| Solving inverse problems using data-driven models S Arridge, P Maass, O Öktem, CB Schönlieb Acta Numerica 28, 1-174, 2019 | 700 | 2019 |
| Wavelets: theory and applications AK Louis, P Maass, A Rieder (No Title), 1997 | 381 | 1997 |
| Wavelets: Theorie und Anwendungen AK Louis, P Maaß, A Rieder Springer-Verlag, 2013 | 341 | 2013 |
| A mollifier method for linear operator equations of the first kind AK Louis, P Maass Inverse problems 6 (3), 427, 1990 | 251 | 1990 |
| Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clustering T Alexandrov, M Becker, S Deininger, G Ernst, L Wehder, M Grasmair, ... Journal of proteome research 9 (12), 6535-6546, 2010 | 225 | 2010 |
| A review of some modern approaches to the problem of trend extraction T Alexandrov, S Bianconcini, EB Dagum, P Maass, TS McElroy Econometric Reviews 31 (6), 593-624, 2012 | 180 | 2012 |
| On the connection between adversarial robustness and saliency map interpretability C Etmann, S Lunz, P Maass, CB Schönlieb arXiv preprint arXiv:1905.04172, 2019 | 170 | 2019 |
| A reconstruction algorithm for electrical impedance tomography based on sparsity regularization B Jin, T Khan, P Maass International Journal for Numerical Methods in Engineering 89 (3), 337-353, 2012 | 169 | 2012 |
| A generalized conditional gradient method and its connection to an iterative shrinkage method K Bredies, DA Lorenz, P Maass Computational Optimization and applications 42, 173-193, 2009 | 166 | 2009 |
| Fast CG-based methods for Tikhonov--Phillips regularization A Frommer, P Maass SIAM Journal on Scientific Computing 20 (5), 1831-1850, 1999 | 164 | 1999 |
| The uncertainty principle associated with the continuous shearlet transform S Dahlke, G Kutyniok, P Maass, C Sagiv, HG Stark, G Teschke International Journal of Wavelets, Multiresolution and Information …, 2008 | 163 | 2008 |
| Sparsity regularization for parameter identification problems B Jin, P Maass Inverse Problems 28 (12), 123001, 2012 | 145 | 2012 |
| Deep learning for tumor classification in imaging mass spectrometry J Behrmann, C Etmann, T Boskamp, R Casadonte, J Kriegsmann, P Maaβ Bioinformatics 34 (7), 1215-1223, 2018 | 142 | 2018 |
| Exploring three-dimensional matrix-assisted laser desorption/ionization imaging mass spectrometry data: three-dimensional spatial segmentation of mouse kidney D Trede, S Schiffler, M Becker, S Wirtz, K Steinhorst, J Strehlow, M Aichler, ... Analytical chemistry 84 (14), 6079-6087, 2012 | 141 | 2012 |
| Delay-range-dependent exponential H∞ synchronization of a class of delayed neural networks HR Karimi, P Maass Chaos, Solitons & Fractals 41 (3), 1125-1135, 2009 | 125 | 2009 |
| Regularization by architecture: A deep prior approach for inverse problems S Dittmer, T Kluth, P Maass, D Otero Baguer Journal of Mathematical Imaging and Vision 62, 456-470, 2020 | 115 | 2020 |
| Sparsity reconstruction in electrical impedance tomography: an experimental evaluation M Gehre, T Kluth, A Lipponen, B Jin, A Seppänen, JP Kaipio, P Maass Journal of Computational and Applied Mathematics 236 (8), 2126-2136, 2012 | 111 | 2012 |
| Minimization of Tikhonov functionals in Banach spaces T Bonesky, KS Kazimierski, P Maass, F Schöpfer, T Schuster Abstract and Applied Analysis 2008, 1-19, 2008 | 111 | 2008 |
| Biomarker discovery in MALDI-TOF serum protein profiles using discrete wavelet transformation T Alexandrov, J Decker, B Mertens, AM Deelder, RAEM Tollenaar, ... Bioinformatics 25 (5), 643-649, 2009 | 96 | 2009 |
| A generalized conditional gradient method for nonlinear operator equations with sparsity constraints T Bonesky, K Bredies, DA Lorenz, P Maass Inverse Problems 23 (5), 2041, 2007 | 94 | 2007 |
