Kenji Suzuki, M.S., Ph.D.

Education

2001　Ph.D. in Engineering (by Published Work), Nagoya University, Nagoya, Japan

Professional Experience (Full-time Position)

1993　Researcher, Research and Development Center, Hitachi Medical Corporation, Kashiwa, Japan
1997　Research Associate and Lecturer, Department of Applied Information Science and Technology, Faculty of Information Science and Technology, Aichi Prefectural University, Aichi, Japan
2002　Research Associate, Kurt Rossmann Laboratories for Radiologic Image Research, Section of Radiological Sciences, Department of Radiology, Division of the Biological Sciences, The University of Chicago
2003　Research Associate (Instructor), Section of Radiological Sciences, Department of Radiology, Division of the Biological Sciences, The University of Chicago
2004　Research Associate (Assistant Professor), Section of Radiological Sciences, Department of Radiology, Division of the Biological Sciences, The University of Chicago

2006　Assistant Professor, Section of Imaging Sciences, Department of Radiology, Division of the Biological Sciences, The University of Chicago
2007　Assistant Professor, Committee on Medical Physics, Division of the Biological Sciences, The University of Chicago

University of Chicago Comprehensive Cancer Center, The University of Chicago
2014　Associate Professor (Tenured), Department of Electrical and Computer Engineering, Armour College of Engineering, Illinois Institute of Technology

Medical Imaging Research Center, Pritzker Institute of Biomedical Science and Engineering, Illinois Tech
2017　Professor (Specially Appointed), World Research Hub Initiative (WRHI), Institute of Innovative Research (IIR), Tokyo Institute of Technology

Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), IIR, Tokyo Tech

Department of Information and Communications Engineering, School of Engineering, Tokyo Tech
2020　Professor (Specially Appointed), Tokyo Tech Academy for Super Smart Society, Tokyo Tech
2021　Professor & Director, Biomedical Artificial Intelligence Unit (BMAI), Institute of Innovative Research (IIR), Tokyo Institute of Technology

Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), IIR, Tokyo Tech

World Research Hub Initiative (WRHI), IIR, Tokyo Tech

Human Centered Science and Biomedical Engineering Course, Department of Information and Communications Engineering, School of Engineering, Tokyo Tech

Information and Communications Engineering Course, Department of Information and Communications Engineering, School of Engineering, Tokyo Tech

Tokyo Tech Academy for Super Smart Society, Tokyo Tech
2022　Professor & Director, Biomedical Artificial Intelligence Unit (BMAI), Institute of Innovative Research (IIR), Tokyo Institute of Technology

Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), IIR, Tokyo Tech

Human Centered Science and Biomedical Engineering Course, Department of Information and Communications Engineering, School of Engineering, Tokyo Tech

Information and Communications Engineering Course, Department of Information and Communications Engineering, School of Engineering, Tokyo Tech

Tokyo Tech Academy for Super Smart Society, Tokyo Tech

HLS-Holistic Life Science, Tokyo Tech

Super Smart Society Promotion Consortium, Tokyo Tech
2024　Professor & Director, Biomedical Artificial Intelligence Unit (BMAI), Institute of Integrated Research (IIR), Institute of Science Tokyo

Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), IIR, Science Tokyo

Human Centered Science and Biomedical Engineering Course, Department of Information and Communications Engineering, School of Engineering, Science Tokyo

Information and Communications Engineering Course, Department of Information and Communications Engineering, School of Engineering, Science Tokyo

Tokyo Tech Academy for Super Smart Society, Science Tokyo/div>

HLS-Holistic Life Science, Science Tokyo

Super Smart Society Promotion Consortium, Science Tokyo

Research Interests

The long-term goal of Dr. Suzuki’s research is to develop and understand computational intelligence that learns, from data and examples, experts’ knowledge and skills in understanding images in order to make smart decisions. To approach his goal, he believes that the development of sophisticated machine-learning and image-analysis techniques, their theoretical backups, and an understanding of experts’ decision-making process and of the human visual system are essential. Areas of his interest include machine/data learning in biomedical imaging, computer-aided detection and diagnosis of lesions in biomedical images, and biomedical image processing and analysis, especially machine learning inspired by the human visual system for image processing and pattern recognition such as image-based machine learning and deep learning, and its applications in biomedicine.

Publications (see the Publications page for details)

Dr. Suzuki published approximately 400 papers including 125 peer-reviewed papers in leading journals such as IEEE TPAMI (Impact Factor: 23.6), IEEE TIP (IF: 10.6), IEEE TSP (IF: 5.4), IEEE TMI (IF: 10.6), IEEE TBME (IF: 4.6), IEEE JBHI (IF: 7.7), Pattern Recognition (IF: 8.0), Radiology (IF: 19.7), and EJNMMI (IF: 9.1) and 270 international conference papers in the fields of artificial intelligence (AI) and machine/data learning (ML), AI and ML in medical imaging, AI and ML in computer-aided detection/diagnosis in medical imaging, and AI and ML for medical image processing and analysis. Especially, his image-based machine learning inspired by the human visual system, which has a close relation with the neural networks that people now call deep learning, and its applications to computer-aided diagnosis and medical imaging are his main contributions to the fields. His papers were cited more than 16,000 times by other researchers. He has an h-index of 61. He is one of the top ten most cited researchers in the computer-aided diagnosis field by Google Scholar. He is an inventor on 40 patents (including 15 granted patents and 25 patent applications), which were licensed to several companies and commercialized. He published 16 books and 28 book chapters, and edited 20 journal special issues, including Neurocomputing (IF: 6.0). He was awarded 34 grants as P.I. including NIH R01, JST, and NEDO grants, totaling $8.1 million, and as Co-PI, sub-award totaling $15.1 million. He has served as a reviewer of 37 grants for major funding agencies, including National Science Foundation (NSF), National Institutes of Health (NIH), U.S. Army Medical Research and Materiel Command (USAMRMC), U.S. Department of State, and American Association for the Advancement of Science (AAAS), Japan Agency for Medical Research and Development (AMED). He has served as the Editor-in-Chief/Associate Editor or Guest Editor of a number of leading international journals, including Pattern Recognition (IF: 8.0), Neurocomputing (IF: 6.0), Frontiers in Oncology (IF: 4.7), Medical Physics (IF: 3.8), BioMed Research International (IF: 3.2), Quantitative Imaging in Medicine and Surgery (IF: 2.8), Diagnostics (IF: 3.6), and Electronics (IF: 2.9). He has served as a referee for 125 international journals, such as Science Translational Medicine (IF: 17.1) and Nature Communications (IF: 16.6), an organizer of 110 international conferences, and a program committee member of 120 international conferences, including IEEE EMBC, IEEE SMC, ICPR, and SPIE MI. He gave more than 160 invited talks and keynote speeches at international conferences and universities. His research was covered in 52 articles in newspapers, magazines and journals by press and media, including Lancet Respiratory Medicine (IF: 76.2). He has supervised more than 67 graduate/undergraduate/medical students and 7 postdocs/computer scientists, and accepted 16 visiting professors in his laboratory from foreign countries, supported by a grant/scholarship from their governments/institutions. He has received 20 awards for his research and teaching, including 3 Certificate of Merit Awards from RSNA, IEEE Outstanding Member Award, Kurt Rossmann Award for Excellence in Teaching from University of Chicago, IEICE Best Journal Paper Award, Most Cited Journal Paper Award 2016 from EANM and Springer-Nature, the 2017 Albert Nelson Marquis Lifetime Achievement Award from Marquis Who’s Who, The Most Citation Award 2019 from Japan Society of Medical Physics (JSMP) and Japanese Society of Radiological Technology (JSRT) ), and 2021 Award for Science and Technology (Research Category) at the Commendation for Science & Technology by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan.

Publications

Books

Krohn J. (author), Suzuki K. (supervisor of a translation), Shimizu M.(translator),「Python, TensorFlowで実践する深層学習入門しくみの理解と応用」東京化学同人, 278 pp., 2022.
*This book is the Japanese edition of “Deep Learning Illustrated”.
Suzuki K., Reyes M., Syeda-Mahmood T., Konukoglu E., Glocker B., Wiest R., Gur Y., Greenspan H., Madabhushi A.: Editors. Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, Lecture Notes in Computer Science, Springer International Publishing (Switzerland), vol. 11797, 87 pp., 2019. (ISBN 978-3-030-33850-3)
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., González Ballester M.Á., Suzuki K., Liao H., Wang Q., van Ginneken B., Zhou L.: Editors. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, Lecture Notes in Computer Science, Springer International Publishing (Switzerland), vol. 11840, 184 pp., 2019. (ISBN 978-3-030-32689-0)
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.: Editors. Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, Lecture Notes in Computer Science, Springer International Publishing (Switzerland), vol. 11794, 199 pp., 2019. (ISBN 978-3-030-33327-0)
Suzuki K., Chen Y.: Editors. Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging, Springer, (Switzerland), 387 pp., 2018. (ISBN 978-3-319-68842-8)

Wang Q., Shi Y., Suk H., Suzuki K.: Editors. Machine Learning in Medical Imaging (MLMI), Lecture Notes in Computer Science, Springer International Publishing (Switzerland), vol. 10541, 391 pp., 2017. (ISBN 978-3-319-67389-9)
Suzuki K.: Editor. Computational Intelligence in Biomedical Imaging, Springer (New York, NY), 411 pp., 2014. (ISBN 978-1-4614-7244-5)
Wu G., Zhang D., Shen D., Yan P., Suzuki K., Wang F.: Editors. Machine Learning in Medical Imaging (MLMI), Lecture Notes in Computer Science, Springer-Verlag (Berlin), vol. 8184, 262 pp., 2013. (ISBN 978-3-319-02266-6)
(Top 50% Most Downloaded eBooks in 2013 by Springer)
Suzuki K.: Editor. Artificial Neural Networks – Architectures and Applications, 256 pp., In-Tech (Vukovar, Croatia), 2013. (ISBN 978-953-51-0935-8)
Wang F., Shen D., Yan P., Suzuki K.: Editors. Machine Learning in Medical Imaging (MLMI), Lecture Notes in Computer Science, Springer-Verlag (Berlin), vol. 7588, 276 pp., 2012. (ISBN 978-3-642-35427-4)
Suzuki K.: Editor. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis, IGI Global (Hershey, PA), 524 pp., 2012. (ISBN 9781466600591)
Suzuki K., Wang F., Shen D., Yan P.: Editors. Machine Learning in Medical Imaging (MLMI), Lecture Notes in Computer Science, Springer-Verlag (Berlin), vol. 7009, 355 pp., 2011. (ISBN 978-3-642-24318-9)
Suzuki K.: Editor. Artificial Neural Networks – Industrial and Control Engineering Applications, 478 pp., In-Tech (Vukovar, Croatia), 2011. (ISBN 978-953-307-220-3)
Suzuki K.: Editor. Artificial Neural Networks – Methodological Advances and Biomedical Applications, 362 pp., In-Tech (Vukovar, Croatia), 2011. (ISBN 978-953-307-243-2)
Wang F., Yan P., Suzuki K., Shen D.: Editors. Machine Learning in Medical Imaging (MLMI), Lecture Notes in Computer Science, Springer-Verlag (Berlin), vol. 6357, 192 pp., 2010. (ISBN 978-3-642-15947-3)
(Top 50% Most Downloaded eBooks in 2013 by Springer)

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Selected Journal Papers

Suzuki K.., Horiba I., and Sugie N.: A simple neural network pruning algorithm with application to filter synthesis. Neural Processing Letters 13: 43-53, 2001.
Suzuki K.., Horiba I., and Sugie N.: Efficient approximation of neural filters for removing quantum noise from images. IEEE Transactions on Signal Processing 50: 1787-1799, 2002.
Suzuki K., Horiba I., Sugie N., and Nanki M.: Neural filter with selection of input features and its application to image quality improvement of medical image sequences. IEICE Transactions on Information and Systems E85-D: 1710-1718, 2002.

Editor-in-Chief/Associate Editor of Journals

2020-　Editor-in-Chief, AI: A New Open Access Journal for Artificial Intelligence
2017-　Associate Editor, Pattern Recognition (IF: 7.740)
　
2021-　Associate Editor, Frontiers in Oncology (IF: 6.244)
2018-　Editorial Board Member, Electronics (IF: 2.397)
2019-　Editorial Board Member, Diagnostics (IF: 3.706)

2012-　Editorial Board Member, Quantitative Imaging in Medicine and Surgery (IF: 3.837)
2007-　Invited Associate Editor, Medical Physics (IF: 4.071)

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Guest Editor for Special Issues of Journals

2022 Special issue on “Editorial Board Members’ Collection Series in “Computer-Aided Diagnosis and Prognosis of Diseases,”” Diagnostics

2022 Special issue on “Intelligent Systems for One Digital Health,” International Journal of Environmental Research and Public Health (Impact Factor: 4.614)

2022 Special Issue on “Feature Papers for AI,” AI

2020 Special Issue on “Frontiers in Artificial Intelligence,” AI

2018 Special Issue on “Computer-Aided Diagnosis and Characterization of Diseases,” Diagnostics

2017 Special issue on “Machine Learning in Medical Imaging,” Pattern Recognition (IF: 8.518)

2016 Special issue on “Machine Learning Applications in Medical Image Analysis,” Computational and Mathematical Methods in Medicine (IF: 2.809)

2016 Special issue on “Advances in Translational Cancer Imaging: Opportunities and Challenges,” BioMed Research International (IF: 3.246)

2016 Special issue on “Image and Video Processing in Medicine,” Journal of Imaging

2015 Special issue on “Machine Learning in Medical Imaging,” Computerized Medical Imaging and Graphics (IF: 7.422)

2013 Special issue on “Advanced Computing for Image-Guided Intervention,” Neurocomputing (IF: 5.779)

2013 Special issue on “Machine Learning in Medical Imaging,” Machine Vision and Applications (IF: 2.983)

2012 Special issue on “Lung Imaging Data Analysis,” International Journal of Biomedical Imaging

2012 Special issue on “Machine Learning for Medical Imaging 2012,” Algorithms

2011 Special issue on “Machine Learning in Medical Imaging,” International Journal of Biomedical Imaging

2010 Special issue on “Artificial Intelligence in Biomedical Image Analysis,” Open Artificial Intelligence Journal

2010 Special issue on “Machine Learning for Medical Imaging,” Algorithms

Organizer / Chair of International Conferences

2023 Steering Committee Member, 13th International Conference on Ambient Computing, Applications, Services and Technologies (AMBIENT 2023), Porto, Portugal, September 25-29, 2023
2022 Steering Committee Member, 12th International Conference on Ambient Computing, Applications, Services and Technologies (AMBIENT 2022), Barcelona, Spain, November 13-17, 2022
2022 Steering Committee Member, 2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE), Qingdao, China, August 26-28, 2022
2022 Chair, 2022 5th International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022), Chengdu, China, June 10-12, 2022
2021 Conference Committee Member, Robotics and Computer Science World Forum, Amsterdam, Netherlands, October 04-06, 2021
2021 Steering Committee Member, 11th International Conference on Ambient Computing, Applications, Services and Technologies (AMBIENT 2021), Barcelona, Spain, October 3-7, 2021
2021 Organizing Committee Member, International Webinar on Artificial Intelligence and Robotics (Robotics 2021), August 30-31, 2021
2021 Chair, 2021 4th International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2021), Chengdu, China, June 21-23, 2021
2021 Steering Committee Member, 2021 8th International Conference on Electronics Engineering and Technology (ICEET 2021), Tokyo, Japan, July 16-18, 2021
2021 Steering Committee Member, 2021 6th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2021), Tokyo, Japan, July 16-18, 2021
2021 Organizing Committee Member, International Conference on Dementia and Alzheimer’s, Paris, France, June 09-11, 2021
2021 Scientific Committee Member, International Precision Medicine Conference (IPMC 2021), April 19-21, 2021 (virtual)

Editor of International Conferences; Leadership Role in Organizations

2023-2024 Member, AAPM Task Group No. 416 – Quality assurance and user training of CAD-AI tools in clinical practice (TG416)
2023-2024 Member, AAPM Computer Aided Image Analysis Subcommittee (CADSC)
2023-2024 Member, AAPM Task Group No. 273 – CAD Assessment, Quality Assurance and Training (TG273)
2021-2024 Council Member, The Hong Kong Society of Robotics and Automation (HKSRA)
2024 Technical Program Chair, 2024 7th Artificial Intelligence and Cloud Computing Conference (AICCC 2024), Tokyo, Japan, December 14-16, 2024
2024 Chair, Program Committee, 2024 13th International Conference on Computing and Pattern Recognition (ICCPR 2024), Tianjin, China, October 25-27, 2024
2024 Associate Editor, IEEE International Symposium on Biomedical Imaging (IEEE ISBI), Athens, Greece, May 27-10, 2024
2024 Advisory Board Member, Sci, MDPI
2023 Technical Program Chair, 2023 6th Artificial Intelligence and Cloud Computing Conference (AICCC 2023), Kyoto, Japan, December 16-18, 2023
2023 Program Committee Chair, 2023 12th International Conference on Computing and Pattern Recognition (ICCPR 2023), Qingdao, China, October 27-29, 2023
2023 Area Chair, The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, CANADA, Oct 8-12, 2023
2023 Associate Editor, Theme 2, Biomedical Imaging & Image Processing, the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), Sydney, Australia, July 24-28, 2022
2023 International Advisory Committee, 2023 6th International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2023), Shanghai, China, July 7-9, 2023
2023 Associate Editor, IEEE International Symposium on Biomedical Imaging (IEEE ISBI), Cartagena de Indias, Colombia, April 18-21, 2023
2023 Advisory Committee Member, the 2023 7th International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2023), Kunming, China, February 24-26, 2023
2022 Technical Program Chair, 2022 5th Artificial Intelligence and Cloud Computing Conference (AICCC 2022), Osaka, Japan, December 17-19, 2022
2022 Co-Chair, Program Committee, 2022 11th International Conference on Computing and Pattern Recognition (ICCPR 2022), Beijing, China, October 21-23, 2022
2022 Associate Editor, Theme 2, Biomedical Imaging & Image Processing, the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), Glasgow, UK, July 11-15, 2022
2022 Program Chair, 2022 7th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2022), Tianjin, China, July 1-3, 2022
2022 Advisory Committee Member, 2022 6th International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2022), Shanghai, China, April 22-24, 2022
2021 Academic Committee member, International Coalition of Intelligent Manufacturing (ICIM), December, 2021
2021 International Advisory Committee Member, International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT-2021), November 26-27, 2021
2021 Associate Editor, Theme 2, Biomedical Imaging & Image Processing, the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), Guadalajara, Mexico, October, 2021
2021 Co-Chair, Program Committee, 2021 10th International Conference on Computing and Pattern Recognition (ICCPR 2021), Shanghai, China, October 15-17, 2021
2021 Associate Editor, 2021 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2021), Melbourne, Australia, October, 2021
2021 Program Chair, The 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR), Japan, August 16-20, 2021
2021 Associate Editor, IEEE International Symposium on Biomedical Imaging (IEEE ISBI), Nice, France, April, 2021