Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow.

•A novel semi-supervised learning method is developed for apparent flow estimation.•Combining this flow with segmentation, motion-characteristic features are extracted.•An explainable and simple cardiac pathology classification model is proposed.