Bézier Curves in the Space of Images. - Alexander Effland; Martin Rumpf; Stefan Simon; Kirsten Stahn; Benedikt Wirth (SSVM, 2015)

Time Discrete Geodesic Paths in the Space of Images. - Benjamin Berkels; Alexander Effland; Martin Rumpf (SIAM J. Imaging Sci., 2015)

GPU-Based Image Geodesics for Optical Coherence Tomography. - Benjamin Berkels; Michael Buchner; Alexander Effland; Martin Rumpf; Steffen Schmitz-Valckenberg (Bildverarbeitung für die Medizin, 2017)

Time Discrete Extrapolation in a Riemannian Space of Images. - Alexander Effland; Martin Rumpf; Florian Schäfer (SSVM, 2017)

A posteriori error control for the binary Mumford-Shah model. - Benjamin Berkels; Alexander Effland; Martin Rumpf (Math. Comput., 2017)

Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections. - Alexander Effland; Michael Hölzel; Teresa Klatzer; Erich Kobler; Jennifer Landsberg; Leonie Neuhäuser; Thomas Pock; Martin Rumpf (Bildverarbeitung für die Medizin, 2018)

Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications. - Alexander Effland; Martin Rumpf; Florian Schäfer (SIAM J. Imaging Sci., 2018)

Time Discrete Geodesics in Deep Feature Spaces for Image Morphing. - Alexander Effland; Erich Kobler; Thomas Pock; Martin Rumpf (SSVM, 2019)

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data. - Alexander Effland; Erich Kobler; Anne Brandenburg; Teresa Klatzer; Leonie Neuhäuser; Michael Hölzel; Jennifer Landsberg; Thomas Pock; Martin Rumpf (Int. J. Comput. Assist. Radiol. Surg., 2019)

An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. - Alexander Effland; Erich Kobler; Karl Kunisch; Thomas Pock (CoRR, 2019)

Consistent Curvature Approximation on Riemannian Shape Spaces. - Alexander Effland; Behrend Heeren; Martin Rumpf; Benedikt Wirth (CoRR, 2019)

Total Deep Variation for Linear Inverse Problems. - Erich Kobler; Alexander Effland; Karl Kunisch; Thomas Pock (CVPR, 2020)

Total Deep Variation: A Stable Regularizer for Inverse Problems. - Erich Kobler; Alexander Effland; Karl Kunisch; Thomas Pock (CoRR, 2020)

Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. - Alexander Effland; Erich Kobler; Karl Kunisch; Thomas Pock (J. Math. Imaging Vis., 2020)

Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds. - Alexander Effland; Sebastian Neumayer; Martin Rumpf (SIAM J. Imaging Sci., 2020)

Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy. - Thomas Pinetz; Erich Kobler; Christian Doberstein; Benjamin Berkels; Alexander Effland (SSVM, 2021)

GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. - Thomas Grandits; Alexander Effland; Thomas Pock; Rolf Krause; Gernot Plank; Simone Pezzuto (CoRR, 2021)

Image Morphing in Deep Feature Spaces: Theory and Applications. - Alexander Effland; Erich Kobler; Thomas Pock; Marko Rajkovic; Martin Rumpf (J. Math. Imaging Vis., 2021)

Shared Prior Learning of Energy-Based Models for Image Reconstruction. - Thomas Pinetz; Erich Kobler; Thomas Pock; Alexander Effland (SIAM J. Imaging Sci., 2021)

Blind Single Image Super-Resolution via Iterated Shared Prior Learning. - Thomas Pinetz; Erich Kobler; Thomas Pock; Alexander Effland (GCPR, 2022)

Learned Variational Video Color Propagation. - Markus Hofinger; Erich Kobler; Alexander Effland; Thomas Pock (ECCV (23), 2022)

Total Deep Variation: A Stable Regularization Method for Inverse Problems. - Erich Kobler; Alexander Effland; Karl Kunisch; Thomas Pock (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. - Dominik Narnhofer; Alexander Effland; Erich Kobler; Kerstin Hammernik; Florian Knoll; Thomas Pock (IEEE Trans. Medical Imaging, 2022)

Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs. - Thomas Pinetz; Erich Kobler; Robert Haase 002; Katerina Deike-Hofmann; Alexander Radbruch; Alexander Effland (MICCAI (2), 2023)

Learned Discretization Schemes for the Second-Order Total Generalized Variation. - Lea Bogensperger; Antonin Chambolle; Alexander Effland; Thomas Pock (SSVM, 2023)

Lightweight Video Denoising using Aggregated Shifted Window Attention. - Lydia Lindner; Alexander Effland; Filip Ilic; Thomas Pock; Erich Kobler (WACV, 2023)

Shape of my heart: Cardiac models through learned signed distance functions. - Jan Verhülsdonk; Thomas Grandits; Francisco Sahli Costabal; Rolf Krause; Angelo Auricchio; Gundolf Haase; Simone Pezzuto; Alexander Effland (CoRR, 2023)

Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates. - Ahmed Gdoura; Markus Degünther; Birgit Lorenz; Alexander Effland (J. Imaging, 2023)

Learning Diffusion Functions for Image Restoration. - Joel Valdivia Ortega; Manuel Haas; Alexander Effland (ISBI, 2024)

Shape of my heart: Cardiac models through learned signed distance functions. - Jan Verhülsdonk; Thomas Grandits; Francisco Sahli Costabal; Thomas Pinetz; Rolf Krause; Angelo Auricchio; Gundolf Haase; Simone Pezzuto; Alexander Effland (MIDL, 2024)

Gadolinium dose reduction for brain MRI using conditional deep learning. - Thomas Pinetz; Erich Kobler; Robert Haase 002; Julian A. Luetkens; Mathias Meetschen; Johannes Haubold; Cornelius Deuschl; Alexander Radbruch; Katerina Deike; Alexander Effland (CoRR, 2024)

Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging. - Manuel Haas; Thomas Grandits; Thomas Pinetz; Thomas Beiert; Simone Pezzuto; Alexander Effland (CoRR, 2024)

Optical Flow-Guided Cine MRI Segmentation With Learned Corrections. - Antonio Ortiz-Gonzalez; Erich Kobler; Stefan Simon; Leon Bischoff; Sebastian Nowak 001; Alexander Isaak; Wolfgang Block; Alois M. Sprinkart; Ulrike I. Attenberger; Julian A. Luetkens; Eduardo Bayro-Corrochano; Alexander Effland (IEEE Trans. Medical Imaging, 2024)

Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach. - Thomas Grandits; Jan Verhülsdonk; Gundolf Haase; Alexander Effland; Simone Pezzuto (IEEE Trans. Biomed. Eng., 2024)

Equivariant Bootstrap for Uncertainty Quantification in Image Classification. - Andreas Decker; Alexander Effland; Erich Kobler (SSVM (1), 2025)

Volumetric Shape Clustering with Optimal Transport Distances. - Alexander Effland; Martin Rumpf; Jan Verhülsdonk (SSVM (2), 2025)