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Maximilian März
Maximilian März
Verified email at math.tu-berlin.de
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Cited by
Year
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
1502019
Solving inverse problems with deep neural networks - robustness included?
M Genzel, J Macdonald, M März
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
1132022
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
372021
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
272017
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
232022
Interval neural networks: Uncertainty scores
L Oala, C Heiß, J Macdonald, M März, W Samek, G Kutyniok
arXiv preprint arXiv:2003.11566, 2020
232020
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
232018
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
192017
A multilevel based reweighting algorithm with joint regularizers for sparse recovery
J Ma, M März
arXiv preprint arXiv:1604.06941, 2016
152016
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
102020
Sampling Rates for -Synthesis
M März, C Boyer, J Kahn, P Weiss
Foundations of Computational Mathematics 23 (6), 2089-2150, 2023
82023
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
72021
Compressed Sensing and Its Applications: Second International MATHEON Conference 2015
H Boche, G Caire, R Calderbank, M März, G Kutyniok, R Mathar
Birkhäuser, 2018
72018
Mathematical methods in medical image processing
G Kutyniok, J Ma, M März
Quantification of Biophysical Parameters in Medical Imaging, 153-166, 2018
72018
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
62022
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
52021
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
32015
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
22021
Multilevel Gauß-Newton Methoden zur Phasenrekonstruktion
R Beinert
22013
Let's enhance: A deep learning approach to extreme deblurring of text images
T Trippe, M Genzel, J Macdonald, M März
arXiv preprint arXiv:2211.10103, 2022
12022
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Articles 1–20