Joint MR-PET reconstruction using a multi-channel image regularizer F Knoll, M Holler, T Koesters, R Otazo, K Bredies, DK Sodickson IEEE transactions on medical imaging 36 (1), 1-16, 2016 | 85 | 2016 |
A total variation–based JPEG decompression model K Bredies, M Holler SIAM Journal on Imaging Sciences 5 (1), 366-393, 2012 | 72 | 2012 |
Regularization of linear inverse problems with total generalized variation K Bredies, M Holler Journal of inverse and ill-posed problems 22 (6), 871-913, 2014 | 69 | 2014 |
A TGV-based framework for variational image decompression, zooming, and reconstruction. Part I: Analytics K Bredies, M Holler SIAM Journal on Imaging Sciences 8 (4), 2814-2850, 2015 | 57 | 2015 |
On infimal convolution of TV-type functionals and applications to video and image reconstruction M Holler, K Kunisch SIAM Journal on Imaging Sciences 7 (4), 2258-2300, 2014 | 50 | 2014 |
Infimal convolution of total generalized variation functionals for dynamic MRI M Schloegl, M Holler, A Schwarzl, K Bredies, R Stollberger Magnetic resonance in medicine 78 (1), 142-155, 2017 | 41 | 2017 |
Image-based personalization of cardiac anatomy for coupled electromechanical modeling A Crozier, CM Augustin, A Neic, AJ Prassl, M Holler, TE Fastl, ... Annals of biomedical engineering 44 (1), 58-70, 2016 | 37 | 2016 |
A TGV-based framework for variational image decompression, zooming, and reconstruction. Part II: Numerics K Bredies, M Holler SIAM Journal on Imaging Sciences 8 (4), 2851-2886, 2015 | 35 | 2015 |
Evaluation of parallel level sets and Bowsher’s method as segmentation-free anatomical priors for time-of-flight PET reconstruction G Schramm, M Holler, A Rezaei, K Vunckx, F Knoll, K Bredies, F Boada, ... IEEE transactions on medical imaging 37 (2), 590-603, 2017 | 27 | 2017 |
Total generalized variation for manifold-valued data K Bredies, M Holler, M Storath, A Weinmann SIAM Journal on Imaging Sciences 11 (3), 1785-1848, 2018 | 22 | 2018 |
A TGV regularized wavelet based zooming model K Bredies, M Holler International Conference on Scale Space and Variational Methods in Computer …, 2013 | 18 | 2013 |
Artifact-free decompression and zooming of JPEG compressed images with total generalized variation K Bredies, M Holler Computer Vision, Imaging and Computer Graphics. Theory and Application, 242-258, 2013 | 17 | 2013 |
A function space framework for structural total variation regularization with applications in inverse problems M Hintermüller, M Holler, K Papafitsoros Inverse Problems 34 (6), 064002, 2018 | 16 | 2018 |
Total generalized variation regularization for multi-modal electron tomography R Huber, G Haberfehlner, M Holler, G Kothleitner, K Bredies nanoscale 11 (12), 5617-5632, 2019 | 14 | 2019 |
Coupled regularization with multiple data discrepancies M Holler, R Huber, F Knoll Inverse problems 34 (8), 084003, 2018 | 14 | 2018 |
Artifact-free JPEG Decompression with Total Generalized Variation. K Bredies, M Holler VISAPP (1), 12-21, 2012 | 14 | 2012 |
A pointwise characterization of the subdifferential of the total variation functional K Bredies, M Holler arXiv preprint arXiv:1609.08918, 2016 | 9 | 2016 |
Ultrafast 3D Bloch–Siegert B‐mapping using variational modeling A Lesch, M Schlöegl, M Holler, K Bredies, R Stollberger Magnetic resonance in medicine 81 (2), 881-892, 2019 | 8 | 2019 |
Higher order regularization for model based data decompression M Holler na, 2013 | 4 | 2013 |
Simultaneous PET-MRI reconstruction with vectorial second order total generalized variation F Knoll, M Holler, T Koesters, K Bredies, DK Sodickson 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2015 | 3 | 2015 |