Denoising of Time-Density Data in Digital Subtraction Angiography. - Hrvoje Bogunovic; Sven Loncaric (SCIA, 2005)

Blood Flow and Velocity Estimation Based on Vessel Transit Time by Combining 2D and 3D X-Ray Angiography. - Hrvoje Bogunovic; Sven Loncaric (MICCAI (2), 2006)

Image intensity standardization in 3D rotational angiography and its application to vascular segmentation. - Hrvoje Bogunovic; Alessandro G. Radaelli; Mathieu De Craene; David Delgado-Gómez; Alejandro F. Frangi (Image Processing, 2008)

Reproducibility of Image-Based Computational Hemodynamics in Intracranial Aneurysms: Comparison of CTA and 3DRA. - Arjan J. Geers; Ignacio Larrabide; Alessandro Radaelli; Hrvoje Bogunovic; Hugo A. F. Gratama van Andel; Charles B. L. M. Majoie; Alejandro F. Frangi (ISBI, 2009)

Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. - Michiel Schaap; Coert Metz; Theo van Walsum; Alina G. van der Giessen; Annick C. Weustink; Nico Mollet; Christian Bauer 001; Hrvoje Bogunovic; Carlos Castro-Gonzalez; Xiang Deng; Engin Dikici; Thomas O'Donnell; et al. (Medical Image Anal., 2009)

Fast 3D centerline computation for tubular structures by front collapsing and fast marching. - Rubén Cárdenes; Hrvoje Bogunovic; Alejandro F. Frangi (ICIP, 2010)

Anatomical Labeling of the Anterior Circulation of the Circle of Willis Using Maximum a Posteriori Classification. - Hrvoje Bogunovic; José María Pozo; Rubén Cárdenes; Alejandro F. Frangi (MICCAI (3), 2011)

3D Modeling of Coronary Artery Bifurcations from CTA and Conventional Coronary Angiography. - Rubén Cárdenes; José-Luis Díez; Ignacio Larrabide; Hrvoje Bogunovic; Alejandro F. Frangi (MICCAI (3), 2011)

Automatic Aneurysm Neck Detection Using Surface Voronoi Diagrams. - Rubén Cárdenes; José María Pozo; Hrvoje Bogunovic; Ignacio Larrabide; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2011)

AngioLab - A software tool for morphological analysis and endovascular treatment planning of intracranial aneurysms. - Ignacio Larrabide; Maria-Cruz Villa-Uriol; Rubén Cárdenes; Valeria Barbarito; Luigi Carotenuto; Arjan J. Geers; Hernán G. Morales; José María Pozo; Marco D. Mazzeo; Hrvoje Bogunovic; Pedro Omedas; Chiara Riccobene; et al. (Comput. Methods Programs Biomed., 2012)

Automated landmarking and geometric characterization of the carotid siphon. - Hrvoje Bogunovic; José María Pozo; Rubén Cárdenes; Maria-Cruz Villa-Uriol; Raphaël Blanc; Michel Piotin; Alejandro F. Frangi (Medical Image Anal., 2012)

Geometric modeling and characterization of the circle of willis. - Hrvoje Bogunovic (2012)

Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Probability Estimation. - Hrvoje Bogunovic; José María Pozo; Rubén Cárdenes; Luis San-Román; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2013)

Multi-Surface and Multi-Field Co-Segmentation of 3-D Retinal Optical Coherence Tomography. - Hrvoje Bogunovic; Milan Sonka; Young H. Kwon; Pavlina Kemp; Michael D. Abràmoff; Xiaodong Wu 001 (IEEE Trans. Medical Imaging, 2014)

How to Exploit Weaknesses in Biomedical Challenge Design and Organization. - Annika Reinke; Matthias Eisenmann; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Peter M. Full; Hrvoje Bogunovic; Bennett A. Landman; Oskar Maier; Bjoern H. Menze; Gregory C. Sharp; Korsuk Sirinukunwattana; et al. (MICCAI (4), 2018)

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)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (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)

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)

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)

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (CoRR, 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)

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (CoRR, 2020)

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (Medical Image Anal., 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)

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)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu; Wensai Wang; et al. (CoRR, 2022)

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (CoRR, 2022)

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Jaemin Son; Shuang Yu; Menglu Zhang; Chenglang Yuan; Cheng Bian; Baiying Lei; Benjian Zhao; et al. (CoRR, 2022)

Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening. - Teresa Araújo; Guilherme Aresta; Hrvoje Bogunovic (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)

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (IEEE Trans. Medical Imaging, 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)

Adapting Segment Anything Model (SAM) for Retinal OCT. - Botond Fazekas; José Morano; Dmitry A. Lachinov; Guilherme Aresta; 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)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; 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)

PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation. - Huihui Fang; Fei Li 021; Junde Wu; Huazhu Fu; Xu Sun 006; José Ignacio Orlando; Hrvoje Bogunovic; Xiulan Zhang; Yanwu Xu 001 (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)

SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT. - Botond Fazekas; José Morano; Dmitrii A. Lachinov; Guilherme Aresta; 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)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 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)

Automatic Detection and Prediction of nAMD Activity Change in Retinal OCT Using Siamese Networks and Wasserstein Distance for Ordinality. - Taha Emre; Teresa Araújo; Marzieh Oghbaie; Dmitrii A. Lachinov; Guilherme Aresta; Hrvoje Bogunovic (DIAMOND/MARIO@MICCAI, 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)

Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation. - Markus Unterdechler; Botond Fazekas; Guilherme Aresta; Hrvoje Bogunovic (OMIA@MICCAI, 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)

RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification. - José Morano; Guilherme Aresta; Hrvoje Bogunovic (Expert Syst. Appl., 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)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 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)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - Rachid Zeghlache; Ikram Brahim; Pierre-Henri Conze; Mathieu Lamard; Mohammed El Amine Lazouni; Elaouaber Zineb Aziza; Leila Ryma Lazouni; Christopher Nielsen; Ahmad O. Ahsan; Matthias Wilms; Nils D. Forkert; Lovre Antonio Budimir; et al. (CoRR, 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)

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis. - Marzieh Oghbaie; Teresa Araújo; 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)