Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Mathematical Biology Tumor Growth, and Glioma Diagnosis and Treatment.
Tackling the next decade of cancer research
Demographic bias in misdiagnosis by computational pathology models
Algorithmic fairness in artificial intelligence for medicine and healthcare
The Liver Tumor Segmentation Benchmark (LiTS)
Artificial intelligence for multimodal data integration in oncology
Pan-cancer integrative histology-genomic analysis via multimodal deep learning
Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling
CXCR4-Targeted PET Imaging of Central Nervous System B-Cell Lymphoma
Predicting Glioblastoma Recurrence from Preoperative MR Scans Using Fractional-Anisotropy Maps with Free-Water Suppression