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 Scientist in the Department of Computer Science in the Whiting School of Engineering at the Johns Hopkins University. He is a member of the Malone Center For Engineering in Healthcare. Zongwei received his Ph.D. in Biomedical Informatics at Arizona State University in 2021, where he was honored with the President’s Award for Innovation. His research focuses on developing novel methods to reduce the annotation efforts for computer-aided detection and diagnosis. Zongwei received the AMIA Doctoral Dissertation Award in 2022, the Elsevier-MedIA Best Paper Award in 2020, and the MICCAI Young Scientist Award in 2019. In addition to 10 U.S. patents, Zongwei has published over 60 peer-reviewed journal/conference articles, two of which have been ranked among the most popular articles in IEEE TMI and the highest-cited article in EJNMMI Research. He was named the top 2% of Scientists released by Stanford University in 2022-2024. ORCiD: 0000-0002-3154-9851
Current Research: Scaling Annotations, Data Synthesis, and Innovative Algorithms for Medical Image Analysis
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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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
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One paper was accepted to NeurIPS 2024 | Sep 2024
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12 abstracts (5/12 oral) were accepted to RSNA 2024 | Sep 2024
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Two papers were accepted to Medical Image Analysis | May 2024
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 Scientist | May 2024-present
Johns Hopkins University
Group: Computational Cognition, Vision, and Learning (CCVL)
Postdoctoral Researcher | June 2021-May 2024
Johns Hopkins University
Group: Computational Cognition, Vision, and Learning (CCVL)
Projects: Detect signs of pancreatic cancer in CT scans earlier and with more accuracy than humans​
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
