Email: zzhou82@jh.edu
Tel: 1-(480)738-2575
Office: 248 Malone Hall, Johns Hopkins University, Baltimore, MD
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Overview
Zongwei Zhou is an Assistant Research Professor in the Department of Computer Science at Johns Hopkins University and a member of the Malone Center for Engineering in Healthcare. His research focuses on medical computer vision and language models for cancer detection, diagnosis, and treatment.
He is best known for developing UNet++, a widely adopted segmentation architecture cited nearly 15,000 times since its publication in 2019. He currently serves as PI on an NIH–NIBIB R01 grant ($2.8M, top 1.0 percentile). His work has earned multiple honors, including the AMIA Doctoral Dissertation Award, Elsevier–MedIA Best Paper Award, and MICCAI Young Scientist Award.
Dr. Zhou also received the President’s Award for Innovation, the highest honor for graduate students at Arizona State University, and has been recognized among the Top 2% of Scientists Worldwide every year since 2022.
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ORCiD: 0000-0002-3154-9851
Current Research: Scaling Annotations, Data Synthesis, and Innovative Algorithms for Medical Image Analysis
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Awards and Honors
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Principal Investigator, NIH R01 Grant ($2.8M), 2025-2029 | June 2025
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President's Awards for Innovation, Arizona State University | Oct 2024
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Co-Investigator, Lustgarten Foundation ($1.9M), 2023-2028 | May 2023
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Co-Investigator, Patrick J. McGovern Foundation ($400K), 2023-2025 | May 2023
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AMIA Doctoral Dissertation Award | Nov 2022
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Top 2% Scientists Worldwide, Stanford University | Nov 2022, 2023, 2024
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MICCAI Young Scientist Publication Impact Award Finalist | Sep 2022
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Elsevier-MedIA Best Paper Award | Oct 2020
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Graduate Fellowship, Arizona State University | Mar 2020
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MICCAI Young Scientist Award | Oct 2019
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MICCAI Best Presentation Award Finalist | Oct 2019
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Outstanding Graduate, Dalian University of Technology | June 2016
Recent News​​
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Short-listed for MICCAI 2025 Best Paper and Young Scientist Awards | Aug 2025
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18 abstracts (8/18 oral) were accepted to RSNA 2025 | July 2025
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Four papers were accepted to ICCV 2025 | June 2025
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One paper was accepted to MICCAI 2025 | June 2025
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Two papers were accepted to ISBI 2025 | Jan 2025
Education
Ph.D. | Aug 2017-May 2021
Arizona State University
Biomedical Informatics
Towards Annotation-Efficient Deep Learning for Computer-Aided Diagnosis
AMIA Doctoral Dissertation Award
President's Awards for Innovation
Advised by Dr. Jianming Liang
> View Dissertation > View LaTeX > View Talk > View Slides > View Transcript​
B.S. | Sep 2012-Jul 2016
Dalian University of Technology
Computer Science
Medical image classification based on deep learning
Advised by Dr. Hongkai Wang
> View Dissertation > View Slides​
Experience
Assistant Research Professor | Oct 2025-
Assistant Research Scientist | May 2024-Sep 2025
Postdoctoral Researcher | June 2021-May 2024
Johns Hopkins University
Group: Computational Cognition, Vision, and Learning (CCVL)
Research Internship | Jan 2018-July 2018
Centre Hospitalier de l’Université de Montréal
Group: Laboratoire clinique de traitement de l’image (LCTI)
Projects: Predictive model of colorectal cancer liver metastases response to chemotherapy
Joint collaboration: Imagia and MILA​
Research Internship | June 2017-Jul 2017
Mayo Clinic, Rochester MN
Group: Radiology Informatics Lab
Projects: Thyroid Ultrasound Imaging, Tumor Radiogenomics
