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)

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)

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)

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)

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)

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)

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)

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)

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)

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)