Deep Learning (DL) algorithm holds great potential in the field of stroke imaging. It has been
applied not only to the “downstream” side such as lesion detection, treatment decision
making, and outcome prediction, but also to the “upstream” side for generation and
enhancement of stroke imaging. This paper aims to comprehensively overview the common
applications of DL to stroke imaging. In the future, more standardized imaging datasets and
more extensive studies are needed to establish and validate the role of DL in stroke …