Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging

14 June 2018

Papers citing "Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging"

6 / 6 papers shown

Title
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI Ziyun Liang Harry Anthony Felix Wagner Konstantinos Kamnitsas DiffM MedIm 19 9 0 30 Aug 2023
Deep Generative Models for Physiological Signals: A Systematic Literature Review Nour Neifar Afef Mdhaffar A. Ben-Hamadou M. Jmaiel MedIm 27 4 0 12 Jul 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation Johanna P. Müller Matthew Baugh Jeremy Tan Mischa Dombrowski Bernhard Kainz UQCV OOD 16 4 0 23 Mar 2023
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 41 17 0 30 Jun 2021
Unsupervised Anomaly Localization using Variational Auto-Encoders David Zimmerer Fabian Isensee Jens Petersen Simon A. A. Kohl Klaus Maier-Hein DRL 25 132 0 04 Jul 2019
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection David Zimmerer Simon A. A. Kohl Jens Petersen Fabian Isensee Klaus H. Maier-Hein DRL 19 128 0 14 Dec 2018