Joe Xing Abstract Single image super-resolution (SISR) refers to the reconstruction from the corresponding low-resolution (LR) image input to a high-resolution (HR) image. However, since a single low-resolution image corresponds to multiple high-resolution images, this is an ill-posed problem. In recent years, generative model-based SISR methods have outperformed conventional SISR

Device Classification: Class II (21 CFR 886.1510). 510(k) Number (if known): K222484. Indications for Use (Describe): The Retitrack™ is intended for recording, viewing, measuring, and analyzing temporal characteristics of fixation and saccadic responses when viewing a visual stimulus. The Retitrack™ is intended for use by healthcare practitioners in healthcare settings

Yifan Zhang; Christy Sheehy; Min Zhang; Ethan Rossi; Ari Green; Joe Xing Abstract In recent years, deep learning (DL) has made breakthroughs in many fields. However, the success of DL requires constant re-training with large amounts of data, which is often costly, causing data paucity problems in the medical space. Active learning (AL), on the