Correcting the Side Effects of ADC Filtering in MR Image Reconstruction von Lazarus, Carole, März, Maximilian, Weiss, Pierre

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Sampling Rates for ℓ1-Synthesis von März, Maximilian, Boyer, Claire, Kahn, Jonas, Weiss, Pierre

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Detecting failure modes in image reconstructions with interval neural network uncertainty von Oala, Luis, Heiß, Cosmas, Macdonald, Jan, März, Maximilian, Kutyniok, Gitta, Samek, Wojciech

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Compressed Sensing and its Applications: Second International MATHEON Conference 2015 von Boche, Holger, Caire, Giuseppe, Calderbank, Robert, März, Maximilian, Kutyniok, Gitta, Mathar, Rudolf

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Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography von Bubba, Tatiana A, Kutyniok, Gitta, Lassas, Matti, März, Maximilian, Samek, Wojciech, Siltanen, Samuli, Srinivasan, Vignesh

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ℓ1-Analysis minimization and generalized (co-)sparsity: When does recovery succeed? von Genzel, Martin, Kutyniok, Gitta, März, Maximilian

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Sampling Rates for $$\ell ^1$$-Synthesis von März, Maximilian, Boyer, Claire, Kahn, Jonas, Weiss, Pierre

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Sampling Rates for [Formula omitted]-Synthesis von März, Maximilian, Boyer, Claire, Kahn, Jonas, Weiss, Pierre

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Sampling Rates for l1-Synthesis von März, Maximilian, Boyer, Claire, Kahn, Jonas, Weiss, Pierre

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Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting von Ma, Jackie, März, Maximilian, Funk, Stephanie, Schulz-Menger, Jeanette, Kutyniok, Gitta, Schaeffter, Tobias, Kolbitsch, Christoph

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Solving Inverse Problems With Deep Neural Networks - Robustness Included? von Genzel, Martin, Macdonald, Jan, Marz, Maximilian

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Solving Inverse Problems With Deep Neural Networks - Robustness Included von Genzel, Martin, Macdonald, Jan, Marz, Maximilian

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Fourier Phase Retrieval: Uniqueness and Algorithms von Bendory, Tamir, Beinert, Robert, Eldar, Yonina C.

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Compressed Sensing Approaches for Polynomial Approximation of High-Dimensional Functions von Adcock, Ben, Brugiapaglia, Simone, Webster, Clayton G.

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A Randomized Tensor Train Singular Value Decomposition von Huber, Benjamin, Schneider, Reinhold, Wolf, Sebastian

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Multisection in the Stochastic Block Model Using Semidefinite Programming von Agarwal, Naman, Bandeira, Afonso S., Koiliaris, Konstantinos, Kolla, Alexandra

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Total Variation Minimization in Compressed Sensing von Krahmer, Felix, Kruschel, Christian, Sandbichler, Michael

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Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery von Genzel, Martin, März, Maximilian, Seidel, Robert

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Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images von Trippe, Theophil, Genzel, Martin, Macdonald, Jan, März, Maximilian

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AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry von Genzel, Martin, Macdonald, Jan, März, Maximilian

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