Area of research
Cancer Research · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Cancer, Hypoxia, and Metabolism, Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, and AI in cancer detection.
Protein codes promote selective subcellular compartmentalization
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography
Distinct chemical environments in biomolecular condensates
Optimizing risk-based breast cancer screening policies with reinforcement learning
Toward robust mammography-based models for breast cancer risk
Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model