Wang Lab
Dr. Wang’s laboratory focuses on the intersection of machine learning and medical imaging. The lab develops and applies methods in machine learning, artificial intelligence, and data science to process and analyze medical images to understand the mechanisms of diseases and build diagnostic/predictive models.
Highlights
Biomarkers identified by interpretable ML model
Brain Age Prediction Pipeline
Predict overall survival in patients with metastatic prostate cancer
Pipeline of Alzheimer’s Disease Diagnosis
Pipeline flow chart of automatic LGN segmentation
Latest News
- Apr 01, 2026: Ruobing presents a poster on "Classifying Adolescent Drinking from Baseline Behavioural, Biological, and Environmental Features" at CoNDA Center Colloquium.
- Apr 01, 2026: Esther presents a poster on "Scalable AI for Fetal Ultrasound: Congenital Heart Disease Detection and Foundations for Downstream Prenatal Imaging Tasks" at CoNDA Center Colloquium.
- Apr 01, 2026: Ruobing presents a poster on "Semi-supervised Domain Adversarial Automated Segmentation Pipeline for the Bed Nucleus of the Stria Terminalis" at CoNDA Center Colloquium.
- Feb 26, 2026: A preprint version of our paper on "Early treatment outcome prediction in metastatic castration-resistant prostate cancer utilizing 3-month tumor growth rate (g-rate) based machine learning model" has been published in medRxiv (2026).
- Feb 24, 2026: A preprint version of our paper on "Classification of Adolescent Drinking via Behavioral, Biological, and Environmental Features: A Machine Learning Approach with Bias Control" has been published in medRxiv (2026).