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Maximilian März
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2020 – today
- 2023
- [j4]Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss:
Sampling Rates for ℓ 1-Synthesis. Found. Comput. Math. 23(6): 2089-2150 (2023) - [j3]Martin Genzel
, Jan MacDonald
Solving Inverse Problems With Deep Neural Networks - Robustness Included? IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1119-1134 (2023) - 2022
- [c3]Martin Genzel, Ingo Gühring, Jan MacDonald, Maximilian März:
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning. ICML 2022: 7368-7381 - [i12]Martin Genzel, Ingo Gühring, Jan MacDonald, Maximilian März:
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning. CoRR abs/2206.07050 (2022) - [i11]Theophil Trippe, Martin Genzel, Jan MacDonald, Maximilian März:
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images. CoRR abs/2211.10103 (2022) - 2021
- [b1]Maximilian März:
Solving underdetermined inverse problems: from advanced sparsity models to deep learning. Technical University of Berlin, Germany, 2021 - [j2]Luis Oala
Detecting failure modes in image reconstructions with interval neural network uncertainty. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2089-2097 (2021) - [c2]Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek:
Interval Neural Networks as Instability Detectors for Image Reconstructions. Bildverarbeitung für die Medizin 2021: 324-329 - [i10]Martin Genzel, Jan MacDonald, Maximilian März:
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry. CoRR abs/2106.00280 (2021) - 2020
- [j1]Carole Lazarus, Maximilian März, Pierre Weiss:
Correcting the Side Effects of ADC Filtering in MR Image Reconstruction. J. Math. Imaging Vis. 62(6-7): 1034-1047 (2020) - [i9]Martin Genzel, Maximilian März, Robert Seidel:
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery. CoRR abs/2001.09952 (2020) - [i8]Luis Oala, Cosmas Heiss, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok:
Interval Neural Networks: Uncertainty Scores. CoRR abs/2003.11566 (2020) - [i7]Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek:
Interval Neural Networks as Instability Detectors for Image Reconstructions. CoRR abs/2003.13471 (2020) - [i6]Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss:
Sampling Rates for 𝓁1-Synthesis. CoRR abs/2004.07175 (2020) - [i5]Martin Genzel, Maximilian März, Robert Seidel:
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery (iTWIST'20). CoRR abs/2009.03694 (2020) - [i4]Martin Genzel, Jan MacDonald, Maximilian März:
Solving Inverse Problems With Deep Neural Networks - Robustness Included? CoRR abs/2011.04268 (2020)
2010 – 2019
- 2018
- [i3]Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan:
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. CoRR abs/1811.04602 (2018) - 2017
- [i2]Jackie Ma, Maximilian März, Stephanie Funk, Jeanette Schulz-Menger, Gitta Kutyniok, Tobias Schaeffter, Christoph Kolbitsch:
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting. CoRR abs/1705.00463 (2017) - [i1]Martin Genzel, Gitta Kutyniok, Maximilian März:
$\ell^1$-Analysis Minimization and Generalized (Co-)Sparsity: When Does Recovery Succeed? CoRR abs/1710.04952 (2017) - 2016
- [c1]Maximilian März, Lars Ruthotto
Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping. Bildverarbeitung für die Medizin 2016: 8-13
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