Prof. Kenji Suzuki
Professor at Tokyo Institute of Technology
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
Machine Learning , Medical Image Analysis , Computer-aided Diagnosis , Deep Learning , Computational Intelligence
Websites:
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 54. 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.
Publications (28)

Proceedings Article | 7 April 2023 Presentation + Paper
Proceedings Volume 12471, 124710P (2023) https://doi.org/10.1117/12.2652265
KEYWORDS: Fluorescence, Digital image correlation, Fluorescence imaging, Proteins, Artificial neural networks, Image segmentation, Optical microscopy

Proceedings Article | 6 July 2018 Paper
Junchi Liu, Amin Zarshenas , Syed Ammar Qadir, Limin Yang, Laurie Fajardo, Kenji Suzuki
Proceedings Volume 10718, 1071814 (2018) https://doi.org/10.1117/12.2317789
KEYWORDS: Digital breast tomosynthesis, Breast, Image quality, Mammography, Neural networks, Breast cancer, Image quality standards, Denoising, Convolution, Cancer, Machine learning, Radiation

Proceedings Article | 2 March 2018 Paper
Junchi Liu, Amin Zarshenas, Ammar Qadir, Zheng Wei, Limin Yang, Laurie Fajardo, Kenji Suzuki
Proceedings Volume 10574, 105740F (2018) https://doi.org/10.1117/12.2293125
KEYWORDS: Digital breast tomosynthesis, Breast, Image quality, Mammography, Breast cancer, Image quality standards, Image processing, Neural networks, Denoising, Cancer

Proceedings Article | 27 February 2018 Paper
Nazanin Makkinejad, Nima Tajbakhsh, Amin Zarshenas, Ashfaq Khokhar, Kenji Suzuki
Proceedings Volume 10575, 105753V (2018) https://doi.org/10.1117/12.2293679
KEYWORDS: Medical imaging, Feature extraction

Proceedings Article | 27 February 2018 Paper
Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido
Proceedings Volume 10575, 1057536 (2018) https://doi.org/10.1117/12.2293550
KEYWORDS: Opacity, Lung, Neural networks, Convolution, Computed tomography, Classification systems, Image classification, Image segmentation, Computer aided diagnosis and therapy, Algorithm development

Showing 5 of 28 publications
Conference Committee Involvement (24)
Image Processing
16 February 2025 | San Diego, California, United States
Computer-Aided Diagnosis
16 February 2025 | San Diego, California, United States
Computer-Aided Diagnosis
19 February 2024 | San Diego, California, United States
Image Processing
19 February 2024 | San Diego, California, United States
Computer-Aided Diagnosis
20 February 2023 | San Diego, California, United States
Showing 5 of 24 Conference Committees
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