Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data

31 October 2018

Papers citing "Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data"

8 / 8 papers shown

Title
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 108 2,231 0 17 Mar 2017
Identifying and Categorizing Anomalies in Retinal Imaging Data Philipp Seeböck S. Waldstein S. Klimscha Bianca S. Gerendas R. Donner T. Schlegl U. Schmidt-Erfurth Georg Langs MedIm 72 53 0 02 Dec 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 300 5,532 0 23 Nov 2015
Stacked What-Where Auto-encoders Jiaqi Zhao Michaël Mathieu Ross Goroshin Yann LeCun DiffM BDL 62 258 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,360 0 04 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 169 2,789 0 19 May 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 480 43,685 0 17 Sep 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 87 1,022 0 26 Jun 2014