Xin Yang

TL;DR: How far state-of-the-art deep learning methods can go at assessing CMRI, i.e., segmenting the myocardium and the two ventricles as well as classifying pathologies is measured, to open the door to highly accurate and fully automatic analysis of cardiac CMRI.

TL;DR: The proposed 3D DSN is capable of conducting volume‐to‐volume learning and inference, which can eliminate redundant computations and alleviate the risk of over‐fitting on limited training data, and the3D deep supervision mechanism can effectively cope with the optimization problem of gradients vanishing or exploding when training a 3D deep model.

TL;DR: In this article, the up-to-date research progresses of iron-mediated activation of persulfate and peroxymonosulfate mediated by these iron-based species in both homogeneous and heterogeneous ways are summarized and discussed.

TL;DR: Of the initial 16 compounds identified in the primary effluent, only sulfamethoxazole, primidone, caffeine and DEET were frequently detected in the final effluent; most of the other compounds were found at concentrations on the order of hundreds of ng/L.

TL;DR: Several popular deep learning architectures are briefly introduced, and their applications in various specific tasks in US image analysis, such as classification, detection, and segmentation are discussed.