Masoom Haider

Research Interests: AI, Body MRI, GU malignancy, Prostate, Radiomics

Currently our team is using machine learning and artificial intelligence methods combined with quantitative imaging biomarkers derived from radiomics to develop predictive and prognostic signatures from MRI and CT in prostate and pancreatic cancer. In prostate cancer, automated segmentation of the prostate and cancer sites on multiparametric MRI is being developed to aid in treatment planning and reproducible interpretation for precision medicine. In pancreatic cancer, a better understanding of radiologic pathologic correlates for non invasive assessment of the tumor microenvironment are being studied. A computational image analysis pipeline that incorporates the expertise of radiologists, pathologists and oncologists around medical imaging forms the core of the lab.