Maximilian März
Cited by
Cited by
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, 2019
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
Solving Inverse Problems With Deep Neural Networks--Robustness Included?
M Genzel, J Macdonald, M März
arXiv preprint arXiv:2011.04268, 2020
Shearlet-based regularization in sparse dynamic tomography
TA Bubba, M März, Z Purisha, M Lassas, S Siltanen
Wavelets and Sparsity XVII 10394, 103940Y, 2017
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
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
A multilevel based reweighting algorithm with joint regularizers for sparse recovery
J Ma, M März
arXiv preprint arXiv:1604.06941, 2016
Interval neural networks: Uncertainty scores
L Oala, C Heiß, J Macdonald, M März, W Samek, G Kutyniok
arXiv preprint arXiv:2003.11566, 2020
Correcting the side effects of ADC filtering in MR image reconstruction
C Lazarus, M März, P Weiss
Journal of Mathematical Imaging and Vision, 1-14, 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
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery
M Genzel, M März, R Seidel
arXiv preprint arXiv:2001.09952, 2020
Mathematical methods in medical image processing
G Kutyniok, J Ma, M März
Quantification of Biophysical Parameters in Medical Imaging, 153-166, 2018
Multilevel Gauss-Newton-Methoden zur Phasenrekonstruktion
R Beinert, K Bredies, G Plonka, T Bendory, YC Eldar, H Boche, G Caire, ...
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, 1-9, 2021
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
Solving underdetermined inverse problems: From advanced sparsity models to deep learning
MA März
Solving underdetermined inverse problems
MA März
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
Sampling Rates for -Synthesis
M März, C Boyer, J Kahn, P Weiss
arXiv preprint arXiv:2004.07175, 2020
Sampling Rates for 𝓁1-Synthesis.
M März, C Boyer, J Kahn, P Weiss
CoRR, 2020
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