Martin Holler
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
A total variation–based JPEG decompression model
K Bredies, M Holler
SIAM Journal on Imaging Sciences 5 (1), 366-393, 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
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
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
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
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
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
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
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
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
A TGV regularized wavelet based zooming model
K Bredies, M Holler
International Conference on Scale Space and Variational Methods in Computer …, 2013
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
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
Higher-order total variation approaches and generalisations
K Bredies, M Holler
Inverse Problems 36 (12), 123001, 2020
Coupled regularization with multiple data discrepancies
M Holler, R Huber, F Knoll
Inverse problems 34 (8), 084003, 2018
Artifact-free JPEG Decompression with Total Generalized Variation.
K Bredies, M Holler
VISAPP (1), 12-21, 2012
A pointwise characterization of the subdifferential of the total variation functional
K Bredies, M Holler
arXiv preprint arXiv:1609.08918, 2016
A convex variational model for learning convolutional image atoms from incomplete data
A Chambolle, M Holler, T Pock
Journal of Mathematical Imaging and Vision 62 (3), 417-444, 2020
A generative variational model for inverse problems in imaging
A Habring, M Holler
SIAM Journal on Mathematics of Data Science 4 (1), 306-335, 2022
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