Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography TA Bubba, G Kutyniok, M Lassas, M März, W Samek, S Siltanen, ...
Inverse Problems 35 (6), 064002 - Authors Alphabetically Sorted, 2019
163 2019 Solving inverse problems with deep neural networks - robustness included? M Genzel, J Macdonald, M März
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
144 2022 ℓ1-analysis minimization and generalized (co-) sparsity: when does recovery succeed? M Genzel, G Kutyniok, M März
Applied and Computational Harmonic Analysis 52, 82-140, 2021
44 2021 Near-exact recovery for tomographic inverse problems via deep learning M Genzel, I Gühring, J Macdonald, M März
International Conference on Machine Learning, 7368-7381, 2022
35 2022 Tomographic X-ray data of carved cheese TA Bubba, M Juvonen, J Lehtonen, M März, A Meaney, Z Purisha, ...
arXiv preprint arXiv:1705.05732, 2017
32 2017 Interval neural networks: Uncertainty scores L Oala, C Heiß, J Macdonald, M März, W Samek, G Kutyniok
arXiv preprint arXiv:2003.11566, 2020
31 2020 Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting J Ma, M März, S Funk, J Schulz-Menger, G Kutyniok, T Schaeffter, ...
Physics in Medicine & Biology 63 (23), 235004, 2018
25 2018 Shearlet-based regularization in sparse dynamic tomography TA Bubba, M März, Z Purisha, M Lassas, S Siltanen
Wavelets and Sparsity XVII 10394, 236-245, 2017
21 2017 A multilevel based reweighting algorithm with joint regularizers for sparse recovery J Ma, M März
arXiv preprint arXiv:1604.06941, 2016
18 2016 Sampling Rates for M März, C Boyer, J Kahn, P Weiss
Foundations of Computational Mathematics 23 (6), 2089-2150, 2023
10 2023 Compressed sensing with 1D total variation: Breaking sample complexity barriers via non-uniform recovery M Genzel, M März, R Seidel
Information and Inference: A Journal of the IMA 11 (1), 203-250, 2022
10 2022 Detecting failure modes in image reconstructions with interval neural network uncertainty L Oala, C Heiß, J Macdonald, M März, G Kutyniok, W Samek
International Journal of Computer Assisted Radiology and Surgery 16, 2089-2097, 2021
10 2021 Correcting the side effects of ADC filtering in MR image reconstruction C Lazarus, M März, P Weiss
Journal of Mathematical Imaging and Vision 62, 1034-1047, 2020
9 2020 Compressed Sensing and Its Applications: Second International MATHEON Conference 2015 H Boche, G Caire, R Calderbank, M März, G Kutyniok, R Mathar
Birkhäuser, 2018
7 2018 Mathematical methods in medical image processing G Kutyniok, J Ma, M März
Quantification of Biophysical Parameters in Medical Imaging, 153-166, 2018
7 2018 AAPM DL-sparse-view CT challenge submission report: Designing an iterative network for fanbeam-CT with unknown geometry M Genzel, J Macdonald, M März
arXiv preprint arXiv:2106.00280, 2021
6 2021 Interval neural networks as instability detectors for image reconstructions J Macdonald, M März, L Oala, W Samek
Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021
3 2021 Image quality improvement using short range finite difference in QSM reconstruction M Maerz, D Zhou, Y Zhang, P Spincemaille, L Ruthotto, Y Wang
Proc. 23rd Annu. Meeting Exhib. Int. Soc. Magn. Reson. Med., 2015
3 2015 Solving inverse problems with deep neural networks-robustness included? arXiv [Preprint](2020) M Genzel, J Macdonald, M März
arXiv preprint arXiv:2011.04268, 2022
2 2022 Multilevel Gauß-Newton Methoden zur Phasenrekonstruktion R Beinert
2 2013