Schlegl, Thomas

1. Unsupervised Anomaly Detection with Generative Adversarial Networks to\n Guide Marker Discovery
   2017/03/17 by Thomas Schlegl, Schlegl, Thomas, Philipp Seeböck +7 · 53 citations
   Medicine · Computer Science · #Retinal Imaging and Analysis #Digital Imaging for Blood Diseases #AI in cancer detection
2. Identifying and Categorizing Anomalies in Retinal Imaging Data
   2016/12/02 by Seeböck, Philipp, Waldstein, Sebastian, Klimscha, Sophie +5 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)