Christoph Grechenig

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Reproducing Kernel Hilbert Space

Learning Problems

Volumetric Data

Top Venues

J. Math. Imaging Vis.

IEEE J. Biomed. Health Informatics

Publications

José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks. CoRR (2024)
José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data. IEEE Trans. Medical Imaging 43 (3) (2024)
Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data. CoRR (2022)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning. PRIME@MICCAI (2019)
Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogl, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig, Zhichao Wu, Hrvoje Bogunovic
Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning. CoRR (2019)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR (2019)
José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. CoRR (2019)
José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. ISBI (2019)