Maximilian März

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Computed Tomography

Image Reconstruction

Sample Complexity

Top Venues

Bildverarbeitung für die Medizin

Int. J. Comput. Assist. Radiol. Surg.

J. Math. Imaging Vis.

Publications

Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss
-Synthesis. Found. Comput. Math. 23 (6) (2023)
Martin Genzel, Jan MacDonald, Maximilian März
Solving Inverse Problems With Deep Neural Networks - Robustness Included? IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Martin Genzel, Ingo Gühring, Jan MacDonald, Maximilian März
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning. ICML (2022)
Theophil Trippe, Martin Genzel, Jan MacDonald, Maximilian März
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images. CoRR (2022)
Martin Genzel, Ingo Gühring, Jan MacDonald, Maximilian März
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning. CoRR (2022)
Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek
Interval Neural Networks as Instability Detectors for Image Reconstructions. Bildverarbeitung für die Medizin (2021)
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 (2021)
Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Gitta Kutyniok, Wojciech Samek
Detecting failure modes in image reconstructions with interval neural network uncertainty. Int. J. Comput. Assist. Radiol. Surg. 16 (12) (2021)
Martin Genzel, Jan MacDonald, Maximilian März
Solving Inverse Problems With Deep Neural Networks - Robustness Included? CoRR (2020)
Carole Lazarus, Maximilian März, Pierre Weiss
Correcting the Side Effects of ADC Filtering in MR Image Reconstruction. J. Math. Imaging Vis. 62 (6-7) (2020)
Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss
-Synthesis. CoRR (2020)
Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek
Interval Neural Networks as Instability Detectors for Image Reconstructions. CoRR (2020)
Martin Genzel, Maximilian März, Robert Seidel
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery. CoRR (2020)
Martin Genzel, Maximilian März, Robert Seidel
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery (iTWIST'20). CoRR (2020)
Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok
Interval Neural Networks: Uncertainty Scores. CoRR (2020)
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 (2018)
Martin Genzel, Gitta Kutyniok, Maximilian März
$\ell^1$-Analysis Minimization and Generalized (Co-)Sparsity: When Does Recovery Succeed? CoRR (2017)
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 (2017)
Maximilian März, Lars Ruthotto
Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping. Bildverarbeitung für die Medizin (2016)