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Journal Articles
- 2024
[j13]Thomas Grandits
, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto:
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach. IEEE Trans. Biomed. Eng. 71(4): 1281-1288 (2024)- [j12]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:
Optical Flow-Guided Cine MRI Segmentation With Learned Corrections. IEEE Trans. Medical Imaging 43(3): 940-953 (2024) - 2023
- [j11]Ahmed Gdoura, Markus Degünther, Birgit Lorenz, Alexander Effland:
Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates. J. Imaging 9(5): 104 (2023) - 2022
- [j10]Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock:
Total Deep Variation: A Stable Regularization Method for Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9163-9180 (2022) - [j9]Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock:
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. IEEE Trans. Medical Imaging 41(2): 279-291 (2022) - 2021
- [j8]Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf:
Image Morphing in Deep Feature Spaces: Theory and Applications. J. Math. Imaging Vis. 63(2): 309-327 (2021) - [j7]Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland:
Shared Prior Learning of Energy-Based Models for Image Reconstruction. SIAM J. Imaging Sci. 14(4): 1706-1748 (2021) - 2020
- [j6]Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock:
Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. J. Math. Imaging Vis. 62(3): 396-416 (2020) - [j5]Alexander Effland, Sebastian Neumayer, Martin Rumpf:
Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds. SIAM J. Imaging Sci. 13(2): 557-588 (2020) - 2019
- [j4]Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock, Martin Rumpf:
Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data. Int. J. Comput. Assist. Radiol. Surg. 14(4): 587-599 (2019) - 2018
- [j3]Alexander Effland, Martin Rumpf, Florian Schäfer:
Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications. SIAM J. Imaging Sci. 11(1): 834-862 (2018) - 2017
- [j2]Benjamin Berkels, Alexander Effland, Martin Rumpf:
A posteriori error control for the binary Mumford-Shah model. Math. Comput. 86(306): 1769-1791 (2017) - 2015
- [j1]Benjamin Berkels, Alexander Effland, Martin Rumpf:
Time Discrete Geodesic Paths in the Space of Images. SIAM J. Imaging Sci. 8(3): 1457-1488 (2015)
Conference and Workshop Papers
- 2024
- [c13]Joel Valdivia Ortega, Manuel Haas, Alexander Effland:
Learning Diffusion Functions for Image Restoration. ISBI 2024: 1-5 - 2023
- [c12]Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland:
Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs. MICCAI (2) 2023: 607-617 - [c11]Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock:
Learned Discretization Schemes for the Second-Order Total Generalized Variation. SSVM 2023: 484-497 - [c10]Lydia Lindner, Alexander Effland, Filip Ilic, Thomas Pock, Erich Kobler:
Lightweight Video Denoising using Aggregated Shifted Window Attention. WACV 2023: 351-360 - 2022
- [c9]Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland:
Blind Single Image Super-Resolution via Iterated Shared Prior Learning. GCPR 2022: 151-165 - [c8]Markus Hofinger, Erich Kobler, Alexander Effland, Thomas Pock:
Learned Variational Video Color Propagation. ECCV (23) 2022: 512-530 - 2021
- [c7]Thomas Pinetz, Erich Kobler, Christian Doberstein, Benjamin Berkels, Alexander Effland:
Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy. SSVM 2021: 491-502 - 2020
- [c6]Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock:
Total Deep Variation for Linear Inverse Problems. CVPR 2020: 7546-7555 - 2019
- [c5]Alexander Effland, Erich Kobler, Thomas Pock, Martin Rumpf:
Time Discrete Geodesics in Deep Feature Spaces for Image Morphing. SSVM 2019: 171-182 - 2018
- [c4]Alexander Effland, Michael Hölzel, Teresa Klatzer, Erich Kobler, Jennifer Landsberg, Leonie Neuhäuser, Thomas Pock, Martin Rumpf:
Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections. Bildverarbeitung für die Medizin 2018: 334-340 - 2017
- [c3]Benjamin Berkels, Michael Buchner, Alexander Effland, Martin Rumpf, Steffen Schmitz-Valckenberg:
GPU-Based Image Geodesics for Optical Coherence Tomography. Bildverarbeitung für die Medizin 2017: 68-73 - [c2]Alexander Effland, Martin Rumpf, Florian Schäfer:
Time Discrete Extrapolation in a Riemannian Space of Images. SSVM 2017: 473-485 - 2015
- [c1]Alexander Effland, Martin Rumpf, Stefan Simon, Kirsten Stahn, Benedikt Wirth:
Bézier Curves in the Space of Images. SSVM 2015: 372-384
Informal and Other Publications
- 2024
- [i14]Thomas Pinetz, Erich Kobler, Robert Haase, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland:
Gadolinium dose reduction for brain MRI using conditional deep learning. CoRR abs/2403.03539 (2024) - [i13]Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland:
Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging. CoRR abs/2408.11573 (2024) - 2023
- [i12]Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock:
Learned Discretization Schemes for the Second-Order Total Generalized Variation. CoRR abs/2303.09349 (2023) - [i11]Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland:
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs. CoRR abs/2306.14678 (2023) - [i10]Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto:
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach. CoRR abs/2308.08410 (2023) - [i9]Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland:
Shape of my heart: Cardiac models through learned signed distance functions. CoRR abs/2308.16568 (2023) - 2021
- [i8]Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock:
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. CoRR abs/2102.06665 (2021) - [i7]Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto:
GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. CoRR abs/2102.09962 (2021) - 2020
- [i6]Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock:
Total Deep Variation for Linear Inverse Problems. CoRR abs/2001.05005 (2020) - [i5]Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock:
Total Deep Variation: A Stable Regularizer for Inverse Problems. CoRR abs/2006.08789 (2020) - [i4]Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland:
Shared Prior Learning of Energy-Based Models for Image Reconstruction. CoRR abs/2011.06539 (2020) - 2019
- [i3]Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock:
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. CoRR abs/1907.08488 (2019) - [i2]Alexander Effland, Erich Kobler, Thomas Pock, Marko Rajkovic, Martin Rumpf:
Image Morphing in Deep Feature Spaces: Theory and Applications. CoRR abs/1910.12672 (2019) - [i1]Alexander Effland, Behrend Heeren, Martin Rumpf, Benedikt Wirth:
Consistent Curvature Approximation on Riemannian Shape Spaces. CoRR abs/1912.07336 (2019)
Coauthor Index
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