  This paper reviewed the deep learning-based studies for medical imaging
synthesis and its clinical application. Specifically, we summarized the recent
developments of deep learning-based methods in inter- and intra-modality image
synthesis by listing and highlighting the proposed methods, study designs and
reported performances with related clinical applications on representative
studies. The challenges among the reviewed studies were summarized in the
discussion part.
