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Zongwei Zhou

Zongwei Zhou, PhD

Assistant Research Scientist
Department of Computer Science
Johns Hopkins University, Baltimore, MD
 

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 at Johns Hopkins University. He received his Ph.D. in Biomedical Informatics at Arizona State University in 2021. 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 seven U.S. patents, Zongwei has published over 30 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

Recent News​​

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

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

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