Ursula Schmidt-Erfurth

104 papers B 5Journal 66Unranked 33
YearRankTypeTitle / Venue / Authors
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
Advancing OCT-Based Retinal Disease Classification with XLSTM: A Framework for Variable-Length Volume Processing.
ISBI
Emese Sükei, Marzieh Oghbaie, Ursula Schmidt-Erfurth, Günter Klambauer, Hrvoje Bogunovic
2025 J jnl
MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis.
CoRR
José Morano, Botond Fazekas, Emese Sükei, Ronald Fecso, Taha Emre, Markus Gumpinger, Georg Faustmann, Marzieh Oghbaie, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025 J jnl
Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis.
npj Digit. Medicine
José Morano, Botond Fazekas, Emese Sükei, Ronald Fecso, Taha Emre, Markus Gumpinger, Georg Faustmann, Marzieh Oghbaie, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025 J jnl
Quality assessment of optical coherence tomography angiography images with Relative-distance-based Patch Distribution Modeling (R-PaDiM).
Comput. Methods Programs Biomed.
Meltem Esengönül, Teresa Araújo, Natasa Jeremic, Azin Zarghami, Hrvoje Bogunovic, Ursula Schmidt-Erfurth
2025 — conf
RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models.
MICCAI (5)
Ronald Fecso, José Morano, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025 J jnl
RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models.
CoRR
Ronald Fecso, José Morano, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2025 J jnl
SD-LayerNet: Robust and label-efficient retinal layer segmentation via anatomical priors.
Comput. Methods Programs Biomed.
Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
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
Specialized curricula for training vision language models in retinal image analysis.
npj Digit. Medicine
Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, Toby Prevost, Lars Fritsche, Kristina Pfau, Maximilian Pfau
2025 J jnl
Stochastic Siamese MAE Pretraining for Longitudinal Medical Images.
CoRR
Taha Emre, Arunava Chakravarty, Thomas Pinetz, Dmitry A. Lachinov, Martin J. Menten, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Stefan Sacu, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs.
IEEE Trans. Medical Imaging
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitry A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
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 J jnl
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks.
IEEE J. Biomed. Health Informatics
José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks.
CoRR
José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4).
CoRR
Robbie Holland, Rebecca Kaye, Ahmed M. Hagag, Oliver Leingang, Thomas R. P. Taylor, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Daniel Rueckert, Andrew J. Lotery, Sobha Sivaprasad, Martin J. Menten
2024 — conf
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
MICCAI (5)
Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
CoRR
Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging.
ISBI
Emese Sükei, Elisabeth Rumetshofer, Niklas Schmidinger, Andreas Mayr, Ursula Schmidt-Erfurth, Günter Klambauer, Hrvoje Bogunovic
2024 J jnl
Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps.
IEEE Access
Guilherme Aresta, Teresa Araújo, Botond Fazekas, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data.
IEEE Trans. Medical Imaging
Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.
MICCAI (12)
Taha Emre, Arunava Chakravarty, Dmitry A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
Medical Image Anal.
Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2024 J jnl
Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes.
IEEE Trans. Medical Imaging
Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency.
MIDL
Arunava Chakravarty, Taha Emre, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 — conf
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series.
MICCAI (11)
Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland
2024 J jnl
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series.
CoRR
Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland
2024 J jnl
Specialist vision-language models for clinical ophthalmology.
CoRR
Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten
2024 J jnl
Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT.
CoRR
Taha Emre, Arunava Chakravarty, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024 J jnl
VLFATRollout: Fully transformer-based classifier for retinal OCT volumes.
Comput. Medical Imaging Graph.
Marzieh Oghbaie, Teresa Araújo, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
CoRR
Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitrii A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
MICCAI (7)
Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Rebecca Kaye, Sophie Riedl, Johannes C. Paetzold, Ivan Ezhov, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2023 J jnl
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration.
CoRR
Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Johannes C. Paetzold, Rebecca Kaye, Sophie Riedl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Lars Fritsche, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
2023 J jnl
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.
CoRR
Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT.
CoRR
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
OMIA@MICCAI
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification.
IEEE J. Biomed. Health Informatics
Botond Fazekas, Dmitry A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation.
MICCAI (4)
José Morano, Guilherme Aresta, Dmitry A. Lachinov, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation.
CoRR
José Morano, Guilherme Aresta, Dmitrii A. Lachinov, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 — conf
Transformer-Based End-to-End Classification of Variable-Length Volumetric Data.
MICCAI (6)
Marzieh Oghbaie, Teresa Araújo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
Transformer-based end-to-end classification of variable-length volumetric data.
CoRR
Marzieh Oghbaie, Teresa Araujo, Taha Emre, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023 J jnl
Ultra-Widefield OCT Angiography.
IEEE Trans. Medical Imaging
Michael Niederleithner, Luis de Sisternes, Heiko Stino, Aleksandra Sedova, Thomas Schlegl, Homayoun Bagherinia, Anja Britten, Philipp Matten, Ursula Schmidt-Erfurth, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
2022 — conf
Blood vessel segmentation in en-face OCTA images: a frequency based method.
Computer-Aided Diagnosis
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2022 J jnl
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images.
CoRR
Thomas Schlegl, Heiko Stino, Michael Niederleithner, Andreas Pollreisz, Ursula Schmidt-Erfurth, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
2022 J jnl
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data.
CoRR
Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 J jnl
Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
CoRR
Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
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
2022 — conf
SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.
MICCAI (8)
Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 J jnl
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors.
CoRR
Botond Fazekas, Guilherme Aresta, Dmitrii A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 J jnl
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification.
CoRR
Botond Fazekas, Dmitrii A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 J jnl
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.
CoRR
Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022 — conf
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.
MICCAI (2)
Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2021 J jnl
Blood vessel segmentation in en-face OCTA images: a frequency based method.
CoRR
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2021 J jnl
Combining stimulus types for improved coverage in population receptive field mapping.
NeuroImage
David Linhardt, Maximilian Pawloff, Allan Hummer, Michael Woletz, Martin Tik, Markus Ritter, Ursula Schmidt-Erfurth, Christian Windischberger
2021 — conf
Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography.
ISBI
Osama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew J. Lotery, Daniel Rueckert
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
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.
J. Math. Imaging Vis.
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2020 J jnl
End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging.
IEEE J. Biomed. Health Informatics
David Romo-Bucheli, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
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
2020 J jnl
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.
J. Math. Imaging Vis.
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2019 — conf
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.
OMIA@MICCAI
José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
2019 J jnl
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans.
CoRR
José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
2019 — conf
Deep Learning Based Multi-modal Registration for Retinal Imaging.
iMIMIC/ML-CDS@MICCAI
Mustafa Arikan, Amir Sadeghipour, Bianca S. Gerendas, Reinhard Told, 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 J jnl
Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning.
CoRR
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic
2019 — conf
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning.
PRIME@MICCAI
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic
2019 — conf
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography.
MICCAI (1)
Rhona Asgari, José Ignacio Orlando, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2019 J jnl
Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography.
CoRR
Rhona Asgari, José Ignacio Orlando, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2019 J jnl
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.
CoRR
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
2019 J jnl
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.
IEEE Trans. Medical Imaging
Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth
2019 — conf
U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography.
OMIA@MICCAI
Rhona Asgari, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2019 J jnl
U-Net with spatial pyramid pooling for drusen segmentation in optical coherence tomography.
CoRR
Rhona Asgari, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
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
Artificial scotoma estimation based on population receptive field mapping.
NeuroImage
Allan Hummer, Markus Ritter, Michael Woletz, A. A. Ledolter, Martin Tik, Serge O. Dumoulin, G. E. Holder, Ursula Schmidt-Erfurth, Christian Windischberger
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 J jnl
Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging
Wolf-Dieter Vogl, Sebastian M. Waldstein, Bianca S. Gerendas, 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
A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation.
Comput. Methods Programs Biomed.
Ehsan Shahrian Varnousfaderani, Jing Wu, Wolf-Dieter Vogl, Ana-Maria Philip, Alessio Montuoro, Roland Leitner, Christian Simader, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
2016 J jnl
Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease.
Int. J. Biomed. Imaging
Jing Wu, Sebastian M. Waldstein, Alessio Montuoro, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
2016 — conf
Clinical Decision Support for the Classification of Diabetic Retinopathy: A Comparison of Manual and Automated Results.
eHealth
Christoph Mitsch, Karsten Fehre, Sonja Prager, Christoph Scholda, Katharina Kriechbaum, Thomas Wrba, Ursula Schmidt-Erfurth
2016 J jnl
Eyetracker-based gaze correction for robust mapping of population receptive fields.
NeuroImage
Allan Hummer, Markus Ritter, Martin Tik, A. A. Ledolter, Michael Woletz, G. E. Holder, Serge O. Dumoulin, Ursula Schmidt-Erfurth, Christian Windischberger
2016 B conf
Geodesic denoising for optical coherence tomography images.
Image Processing
Ehsan Shahrian Varnousfaderani, Wolf-Dieter Vogl, Jing Wu, Bianca S. Gerendas, Christian Simader, Georg Langs, Sebastian M. Waldstein, Ursula Schmidt-Erfurth
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
2016 B conf
Improve synthetic retinal OCT images with present of pathologies and textural information.
Image Processing
Ehsan Shahrian Varnousfaderani, Wolf-Dieter Vogl, Jing Wu, Bianca S. Gerendas, Christian Simader, Georg Langs, Sebastian M. Waldstein, Ursula Schmidt-Erfurth
2015 B conf
Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion.
Image Processing
Jing Wu, Sebastian M. Waldstein, Bianca S. Gerendas, Georg Langs, Christian Simader, Ursula Schmidt-Erfurth
2015 — conf
Impact of Electronic Health Records on the Completeness of Clinical Documentation Generated during Diabetic Retinopathy Consultations.
eHealth
Christoph Mitsch, Patrick Huber, Katharina Kriechbaum, Christoph Scholda, Georg Duftschmid, Thomas Wrba, Ursula Schmidt-Erfurth
2015 — conf
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.
IPMI
Thomas Schlegl, Sebastian M. Waldstein, Wolf-Dieter Vogl, Ursula Schmidt-Erfurth, Georg Langs
2015 B conf
Rotation invariant eigenvessels and auto-context for retinal vessel detection.
Image Processing
Alessio Montuoro, Christian Simader, Georg Langs, Ursula Schmidt-Erfurth
2015 — conf
Spatio-Temporal Signatures to Predict Retinal Disease Recurrence.
IPMI
Wolf-Dieter Vogl, Sebastian M. Waldstein, Bianca S. Gerendas, Christian Simader, Ana-Maria Glodan, Dominika Podkowinski, Ursula Schmidt-Erfurth, Georg Langs
2014 B conf
Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices.
Image Processing
Jing Wu, Bianca S. Gerendas, Sebastian M. Waldstein, Christian Simader, Ursula Schmidt-Erfurth
2014 — conf
Connecting Cloud-Based Personal Health Records with an XDS Affinity Domain to Provide Additional Information at the Point-of-Care.
eHealth
Patrick Huber, Christoph Mitsch, Stefan W. Sabutsch, Ursula Schmidt-Erfurth
2014 — conf
Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease.
MICCAI (2)
Wolf-Dieter Vogl, Helmut Prosch, Christina Müller-Mang, Ursula Schmidt-Erfurth, Georg Langs
2014 — conf
Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry.
MICCAI (2)
Alessio Montuoro, Jing Wu, Sebastian M. Waldstein, Bianca S. Gerendas, Georg Langs, Christian Simader, Ursula Schmidt-Erfurth
2014 — conf
OphthalNet Vienna: Constructive Quality Assurance and Resource Optimization in Ophthalmology.
eHealth
Christoph Mitsch, Matthias Bolz, Stefan Sacu, Clemens Vass, Christoph Scholda, Patrick Huber, Stefan W. Sabutsch, Ursula Schmidt-Erfurth