Alexander Effland

48 papers A* 1A 1Journal 31Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Posteriori Error Control for Nonconvex Problems via Calibration. SIAM J. Numer. Anal. Benjamin Berkels, Alexander Effland, Martin Rumpf, Jan Verhülsdonk
2026	J	`jnl`	Learned Finite Element-based Regularization of the Inverse Problem in Electrocardiographic Imaging. CoRR Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2025	—	`conf`	Equivariant Bootstrap for Uncertainty Quantification in Image Classification. SSVM (1) Andreas Decker, Alexander Effland, Erich Kobler
2025	—	`conf`	FedPCE: Federated Personalized Client Embeddings for Post-training Knowledge Distillation. DAGM GCPR Soma Hansel, Erich Kobler, Alexander Effland
2025	J	`jnl`	Finite Element-Based Space-Time Total-Variation-Type Regularization of the Inverse Problem in Electrocardiographic Imaging. SIAM J. Sci. Comput. Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2025	J	`jnl`	Uncertainty Estimation for Learning-Based Classification of Corrupted Images. SIAM J. Imaging Sci. Alexander Effland, Erich Kobler, Marcelo Pereyra, J. Peter
2025	—	`conf`	Volumetric Shape Clustering with Optimal Transport Distances. SSVM (2) Alexander Effland, Martin Rumpf, Jan Verhülsdonk
2024	J	`jnl`	Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach. IEEE Trans. Biomed. Eng. Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto
2024	J	`jnl`	Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging. CoRR Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2024	J	`jnl`	Gadolinium dose reduction for brain MRI using conditional deep learning. CoRR Thomas Pinetz, Erich Kobler, Robert Haase, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland
2024	—	`conf`	Learning Diffusion Functions for Image Restoration. ISBI Joel Valdivia Ortega, Manuel Haas, Alexander Effland
2024	J	`jnl`	Optical Flow-Guided Cine MRI Segmentation With Learned Corrections. IEEE Trans. Medical Imaging Antonio Ortiz-Gonzalez, Erich Kobler, Stefan Simon, Leon Bischoff, Sebastian Nowak, Alexander Isaak, Wolfgang Block, Alois M. Sprinkart, Ulrike I. Attenberger, Julian A. Luetkens, Eduardo Bayro-Corrochano, Alexander Effland
2024	—	`conf`	Shape of my heart: Cardiac models through learned signed distance functions. MIDL Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland
2023	J	`jnl`	Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates. J. Imaging Ahmed Gdoura, Markus Degünther, Birgit Lorenz, Alexander Effland
2023	J	`jnl`	Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach. CoRR Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto
2023	—	`conf`	Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs. MICCAI (2) Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland
2023	J	`jnl`	Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs. CoRR Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland
2023	—	`conf`	Learned Discretization Schemes for the Second-Order Total Generalized Variation. SSVM Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock
2023	J	`jnl`	Learned Discretization Schemes for the Second-Order Total Generalized Variation. CoRR Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock
2023	A	`conf`	Lightweight Video Denoising using Aggregated Shifted Window Attention. WACV Lydia Lindner, Alexander Effland, Filip Ilic, Thomas Pock, Erich Kobler
2023	J	`jnl`	Shape of my heart: Cardiac models through learned signed distance functions. CoRR Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland
2022	J	`jnl`	Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. IEEE Trans. Medical Imaging Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2022	—	`conf`	Blind Single Image Super-Resolution via Iterated Shared Prior Learning. GCPR Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2022	—	`conf`	Learned Variational Video Color Propagation. ECCV (23) Markus Hofinger, Erich Kobler, Alexander Effland, Thomas Pock
2022	J	`jnl`	Total Deep Variation: A Stable Regularization Method for Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2021	J	`jnl`	Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. CoRR Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2021	J	`jnl`	GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. CoRR Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto
2021	J	`jnl`	Image Morphing in Deep Feature Spaces: Theory and Applications. J. Math. Imaging Vis. Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf
2021	J	`jnl`	Shared Prior Learning of Energy-Based Models for Image Reconstruction. SIAM J. Imaging Sci. Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2021	—	`conf`	Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy. SSVM Thomas Pinetz, Erich Kobler, Christian Doberstein, Benjamin Berkels, Alexander Effland
2020	J	`jnl`	Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds. SIAM J. Imaging Sci. Alexander Effland, Sebastian Neumayer, Martin Rumpf
2020	J	`jnl`	Shared Prior Learning of Energy-Based Models for Image Reconstruction. CoRR Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2020	A*	`conf`	Total Deep Variation for Linear Inverse Problems. CVPR Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020	J	`jnl`	Total Deep Variation for Linear Inverse Problems. CoRR Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020	J	`jnl`	Total Deep Variation: A Stable Regularizer for Inverse Problems. CoRR Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020	J	`jnl`	Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. J. Math. Imaging Vis. Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
2019	J	`jnl`	An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. CoRR Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock
2019	J	`jnl`	Consistent Curvature Approximation on Riemannian Shape Spaces. CoRR Alexander Effland, Behrend Heeren, Martin Rumpf, Benedikt Wirth
2019	J	`jnl`	Image Morphing in Deep Feature Spaces: Theory and Applications. CoRR Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf
2019	J	`jnl`	Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data. Int. J. Comput. Assist. Radiol. Surg. Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock, Martin Rumpf
2019	—	`conf`	Time Discrete Geodesics in Deep Feature Spaces for Image Morphing. SSVM Alexander Effland, Erich Kobler, Thomas Pock, Martin Rumpf
2018	J	`jnl`	Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications. SIAM J. Imaging Sci. Alexander Effland, Martin Rumpf, Florian Schäfer
2018	—	`conf`	Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections. Bildverarbeitung für die Medizin Alexander Effland, Michael Hölzel, Teresa Klatzer, Erich Kobler, Jennifer Landsberg, Leonie Neuhäuser, Thomas Pock, Martin Rumpf
2017	J	`jnl`	A posteriori error control for the binary Mumford-Shah model. Math. Comput. Benjamin Berkels, Alexander Effland, Martin Rumpf
2017	—	`conf`	GPU-Based Image Geodesics for Optical Coherence Tomography. Bildverarbeitung für die Medizin Benjamin Berkels, Michael Buchner, Alexander Effland, Martin Rumpf, Steffen Schmitz-Valckenberg
2017	—	`conf`	Time Discrete Extrapolation in a Riemannian Space of Images. SSVM Alexander Effland, Martin Rumpf, Florian Schäfer
2015	—	`conf`	Bézier Curves in the Space of Images. SSVM Alexander Effland, Martin Rumpf, Stefan Simon, Kirsten Stahn, Benedikt Wirth
2015	J	`jnl`	Time Discrete Geodesic Paths in the Space of Images. SIAM J. Imaging Sci. Benjamin Berkels, Alexander Effland, Martin Rumpf