Philipp Seeböck

35 papers Journal 25Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases. CoRR Clemens Watzenböck, Daniel Aletaha, Michaël Deman, Thomas Deimel, Jana Eder, Ivana Janícková, Robert Janiczek, Peter Mandl, Philipp Seeböck, Gabriela Supp, Paul Weiser, Georg Langs
2026	J	`jnl`	SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCT. IEEE Trans. Medical Imaging Botond Fazekas, Guilherme Aresta, Philipp Seeböck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025	—	`conf`	AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring. MLMI@MICCAI Branko Mitic, Philipp Seeböck, Helmut Prosch, Georg Langs
2025	J	`jnl`	AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring. CoRR Branko Mitic, Philipp Seeböck, Helmut Prosch, Georg Langs
2025	J	`jnl`	Cardiovascular disease classification using radiomics and geometric features from cardiac CT. CoRR Ajay Mittal, Raghav Mehta, Omar Todd, Philipp Seeböck, Georg Langs, Ben Glocker
2025	—	`conf`	Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery. AMAI@MICCAI Jeanny Pan, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Jennifer Straub, Lucian Beer, Helmut Prosch, Georg Langs
2025	J	`jnl`	Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery. CoRR Jeanny Pan, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Jennifer Straub, Lucian Beer, Helmut Prosch, Georg Langs
2025	—	`conf`	LesiOnTime - Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI. Deep-Breath@MICCAI Mohammed Kamran, Maria Bernathova, Raoul Varga, Christian F. Singer, Zsuzsanna Bago-Horvath, Thomas H. Helbich, Georg Langs, Philipp Seeböck
2025	J	`jnl`	LesiOnTime - Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI. CoRR Mohammed Kamran, Maria Bernathova, Raoul Varga, Christian F. Singer, Zsuzsanna Bago-Horvath, Thomas H. Helbich, Georg Langs, Philipp Seeböck
2025	J	`jnl`	No Modality Left Behind: Dynamic Model Generation for Incomplete Medical Data. CoRR Christoph Fürböck, Paul Weiser, Branko Mitic, Philipp Seeböck, Thomas H. Helbich, Georg Langs
2025	J	`jnl`	SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCT. CoRR Botond Fazekas, Guilherme Aresta, Philipp Seeböck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025	J	`jnl`	Semantic Mosaicing of Histo-Pathology Image Fragments using Visual Foundation Models. CoRR Stefan Brandstätter, Maximilian Köller, Philipp Seeböck, Alissa Blessing, Felicitas Oberndorfer, Svitlana Pochepnia, Helmut Prosch, Georg Langs
2024	J	`jnl`	Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. Medical Image Anal. Philipp Seeböck, José Ignacio Orlando, Martin Michl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	—	`conf`	Detection of Emerging Infectious Diseases in Lung CT Based on Spatial Anomaly Patterns. MLMI@MICCAI (2) Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs
2024	J	`jnl`	Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns. CoRR Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs
2024	—	`conf`	Rigid Single-Slice-in-Volume Registration via Rotation-Equivariant 2D/3D Feature Matching. WBIR Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Helmut Prosch, Georg Langs
2024	J	`jnl`	Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching. CoRR Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Helmut Prosch, Georg Langs
2022	J	`jnl`	Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning. IEEE J. Biomed. Health Informatics Simon Schürer-Waldheim, Philipp Seeböck, Hrvoje Bogunovic, Bianca S. Gerendas, Ursula Schmidt-Erfurth
2021	—	`conf`	Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. MICCAI (1) Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Felix Goldbach, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2021	J	`jnl`	Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. CoRR Dmitrii A. Lachinov, Philipp Seeböck, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2020	J	`jnl`	Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". IEEE Trans. Medical Imaging Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth
2020	J	`jnl`	Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. IEEE Trans. Medical Imaging Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth
2019	J	`jnl`	Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. CoRR Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth
2019	—	`conf`	Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. OMIA@MICCAI Dominik Hofer, José Ignacio Orlando, Philipp Seeböck, Georgios Mylonas, Felix Goldbach, Amir Sadeghipour, Bianca S. Gerendas, Ursula Schmidt-Erfurth
2019	—	`conf`	U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. ISBI José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
2019	J	`jnl`	U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. CoRR José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
2019	J	`jnl`	Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. IEEE Trans. Medical Imaging Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs
2019	J	`jnl`	Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation. CoRR Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
2019	—	`conf`	Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. ISBI Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
2019	J	`jnl`	f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. Medical Image Anal. Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth
2018	J	`jnl`	Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. CoRR Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth
2018	J	`jnl`	Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. CoRR Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs
2017	—	`conf`	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. IPMI Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs
2017	J	`jnl`	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. CoRR Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs
2016	J	`jnl`	Identifying and Categorizing Anomalies in Retinal Imaging Data. CoRR Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs