ARVO
2024
Posters
Deep learning for efficient screening for retinal disease from large OCT datasets by knowledge-based distillation
Guilherme Aresta, Teresa Araújo, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
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Few-shot retinal layer boundary segmentation adaptation for regressing novel retinal layers visible on high resolution OCT
Hrvoje Bogunovic, Botond Fazekas, Sophie Frank, Julia Mai, Gregor Reiter, Ursula Schmidt-Erfurth
Inter- and Intra-reader agreement on quantitative Subretinal Drusenoid Deposits OCT Segmentation in Intermediate Age-Related Macular Degeneration
Anna Eidenberger, Gregor S. Reiter, Sophie Frank, Klaudia Kostolna, Virginia Mares, Simon Schürer-Waldheim, Hrvoje Bogunovic, Ursula Schmidt-Erfurth
Deep-learning supported pointwise structure-function correlation from healthy eyes to intermediate and late non-exudative age-related macular degeneration
Klaudia Kostolna, Gregor S. Reiter, Leonard M. Coulibaly, Irene Steiner, Hamza Mohamed, Azin Zhargami, Simon Schürer-Waldheim, Markus Gumpinger, Hrvoje Bogunovic, Ursula Schmidt-Erfurth
Selecting a well-performing approach for automated subretinal drusenoid deposits quantification
Simon Schürer-Waldheim, José Morano, Guilherme M. Aresta, Klaudia Kostolna, Gregor S. Reiter, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
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