Identifying and Categorizing Anomalies in Retinal Imaging Data. - Philipp Seeböck; Sebastian M. Waldstein; Sophie Klimscha; Bianca S. Gerendas; René Donner; Thomas Schlegl; Ursula Schmidt-Erfurth; Georg Langs (CoRR, 2016)

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. - Thomas Schlegl; Philipp Seeböck; Sebastian M. Waldstein; Ursula Schmidt-Erfurth; Georg Langs (IPMI, 2017)

Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. - Thomas Schlegl; Hrvoje Bogunovic; Sophie Klimscha; Philipp Seeböck; Amir Sadeghipour; Bianca S. Gerendas; Sebastian M. Waldstein; Georg Langs; Ursula Schmidt-Erfurth (CoRR, 2018)

U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. - José Ignacio Orlando; Philipp Seeböck; Hrvoje Bogunovic; Sophie Klimscha; Christoph Grechenig; Sebastian M. Waldstein; Bianca S. Gerendas; Ursula Schmidt-Erfurth (ISBI, 2019)

Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. - Philipp Seeböck; David Romo-Bucheli; Sebastian M. Waldstein; Hrvoje Bogunovic; José Ignacio Orlando; Bianca S. Gerendas; Georg Langs; Ursula Schmidt-Erfurth (ISBI, 2019)

Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. - Dominik Hofer; José Ignacio Orlando; Philipp Seeböck; Georgios Mylonas; Felix Goldbach; Amir Sadeghipour; Bianca S. Gerendas; Ursula Schmidt-Erfurth (OMIA@MICCAI, 2019)

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. - Thomas Schlegl; Philipp Seeböck; Sebastian M. Waldstein; Georg Langs; Ursula Schmidt-Erfurth (Medical Image Anal., 2019)

Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. - Philipp Seeböck; Sebastian M. Waldstein; Sophie Klimscha; Hrvoje Bogunovic; Thomas Schlegl; Bianca S. Gerendas; Rene Donner; Ursula Schmidt-Erfurth; Georg Langs (IEEE Trans. Medical Imaging, 2019)

Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. - Philipp Seeböck; José Ignacio Orlando; Thomas Schlegl; Sebastian M. Waldstein; Hrvoje Bogunovic; Sophie Klimscha; Georg Langs; Ursula Schmidt-Erfurth (IEEE Trans. Medical Imaging, 2020)

Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". - Philipp Seeböck; José Ignacio Orlando; Thomas Schlegl; Sebastian M. Waldstein; Hrvoje Bogunovic; Sophie Klimscha; Georg Langs; Ursula Schmidt-Erfurth (IEEE Trans. Medical Imaging, 2020)

Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. - Dmitrii A. Lachinov; Philipp Seeböck; Julia Mai; Felix Goldbach; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (1), 2021)

Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. - Dmitrii A. Lachinov; Philipp Seeböck; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2021)

Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning. - Simon Schürer-Waldheim; Philipp Seeböck; Hrvoje Bogunovic; Bianca S. Gerendas; Ursula Schmidt-Erfurth (IEEE J. Biomed. Health Informatics, 2022)

Detection of Emerging Infectious Diseases in Lung CT Based on Spatial Anomaly Patterns. - Branko Mitic; Philipp Seeböck; Jennifer Straub; Helmut Prosch; Georg Langs (MLMI@MICCAI (2), 2024)

Rigid Single-Slice-in-Volume Registration via Rotation-Equivariant 2D/3D Feature Matching. - Stefan Brandstätter; Philipp Seeböck; Christoph Fürböck; Svitlana Pochepnia; Helmut Prosch; Georg Langs (WBIR, 2024)

Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. - Philipp Seeböck; José Ignacio Orlando; Martin Michl; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (Medical Image Anal., 2024)

Cardiovascular disease classification using radiomics and geometric features from cardiac CT. - Ajay Mittal; Raghav Mehta; Omar Todd; Philipp Seeböck; Georg Langs; Ben Glocker (CoRR, 2025)