Identifying and Categorizing Anomalies in Retinal Imaging Data

Identifying and Categorizing Anomalies in Retinal Imaging Data

2 December 2016

Philipp Seeböck

Bianca S. Gerendas

U. Schmidt-Erfurth

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Papers citing "Identifying and Categorizing Anomalies in Retinal Imaging Data"

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Title
Restricted Generative Projection for One-Class Classification and Anomaly Detection Feng Xiao Ruoyu Sun Jicong Fan UQCV 78 2 0 09 Jul 2023
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Ziyi Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 119 67 0 05 Dec 2022
Progressive GANomaly: Anomaly detection with progressively growing GANs Djennifer K. Madzia-Madzou Hugo J. Kuijf MedIm 45 2 0 08 Jun 2022
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization Ye Zheng Xiang Wang Rui Deng Tianpeng Bao Rui Zhao Liwei Wu OOD 83 65 0 09 Oct 2021
Multi-Perspective Anomaly Detection Peter Jakob M. Madan Tobias Schmid-Schirling Abhinav Valada 26 13 0 20 May 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 99 790 0 08 Apr 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 94 227 0 07 Mar 2021
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation Raunak Dey Yi Hong 57 19 0 05 Mar 2021
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 113 91 0 30 May 2020
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder Natasa Sarafijanovic-Djukic Jesse Davis 77 25 0 12 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 104 167 0 28 Feb 2020
An Alarm System For Segmentation Algorithm Based On Shape Model Fengze Liu Yingda Xia Ke Wang Alan Yuille Daguang Xu 65 22 0 26 Mar 2019
Robust Image Segmentation Quality Assessment Leixin Zhou Wenxiang Deng Xiaodong Wu 70 8 0 20 Mar 2019
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data Philipp Seeböck S. Waldstein S. Klimscha Hrvoje Bogunović T. Schlegl Bianca S. Gerendas R. Donner U. Schmidt-Erfurth Georg Langs 69 81 0 31 Oct 2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN Swee Kiat Lim Yi Loo Ngoc-Trung Tran Ngai-Man Cheung Gemma Roig Yuval Elovici 46 117 0 23 Aug 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab UQCV MedIm 57 443 0 12 Apr 2018
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 119 2,237 0 17 Mar 2017