Alexander Effland
Alexander Effland
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Cited by
Total Deep Variation for Linear Inverse Problems
E Kobler, A Effland, K Kunisch, T Pock
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Variational networks: An optimal control approach to early stopping variational methods for image restoration
A Effland, E Kobler, K Kunisch, T Pock
Journal of mathematical imaging and vision 62, 396-416, 2020
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
D Narnhofer, A Effland, E Kobler, K Hammernik, F Knoll, T Pock
arXiv 6665, 2021
Time discrete geodesic paths in the space of images
B Berkels, A Effland, M Rumpf
SIAM Journal on Imaging Sciences 8 (3), 1457-1488, 2015
Total deep variation: A stable regularization method for inverse problems
E Kobler, A Effland, K Kunisch, T Pock
IEEE transactions on pattern analysis and machine intelligence 44 (12), 9163 …, 2021
Total Deep Variation: A Stable Regularizer for Inverse Problems
E Kobler, A Effland, K Kunisch, T Pock
arXiv preprint arXiv:2006.08789, 2020
Reduction of gadolinium-based contrast agents in MRI using convolutional neural networks and different input protocols: limited interchangeability of synthesized sequences with …
R Haase, T Pinetz, Z Bendella, E Kobler, D Paech, W Block, A Effland, ...
Investigative Radiology 58 (6), 420-430, 2023
A posteriori error control for the binary Mumford-Shah model
B Berkels, A Effland, M Rumpf
Mathematics of computation 86 (306), 1769-1791, 2017
GEASI: Geodesic‐based earliest activation sites identification in cardiac models
T Grandits, A Effland, T Pock, R Krause, G Plank, S Pezzuto
International Journal for Numerical Methods in Biomedical Engineering 37 (8 …, 2021
Bézier curves in the space of images
A Effland, M Rumpf, S Simon, K Stahn, B Wirth
Scale Space and Variational Methods in Computer Vision: 5th International …, 2015
Image morphing in deep feature spaces: Theory and applications
A Effland, E Kobler, T Pock, M Rajković, M Rumpf
Journal of Mathematical Imaging and Vision 63 (2), 309-327, 2021
Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds
A Effland, S Neumayer, M Rumpf
SIAM Journal on Imaging Sciences 13 (2), 557-588, 2020
Image extrapolation for the time discrete metamorphosis model: Existence and applications
A Effland, M Rumpf, F Schäfer
SIAM Journal on Imaging Sciences 11 (1), 834-862, 2018
Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data
A Effland, E Kobler, A Brandenburg, T Klatzer, L Neuhäuser, M Hölzel, ...
International journal of computer assisted radiology and surgery 14, 587-599, 2019
Shared prior learning of energy-based models for image reconstruction
T Pinetz, E Kobler, T Pock, A Effland
SIAM Journal on Imaging Sciences 14 (4), 1706-1748, 2021
Artificial contrast: deep learning for reducing gadolinium-based contrast agents in neuroradiology
R Haase, T Pinetz, E Kobler, D Paech, A Effland, A Radbruch, ...
Investigative Radiology 58 (8), 539-547, 2023
Renal denervation exacerbates LPS-and antibody-induced acute kidney injury, but protects from pyelonephritis in mice
AMC Böhner, AM Jacob, C Heuser, NE Stumpf, A Effland, Z Abdullah, ...
Journal of the American Society of Nephrology 32 (10), 2445-2453, 2021
Discrete Riemannian calculus and a posteriori error control on shape spaces
A Effland
Universitäts-und Landesbibliothek Bonn, 2018
Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs
T Pinetz, E Kobler, R Haase, K Deike-Hofmann, A Radbruch, A Effland
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach
T Grandits, J Verhülsdonk, G Haase, A Effland, S Pezzuto
IEEE Transactions on Biomedical Engineering, 2023
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