1. A method for detecting coronary stenosis in a cardiac computed tomography (CT) volume, comprising: obtaining at least one coronary artery centerline in said CT volume, said at least one coronary artery centerline comprising a plurality of control points; detecting stenosis regions along said at least one coronary artery centerline in said CT volume by classifying each of said plurality of control points as a stenosis point or a non-stenosis point using a trained machine learning based classifier; and displaying CT images with a visual indication of the control points classified as stenosis points.