Ayman M. Khalifa

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment

AASLD Practice Guideline on imaging-based noninvasive liver disease assessment of hepatic fibrosis and steatosis

Detecting liver fibrosis using a machine learning‐based approach to the quantification of the heart‐induced deformation in tagged MR images

A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images