-Radiation-Dose Image Generation from Low-Radiation-Dose Image in Digital Breast Tomosynthesis (DBT) Using Massive-Training Artificial Neural Network (MTANN)2021
- Author(s)
  Onai Y., Mahdi F. P., Jin Z., and Suzuki K.
- Organizer
  The 6th International Symposium on Biomedical Engineering (ISBE2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Intelligent Medical Image Processing and Analysis with Deep Learning2021
- Author(s)
  Suzuki K.
- Organizer
  The 6th International Conference on Communication, Image and Signal Processing (CCISP 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Artificial Intelligence in Computer-aided Diagnosis and Medical Image Processing2021
- Author(s)
  Suzuki K.
- Organizer
  The 2021 Artificial Intelligence, Big Data and Algorithms (CAIBDA 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Artificial Intelligence for Virtual Medical Imaging for Accurate Diagnosis2021
- Author(s)
  Suzuki K.
- Organizer
  Advanced Materials Congress
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Massive-Training Artificial Neural Network (MTANN) for Image Quality Improving in Fast-Acquisition MRI of the Knee2021
- Author(s)
  Xiang M., Jin Z., and Suzuki K.
- Organizer
  The 6th International Symposium on Biomedical Engineering (ISBE2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Artificial Intelligence for Medical Image Processing and Diagnosis2021
- Author(s)
  Suzuki K.
- Organizer
  4th Artificial Intelligence and Cloud Computing Conference (AICCC 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Massive-Training Artificial Neural Network (MTANN) with Special Kernel for Artifact Reduction In Fast-Acquisition MRI of the Knee2021
- Author(s)
  Xiang M., Jin Z., and Suzuki K.
- Organizer
  2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] 機械・深層学習による画像処理とパターン認識：-医用画像処理・診断支援を例に-2021
- Author(s)
  鈴木賢治
- Organizer
  第139回フロンティア材料研究所講演会
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] AIによる肺がんの画像処理・診断支援2021
- Author(s)
  鈴木賢治
- Organizer
  第62回日本肺癌学会学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] メディカルAIイメージングとAI支援画像診断2021
- Author(s)
  鈴木賢治
- Organizer
  第2回最先端研究セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Artificial Intelligence in Diagnosis of Cancer with Medical Images2020
- Author(s)
  Suzuki K.
- Organizer
  Webinar on Cancer Research
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] ディープラーニングによる検診のためのAI支援画像診断と医用画像処理2020
- Author(s)
  鈴木賢治
- Organizer
  第28回日本CT検診学会学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] AI in Medical Image Processing and Diagnosis of Chest2020
- Author(s)
  Suzuki K.
- Organizer
  The 12th Annual Meeting of Japanese Society of Pulmonary Functional Imaging
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Fast Acquisition MRI of the Knee by Means of Massive-Training Artificial Neural Network (MTANN) with Special Kernel2020
- Author(s)
  Xiang M., Jin Z., and Suzuki K.
- Organizer
  European Congress of Radiology 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Translational Research in Medical Image Processing with Deep Learning and AI-aided Diagnosis2020
- Author(s)
  Suzuki K.
- Organizer
  2nd Annual Meeting of Japanese Association for Medical Artificial Intelligence
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] ディープ・ラーニングによるスマート医用画像処理・診断支援2020
- Author(s)
  鈴木賢治
- Organizer
  第5回Advanced Medical Imaging 研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Generation of Virtual High-Radiation-Dose Images from Low-Dose Images in Digital Breast Tomosynthesis (DBT) with Massive-Training Artificial Neural Network (MTANN)2020
- Author(s)
  Onai Y., Jin Z., and Suzuki K.
- Organizer
  European Congress of Radiology 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Cutting-edge and Translational Research in Medical Image Processing with Deep Learning and AI-aided Diagnosis2020
- Author(s)
  Suzuki K.
- Organizer
  3rd Annual Meeting of Japanese Gastrointestinal Virtual Reality Association
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning for Medical Image Processing, Patten Recognition, and Diagnosis2020
- Author(s)
  Suzuki K.
- Organizer
  3rd Artificial Intelligence and Cloud Computing Conference (AICCC 2020)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Neural Network Convolution (NNC) Deep Learning for Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT)2020
- Author(s)
  Y. Onai, Z. Jin, T. Obi and K. Suzuki
- Organizer
  Proceedings of Annual Meeting of Research Center for Biomedical Engineering 2019
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Medical Imaging & AI - Fundamentals2020
- Author(s)
  Suzuki K.
- Organizer
  46th Winter School of Optical Society of Japan
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] AI Doctor and Smart Medical Imaging with Deep Learning2019
- Author(s)
  Kenji Suzuki
- Organizer
  2019 3rd International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2019)
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] 世間の流行に左右されない深層学習所感2019
- Author(s)
  鈴木賢治
- Organizer
  第38回日本医用画像工学会大会 (JAMIT 2019)
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning-based AI in Medical Image Processing and Computer-aided Diagnosis2019
- Author(s)
  Suzuki K.
- Organizer
  International Conference on Alzheimer’s Disease & Dementia (Alzheimer 2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning for Image Processing, Patten Recognition, and Diagnosis in Medicine2019
- Author(s)
  Suzuki K.
- Organizer
  2nd Artificial Intelligence and Cloud Computing Conference (AICCC 2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Neural Network Convolution Deep Learning for Semantic Segmentation of Breast Tumor in MRI2019
- Author(s)
  Wang Y., Jin Z., Tokuda Y., Naoi Y., Tomiyama N., Suzuki K.
- Organizer
  Proc. of 4th International Symposium on Biomedical Engineering (ISBE2019)
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Measuring System Entropy with a Deep Recurrent Neural Network Model2019
- Author(s)
  Martinez-Garcia M., Zhang Y., Suzuki K., and Zhang Y.
- Organizer
  Proc. 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning-based AI in Medical Image Processing and Computer-aided Diagnosis2019
- Author(s)
  Suzuki K.
- Organizer
  2nd International Conference on Medical Imaging and Case Reports (MICR 2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning in Medical Image Processing, Pattern Recognition, and Diagnosis2019
- Author(s)
  Suzuki K.
- Organizer
  International Conference on Computing and Pattern Recognition (ICCPR 2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Radiation dose reduction in chest CT at a micro-dose (mD) level by noise simulation and noise-specific anatomic neural network convolution (NNC) deep-learning (DL) with K-means clustering2019
- Author(s)
  Zhao Y., Zarshenas A., Higaki T., Awai K., and Suzuki K.
- Organizer
  Program of Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Virtual Dual-Energy Chest Imaging2019
- Author(s)
  Suzuki K.
- Organizer
  2019 AAPM Summer School - Practical Medical Image Analysis
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Introduction to Machine Learning I - Traditional Methods2019
- Author(s)
  Suzuki K.
- Organizer
  2019 AAPM Summer School - Practical Medical Image Analysis
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Smart Medical Image Processing and Diagnostic Aid with Deep-Learning-Driven-AI2019
- Author(s)
  Suzuki K.
- Organizer
  1st International Promotion Forum for Super Smart Society
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] AI Doctor and Smart Medical Imaging with Deep Learning2019
- Author(s)
  Suzuki K.
- Organizer
  2019 4th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution2019
- Author(s)
  Wang Y., Jin Z., Tokuda Y., Naoi Y., Tomiyama N., and Suzuki K.
- Organizer
  International Conference on Computing and Pattern Recognition (ICCPR 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] AI Doctor and Smart Medical Imaging with Deep Learning2019
- Author(s)
  Suzuki K.
- Organizer
  2019 3rd International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Sequential Neural Network Convolution (NNC) Deep Learning in Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT): Preliminary Results.2018
- Author(s)
  Liu J., Zarshenas A., Wei Z., Yang L., Fajardo L., and Suzuki K.
- Organizer
  Proc. International Conference on IEEE Engineering in Medicine & Biology Society (IEEE EMBC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning and Its Advanced Applications in Medical Image Processing, Analysis, and Diagnosis2018
- Author(s)
  Kenji Suzuki
- Organizer
  3rd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2018)
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning in Medical Image Processing, Analysis and Diagnosis,2018
- Author(s)
  Kenji Suzuki
- Organizer
  The 2nd International Summer School on Deep Learning (DeepLearn 2018)
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] “Virtual” High-Dose Technology: Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC).2018
- Author(s)
  Zarshenas A., Zhao Y., Liu J., Higaki T., Awai K., and Suzuki K.
- Organizer
  Program of Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Neural Network Convolution for Natural Image Denoising.2018
- Author(s)
  Zarshenas A., and Suzuki K.
- Organizer
  IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Reduction in training time of a deep learning (DL) model in radiomics analysis of lesions in CT.2018
- Author(s)
  Makkinejad N., Tajbakhsh N., Zarshenas A., Khokhar A., and Suzuki K.
- Organizer
  SPIE Medical Imaging (SPIE MI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing.2018
- Author(s)
  Liu J., Zarshenas A., Wei Z., Yang L., Fajardo L., and Suzuki K.
- Organizer
  SPIE Medical Imaging (SPIE MI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing.2018
- Author(s)
  Liu J., Zarshenas A., Wei Z., Yang L., Fajardo L., and Suzuki K.
- Organizer
  Proc. SPIE Medical Imaging (SPIE MI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning.2018
- Author(s)
  Liu J., Zarshenas A., Qadir S, Yang L., Fajardo L., and Suzuki K.
- Organizer
  Proc. International Workshop on Breast Imaging (IWBI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Reduction in training time of a deep learning (DL) model in radiomics analysis of lesions in CT.2018
- Author(s)
  Makkinejad N., Tajbakhsh N., Zarshenas A., Khokhar A., and Suzuki K.
- Organizer
  Proc. SPIE Medical Imaging (SPIE MI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning for Image Processing2018
- Author(s)
  Kenji Suzuki
- Organizer
  2018 IEEE SPS Winter School on Big Data and Deep Learning in Healthcare
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Historical Overview of Machine Learning (ML) and Deep Learning in Medical Image Analysis - What are the Sources of the Power of Deep Learning?2018
- Author(s)
  Suzuki K., Zarshenas A., Liu J., Zhao Y., and Luo Y.
- Organizer
  Program of Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Introduction to Deep Learning2018
- Author(s)
  Kenji Suzuki
- Organizer
  2018 IEEE SPS Winter School on Big Data and Deep Learning in Healthcare
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Overview of Deep Learning and Its Advanced Applications in Medical Image Processing, Analysis, and Diagnosis2018
- Author(s)
  Kenji Suzuki
- Organizer
  7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (IVPR)
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Effect of Simulated Micro-Dose (mD) CT on the Performance of Neural Network Convolution (NNC) Deep-Learning (DL) In Radiation Dose Reduction in Chest CT.2018
- Author(s)
  Zhao Y., Zarshenas A., Higaki T., Awai K., and Suzuki K.
- Organizer
  Program of Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep 3D Anatomy-Specific Neural Network Convolution for Radiation Dose Reduction in Chest CT at a Micro-Dose Level.2018
- Author(s)
  Zarshenas A., Zhao Y., Liu J., Higaki T., Fukumoto W., Awai K., and Suzuki K.:
- Organizer
  Proc. International Conference on IEEE Engineering in Medicine & Biology Society (IEEE EMBC),
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning-based AI in Medical Image Processing and Computer-aided Diagnosis, International Forum on Intelligent Medical Image Analysis2018
- Author(s)
  Kenji Suzuki
- Organizer
  Tsinghua University
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep Learning in Medical Image Processing and Diagnosis,2018
- Author(s)
  Kenji Suzuki
- Organizer
  5th International Conference on Computational Science and Technology 2018 (ICCST2018)
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs.2018
- Author(s)
  Zarshenas A., Liu J., Forti P., and Suzuki K.
- Organizer
  IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] IEEE SPS winter school program2018
- Author(s)
  Kenji Suzuki
- Organizer
  IEEE Signal Processing Society (SPS) Malaysia Chapter
- Invited
- Data Source
  KAKENHI-PROJECT-18H02761
[Presentation] Deep and Shallow Machine Learning in Medical Image Analysis and Diagnosis.2017
- Author(s)
  Suzuki K.
- Organizer
  IEEE 5th Workshop on Data Mining in Biomedical Informatics and Health (DMBIH)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Virtual High-Dose (VHD) Technology: Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Supervised Deep-Learning Image Processing (DLIP).2017
- Author(s)
  Liu J., Zarshenas A., Wei Z., Yang L., Fajardo L. L., and Suzuki K.
- Organizer
  Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] How Deep Should We Go with Deep Learning in Medical Image Analysis?2017
- Author(s)
  Tajbakhsh N., Zarshenas A., Liu J., and Suzuki K.
- Organizer
  Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images.2017
- Author(s)
  Suzuki K., Liu J., Zarshenas A., Higaki T., Fukumoto W., and Awai K.
- Organizer
  International Workshop on Machine Learning in Medical Imaging (MLMI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Recent Advances in Medical Image Understanding and Diagnosis with Artificial Intelligence.2017
- Author(s)
  Suzuki K.
- Organizer
  Hiroshima Medical Engineering School (hBMEs)
- Invited
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC).2017
- Author(s)
  Zarshenas A., Zhao Y., Liu J., Higaki T., Awai K., and Suzuki K.
- Organizer
  Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] What Was Changed in Machine Learning (ML) in Medical Image Analysis After the Introduction of Deep Learning?2017
- Author(s)
  Suzuki K., Zarshenas A., Liu J., Zhao Y., and Luo Y.
- Organizer
  Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Detection of Solid Pulmonary Nodules in Micro-Dose CT (mDCT) with "Virtual" Higher-Dose (vHD) CT Technology: An Observer Performance Study.2017
- Author(s)
  Fukumoto W., Suzuki K., Higaki T., Zhao Y., Zarshenas A., and Awai K.
- Organizer
  Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Two Deep-Learning Models for Lung Nodule Detection and Classification in CT: Convolutional Neural Network (CNN) vs Neural Network Convolution (NNC).2017
- Author(s)
  Tajbakhsh N., Zarshenas A., Liu J., and Suzuki K.
- Organizer
  Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Computer-Based Interactive Demonstration and Comparative Study: Virtual Full-Dose (VFD) Digital Breast Tomosynthesis (DBT) Images Derived From Reduced-Dose Acquisitions versus Clinical Full-Dose DBT Images.2017
- Author(s)
  Liu J., Zarshenas A., Wei Z., Yang L., Fajardo L. L., and Suzuki K.
- Organizer
  Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679
[Presentation] Investigating the Depth of Convolutional Neural Networks (CNNs) in Computer-aided Detection and Classification of Focal Lesions: Lung Nodules in Thoracic CT and Colorectal Polyps in CT Colonography.2017
- Author(s)
  Tajbakhsh N., Zarshenas A., Liu J., and Suzuki K.
- Organizer
  Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06679

1. 粟井和夫 (30294573)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
2. 小尾高史 (40280995)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. 石川雅浩 (70540417)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 小林直樹 (40523634)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 橋口明典 (50276218)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Suzuki Kenji 鈴木 賢治

鈴木 賢治 スズキ ケンジ

Research Projects

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Co-Researchers

Development of innovative nucleic acid extraction technology for cancer genomic medicine

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Radiation dose reduction in medical imaging exams by means of deep-learning-based virtual imaging technologyPrincipal Investigator

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Radiation dose reduction in CT by improving the image quality of ultra low dose CT images by means of deep learningPrincipal Investigator

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帰納的処理と演繹的処理の統合による知的学習型画像処理システムに関する研究Principal Investigator

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帰納的な問題解決と演繹的な問題解決を融合する知的学習型システムに関する研究Principal Investigator

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専門医の非記号系知識を獲得する自律学習成長型医用画像診断システムに関する研究Principal Investigator

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[Book] Biomedical Engineering2021

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[Book] Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures2019

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[Book] Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting2019

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[Book] Artificial intelligence in decision support systems for diagnosis in medical imaging2018

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[Book] Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging2018

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[Book] Emerging Developments and Practices in Oncology2018

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[Book] Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging2018

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Suzuki Kenji 鈴木賢治

鈴木賢治スズキケンジ

[Journal Article] 人工知能（AI）最新動向ー画像処理2019