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Kenji Suzuki

Kenji Suzuki, Associate Professor of Electrical and Computer Engineering at Armour College of Engineering and pioneer in the field of deep learning in medical imaging, was asked to provide comments on the current status and future perspectives of the field. His comments were included in the article “Deep learning poised to revolutionise diagnostic imaging” in one of the most prestigious journals in medicine, The Lancet Respiratory Medicine (Impact factor: 19.287).

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Kenji Suzuki, Associate Professor of Electrical and Computer Engineering at Armour College of Engineering, accepted an invitation to serve as a member of the National Cancer Institute Special Emphasis Panel, Center for Scientific Review, National Institutes of Health (NIH). In this role, Dr. Suzuki will contribute to biomedical research on a national level by reviewing grant applications submitted to the NIH and making recommendations on the applications to the NIH national advisory council or board.

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Kenji Suzuki, Associate Professor of Electrical and Computer Engineering at Armour College of Engineering, was invited as a Guest Editor for a Special Issue of the prestigious journal, Pattern Recognition (Impact factor: 3.4). This is the official journal of Pattern Recognition Society and the special issue focused on Machine Learning in Medical Imaging.

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Kenji Suzuki, Associate Professor of Electrical and Computer Engineering at Armour College of Engineering was invited and named an Associate Editor of the prestigious journal, Pattern Recognition (Impact factor: 3.4). The journal is the official journal of the Pattern Recognition Society and has been the leading journal in the field of pattern recognition since it's founding in 1968.

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