Context-encoding Variational Autoencoder for Unsupervised Anomaly
Detection

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

14 December 2018

Simon A. A. Kohl

Klaus H. Maier-Hein

Papers citing "Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection"

19 / 19 papers shown

Title
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 69 10 0 07 Dec 2023
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients David Zimmerer Jens Petersen Simon A. A. Kohl Klaus H. Maier-Hein DRL 44 22 0 28 Nov 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 50 214 0 06 Feb 2019
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 57 756 0 22 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 123 1,963 0 08 Oct 2018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution Rosanne Liu Joel Lehman Piero Molino F. Such Eric Frank Alexander Sergeev J. Yosinski 71 889 0 09 Jul 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging Xiaoran Chen Nick Pawlowski Martin Rajchl Ben Glocker E. Konukoglu OOD MedIm 42 49 0 14 Jun 2018
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders Xiaoran Chen E. Konukoglu MedIm 59 264 0 13 Jun 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab UQCV MedIm 52 442 0 12 Apr 2018
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos Dilip Ravi Kiran Mathew Thomas Ranjith Parakkal 64 448 0 09 Jan 2018
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 199 2,221 0 12 Jun 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 94 2,225 0 17 Mar 2017
Detecting Cancer Metastases on Gigapixel Pathology Images Yun-Hui Liu Krishna Gadepalli Mohammad Norouzi George E. Dahl Timo Kohlberger ... Phil Q. Nelson G. Corrado J. Hipp L. Peng Martin C. Stumpe MedIm LM&MA 65 641 0 03 Mar 2017
Learning Hierarchical Features from Generative Models Shengjia Zhao Jiaming Song Stefano Ermon BDL GAN OOD DRL 36 74 0 27 Feb 2017
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,287 0 25 Apr 2016
Breaking the Curse of Dimensionality with Convex Neural Networks Francis R. Bach 172 706 0 30 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 236 4,665 0 21 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 426 16,944 0 20 Dec 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 64 501 0 18 Nov 2012