Peter Maass
Peter Maass
Professor Mathematics, University of Bremen
Verified email at
Cited by
Cited by
Solving inverse problems using data-driven models
S Arridge, P Maass, O Öktem, CB Schönlieb
Acta Numerica 28, 1-174, 2019
Wavelets: theory and applications
AK Louis, P Maass, A Rieder
(No Title), 1997
Wavelets: Theorie und Anwendungen
AK Louis, P Maaß, A Rieder
Springer-Verlag, 2013
A mollifier method for linear operator equations of the first kind
AK Louis, P Maass
Inverse problems 6 (3), 427, 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
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
On the connection between adversarial robustness and saliency map interpretability
C Etmann, S Lunz, P Maass, CB Schönlieb
arXiv preprint arXiv:1905.04172, 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
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
Fast CG-based methods for Tikhonov--Phillips regularization
A Frommer, P Maass
SIAM Journal on Scientific Computing 20 (5), 1831-1850, 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
Sparsity regularization for parameter identification problems
B Jin, P Maass
Inverse Problems 28 (12), 123001, 2012
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
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
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
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
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
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
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
The interior Radon transform
P Maass
SIAM Journal on Applied Mathematics 52 (3), 710-724, 1992
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