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 | 116 | 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 | 47 | 2020 |
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction D Narnhofer, A Effland, E Kobler, K Hammernik, F Knoll, T Pock arXiv 6665, 2021 | 44 | 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 | 36 | 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 | 29 | 2021 |
Total Deep Variation: A Stable Regularizer for Inverse Problems E Kobler, A Effland, K Kunisch, T Pock arXiv preprint arXiv:2006.08789, 2020 | 21 | 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 | 16 | 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 | 12 | 2017 |
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 | 12 | 2015 |
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 | 11 | 2021 |
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 | 10 | 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 | 10 | 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 | 10 | 2018 |
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 | 9 | 2023 |
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 | 8 | 2019 |
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 | 7 | 2021 |
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 | 7 | 2021 |
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 | 6 | 2023 |
Discrete Riemannian calculus and a posteriori error control on shape spaces A Effland Universitäts-und Landesbibliothek Bonn, 2018 | 6 | 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 | 5 | 2023 |