Prof. Kenji Suzuki

Individual Member | Professor at Tokyo Institute of Technology
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SPIE Membership: 8.1 years
SPIE Awards: 2020 SPIE Community Champion | 2019 SPIE Community Champion
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Area of Expertise: Machine Learning, Medical Image Analysis, Computer-aided Diagnosis, Deep Learning, Computational Intelligence
Websites: Company Website
Social Media: LinkedIn
ORCID iD: https://orcid.org/0000-0002-3993-8309
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Profile Summary

Kenji Suzuki, Ph.D. (Nagoya University) worked at Hitachi Medical Corp, Aichi Prefectural University, Japan, as a faculty member, in Department of Radiology, University of Chicago, as Assistant Professor, Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor (Tenured), and Institute of Innovative Research, Tokyo Institute of Technology, Japan, as Professor (Specially Appointed). He published more than 340 papers (including 115 peer-reviewed journal papers). He has been actively studying deep learning in medical imaging and AI-aided diagnosis in the past 25 years, especially his early deep-learning model was proposed in 1994. His papers were cited 13,000 times, and his h-index is 52. He is inventor on 36 patents (including ones of earliest deep-learning patents), which were licensed to several companies and commercialized. He published 14 books and edited 12 journal special issues. He was awarded a number of grants including NIH, NEDO, and JST, totaling $17M. He served as Editors of a number of leading international journals including Pattern Recognition. He chaired 98 international conferences. He received 20 awards, including 3 Best Paper Awards in leading journals.

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