Connecting Cloud-Based Personal Health Records with an XDS Affinity Domain to Provide Additional Information at the Point-of-Care. - Patrick Huber; Christoph Mitsch; Stefan W. Sabutsch; Ursula Schmidt-Erfurth (eHealth, 2014)

OphthalNet Vienna: Constructive Quality Assurance and Resource Optimization in Ophthalmology. - Christoph Mitsch; Matthias Bolz; Stefan Sacu; Clemens Vass; Christoph Scholda; Patrick Huber; Stefan W. Sabutsch; Ursula Schmidt-Erfurth (eHealth, 2014)

Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry. - Alessio Montuoro; Jing Wu 010; Sebastian M. Waldstein; Bianca S. Gerendas; Georg Langs; Christian Simader; Ursula Schmidt-Erfurth (MICCAI (2), 2014)

Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease. - Wolf-Dieter Vogl; Helmut Prosch; Christina Müller-Mang; Ursula Schmidt-Erfurth; Georg Langs (MICCAI (2), 2014)

Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices. - Jing Wu 010; Bianca S. Gerendas; Sebastian M. Waldstein; Christian Simader; Ursula Schmidt-Erfurth (Image Processing, 2014)

Impact of Electronic Health Records on the Completeness of Clinical Documentation Generated during Diabetic Retinopathy Consultations. - Christoph Mitsch; Patrick Huber; Katharina Kriechbaum; Christoph Scholda; Georg Duftschmid; Thomas Wrba; Ursula Schmidt-Erfurth (eHealth, 2015)

Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks. - Thomas Schlegl; Sebastian M. Waldstein; Wolf-Dieter Vogl; Ursula Schmidt-Erfurth; Georg Langs (IPMI, 2015)

Spatio-Temporal Signatures to Predict Retinal Disease Recurrence. - Wolf-Dieter Vogl; Sebastian M. Waldstein; Bianca S. Gerendas; Christian Simader; Ana-Maria Glodan; Dominika Podkowinski; Ursula Schmidt-Erfurth; Georg Langs (IPMI, 2015)

Rotation invariant eigenvessels and auto-context for retinal vessel detection. - Alessio Montuoro; Christian Simader; Georg Langs; Ursula Schmidt-Erfurth (Image Processing, 2015)

Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion. - Jing Wu 010; Sebastian M. Waldstein; Bianca S. Gerendas; Georg Langs; Christian Simader; Ursula Schmidt-Erfurth (Image Processing, 2015)

Clinical Decision Support for the Classification of Diabetic Retinopathy: A Comparison of Manual and Automated Results. - Christoph Mitsch; Karsten Fehre; Sonja Prager; Christoph Scholda; Katharina Kriechbaum; Thomas Wrba; Ursula Schmidt-Erfurth (eHealth, 2016)

Geodesic denoising for optical coherence tomography images. - Ehsan Shahrian Varnousfaderani; Wolf-Dieter Vogl; Jing Wu 010; Bianca S. Gerendas; Christian Simader; Georg Langs; Sebastian M. Waldstein; Ursula Schmidt-Erfurth (Image Processing, 2016)

Improve synthetic retinal OCT images with present of pathologies and textural information. - Ehsan Shahrian Varnousfaderani; Wolf-Dieter Vogl; Jing Wu 010; Bianca S. Gerendas; Christian Simader; Georg Langs; Sebastian M. Waldstein; Ursula Schmidt-Erfurth (Image Processing, 2016)

A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation. - Ehsan Shahrian Varnousfaderani; Jing Wu 010; Wolf-Dieter Vogl; Ana-Maria Philip; Alessio Montuoro; Roland Leitner; Christian Simader; Sebastian M. Waldstein; Bianca S. Gerendas; Ursula Schmidt-Erfurth (Comput. Methods Programs Biomed., 2016)

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)

Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease. - Jing Wu 010; Sebastian M. Waldstein; Alessio Montuoro; Bianca S. Gerendas; Georg Langs; Ursula Schmidt-Erfurth (Int. J. Biomed. Imaging, 2016)

Eyetracker-based gaze correction for robust mapping of population receptive fields. - Allan Hummer; Markus Ritter; Martin Tik; A. A. Ledolter; Michael Woletz; G. E. Holder; Serge O. Dumoulin; Ursula Schmidt-Erfurth; Christian Windischberger (NeuroImage, 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)

Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images. - Wolf-Dieter Vogl; Sebastian M. Waldstein; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Georg Langs (IEEE Trans. Medical Imaging, 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)

Artificial scotoma estimation based on population receptive field mapping. - Allan Hummer; Markus Ritter; Michael Woletz; A. A. Ledolter; Martin Tik; Serge O. Dumoulin; G. E. Holder; Ursula Schmidt-Erfurth; Christian Windischberger (NeuroImage, 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)

Deep Learning Based Multi-modal Registration for Retinal Imaging. - Mustafa Arikan; Amir Sadeghipour; Bianca S. Gerendas; Reinhard Told; Ursula Schmidt-Erfurth (iMIMIC/ML-CDS@MICCAI, 2019)

Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography. - Rhona Asgari; José Ignacio Orlando; Sebastian M. Waldstein; Ferdinand Schlanitz; Magdalena Baratsits; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (1), 2019)

U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography. - Rhona Asgari; Sebastian M. Waldstein; Ferdinand Schlanitz; Magdalena Baratsits; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (OMIA@MICCAI, 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)

An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. - José Ignacio Orlando; Anna Breger; Hrvoje Bogunovic; Sophie Riedl; Bianca S. Gerendas; Martin Ehler; Ursula Schmidt-Erfurth (OMIA@MICCAI, 2019)

Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning. - Antoine Rivail; Ursula Schmidt-Erfurth; Wolf-Dieter Vogl; Sebastian M. Waldstein; Sophie Riedl; Christoph Grechenig; Zhichao Wu; Hrvoje Bogunovic (PRIME@MICCAI, 2019)

On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (CoRR, 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)

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. - Hrvoje Bogunovic; Freerk G. Venhuizen; Sophie Klimscha; Stefanos Apostolopoulos; Alireza Bab-Hadiashar; Ulas Bagci; Mirza Faisal Beg; Loza Bekalo; Qiang Chen 004; Carlos Ciller; Karthik Gopinath; Amirali K. Gostar; et al. (IEEE Trans. Medical Imaging, 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)

On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (J. Math. Imaging Vis., 2020)

Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (J. Math. Imaging Vis., 2020)

End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging. - David Romo-Bucheli; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE J. Biomed. Health Informatics, 2020)

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)

Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography. - Osama N. Hassan; Martin J. Menten; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Andrew J. Lotery; Daniel Rueckert (ISBI, 2021)

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)

Combining stimulus types for improved coverage in population receptive field mapping. - David Linhardt; Maximilian Pawloff; Allan Hummer; Michael Woletz; Martin Tik; Markus Ritter; Ursula Schmidt-Erfurth; Christian Windischberger (NeuroImage, 2021)

Blood vessel segmentation in en-face OCTA images: a frequency based method. - Anna Breger; Felix Goldbach; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (Computer-Aided Diagnosis, 2022)

TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. - Taha Emre; Arunava Chakravarty; Antoine Rivail; Sophie Riedl; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (2), 2022)

SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors. - Botond Fazekas; Guilherme Aresta; Dmitry A. Lachinov; Sophie Riedl; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (8), 2022)

Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images. - Thomas Schlegl; Heiko Stino; Michael Niederleithner; Andreas Pollreisz; Ursula Schmidt-Erfurth; Wolfgang Drexler; Rainer A. Leitgeb; Tilman Schmoll (CoRR, 2022)

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)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. - 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 (OMIA@MICCAI, 2023)

Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. - 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; et al. (MICCAI (7), 2023)

Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation. - José Morano; Guilherme Aresta; Dmitry A. Lachinov; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (4), 2023)

Transformer-Based End-to-End Classification of Variable-Length Volumetric Data. - Marzieh Oghbaie; Teresa Araújo; Taha Emre; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (6), 2023)

Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration. - 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; et al. (CoRR, 2023)

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT. - 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 (CoRR, 2023)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT. - 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 (CoRR, 2023)

Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification. - Botond Fazekas; Dmitry A. Lachinov; Guilherme Aresta; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE J. Biomed. Health Informatics, 2023)

Ultra-Widefield OCT Angiography. - 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; et al. (IEEE Trans. Medical Imaging, 2023)

Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging. - Emese Sükei; Elisabeth Rumetshofer; Niklas Schmidinger; Andreas Mayr; Ursula Schmidt-Erfurth; Günter Klambauer; Hrvoje Bogunovic (ISBI, 2024)

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. - 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 (MICCAI (5), 2024)

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations. - Taha Emre; Arunava Chakravarty; Dmitry A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (12), 2024)

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. - 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 (MICCAI (11), 2024)

Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency. - Arunava Chakravarty; Taha Emre; Dmitrii A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MIDL, 2024)

Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps. - Guilherme Aresta; Teresa Araújo; Botond Fazekas; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE Access, 2024)

VLFATRollout: Fully transformer-based classifier for retinal OCT volumes. - Marzieh Oghbaie; Teresa Araújo; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (Comput. Medical Imaging Graph., 2024)

Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT. - Taha Emre; Arunava Chakravarty; Dmitrii A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2024)

Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4). - 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 (CoRR, 2024)

Specialist vision-language models for clinical ophthalmology. - 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; et al. (CoRR, 2024)

Metadata-enhanced contrastive learning from retinal optical coherence tomography images. - 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 (Medical Image Anal., 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)

Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data. - Dmitrii A. Lachinov; Arunava Chakravarty; Christoph Grechenig; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE Trans. Medical Imaging, 2024)

Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks. - José Morano; Guilherme Aresta; Christoph Grechenig; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE J. Biomed. Health Informatics, 2024)

Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes. - 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 (IEEE Trans. Medical Imaging, 2024)

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs. - 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; et al. (IEEE Trans. Medical Imaging, 2024)

Advancing OCT-Based Retinal Disease Classification with XLSTM: A Framework for Variable-Length Volume Processing. - Emese Sükei; Marzieh Oghbaie; Ursula Schmidt-Erfurth; Günter Klambauer; Hrvoje Bogunovic (ISBI, 2025)

SD-LayerNet: Robust and label-efficient retinal layer segmentation via anatomical priors. - Botond Fazekas; Guilherme Aresta; Dmitry A. Lachinov; Sophie Riedl; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (Comput. Methods Programs Biomed., 2025)

MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis. - José Morano; Botond Fazekas; Emese Sükei; Ronald Fecso; Taha Emre; Markus Gumpinger; Georg Faustmann; Marzieh Oghbaie; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2025)

RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models. - Ronald Fecso; José Morano; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2025)