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)

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)

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)

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)