Kristian Bredies, Jonathan Chirinos-Rodriguez and
Emanuele Naldi. Learning Firmly Nonexpansive
Operators. Submitted for publication, 2024.
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Kristian Bredies, José A. Iglesias and Daniel Walter.
On extremal points for some vectorial total variation
seminorms. Submitted for publication, 2024.
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Research articles
Alireza Hosseini and Kristian Bredies. A Second-Order
TGV Discretization with 90° Rotational Invariance
Property. Accepted for publication in
Journal of
Mathematical Imaging and Vision, 2024.
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Kristian Bredies, Marcello Carioni, Martin Holler,
Yury Korolev and Carola-Bibiane Schönlieb. A sparse
optimization approach to infinite infimal convolution
regularization.
Numerische Mathematik,
Online
first, 2024.
Enis Chenchene, Josef Fuchs, Bernd Luber and Kristian
Bredies. Proximal Gauss-Newton method for
box-constrained parameter identification of a
nonlinear railway suspension system.
International
Journal of Prognostics and Health Management,
15(2):3919,
2024.
Open
Access
Markus Huemer, Clemens Stilianu, Oliver Maier, Moritz
Simon Fabian, Manuel Schmidt, Arnd Doerfler, Kristian
Bredies, Moritz Zaiss and Rudolf Stollberger.
Improved quantification in CEST-MRI by joint spatial
total generalized variation.
Magnetic Resonance in
Medicine,
92(4):1683-1697,
2024.
Open
Access
Kristian Bredies, Jonathan Chirinos Rodriguez and
Emanuele Naldi. On extreme points and representer
theorems for the Lipschitz unit ball on finite metric
spaces.
Archiv der Mathematik,
122(6):651-658,
2024.
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Access
Kristian Bredies, Enis Chenchene and Emanuele Naldi.
Graph and distributed extensions of the
Douglas–Rachford method.
SIAM Journal on
Optimization,
34(2):1569-1594,
2024.
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Kristian Bredies, Marcello Carioni, Silvio Fanzon and
Daniel Walter. Asymptotic linear convergence of
fully-corrective generalized conditional gradient
methods.
Mathematical Programming,
205(1-2):135-202,
2024.
Open
Access
Kristian Bredies, José A. Iglesias and Gwenael
Mercier. Boundedness and unboundedness in total
variation regularization.
Applied Mathematics and
Optimization,
88(2):51,
2023.
Open
Access
Kristian Bredies, Marcello Carioni, Silvio Fanzon and
Francisco Romero. A generalized conditional gradient
method for dynamic inverse problems with optimal
transport regularization.
Foundations of
Computational Mathematics,
23(3):833-898,
2023.
Open
Access
Kristian Bredies, Marcello Carioni and Silvio Fanzon.
A superposition principle for the inhomogeneous
continuity equation with
Hellinger-Kantorovich-regular coefficients.
Communications in Partial Differential
Equations,
47(10):2023-2069,
2022.
Open
Access
Kristian Bredies, Enis Chenchene, Dirk A. Lorenz and
Emanuele Naldi. Degenerate preconditioned proximal
point algorithms.
SIAM Journal on
Optimization,
32(3):2376-2401,
2022.
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Kristian Bredies, Marcello Carioni and Martin Holler.
Regularization Graphs — A unified framework for
variational regularization of inverse problems.
Inverse Problems,
38(10):105006,
2022.
Open
Access
Anna Pukaluk, Anna-Sophie Wittgenstein, Gerd
Leitinger, Dagmar Kolb, Dominique Pernitsch, Sarah
Schneider, Patrick Knöbelreiter, Verena Horak,
Kristian Bredies, Gerhard Holzapfel, Thomas Pock and
Gerhard Sommer. An ultrastructural 3D reconstruction
method for observing the arrangement of collagen
fibrils and proteoglycans in the human aortic wall
under mechanical load.
Acta Biomaterialia,
141:300-314,
2022.
Open
Access
Carlos Milovic, Mathias Lambert, Christian
Langkammer, Kristian Bredies, Pablo Irarrazaval and
Cristian Tejos. Streaking artifact suppression of
quantitative susceptibility mapping reconstructions
via L1-norm data fidelity optimization (L1-QSM).
Magnetic Resonance in Medicine,
87(1):457-473,
2021.
Open
Access
Kristian Bredies, Marcello Carioni, Silvio Fanzon and
Francisco Romero. On the extremal points of the ball
of the Benamou-Brenier energy.
Bulletin of the
London Mathematical Society,
53(5):1436-1452,
2021.
Open
Access
Robert Beinert and Kristian Bredies. Tensor-free
proximal methods for lifted bilinear/quadratic
inverse problems with applications to phase
retrieval.
Foundations of Computational
Mathematics,
21(5):1181-1232,
2021.
Open
Access
Kristian Bredies and Richard Huber. Convergence
analysis of pixel-driven Radon and fanbeam
transforms.
SIAM Journal on Numerical
Analysis,
59(3):1399-1432,
2021.
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Oliver Maier, Stefan M. Spann, Daniela Pinter, Thomas
Gattringer, Nicole Hinteregger, Gerhard G.
Thallinger, Christian Enzinger, Josef Pfeuffer,
Kristian Bredies and Rudolf Stollberger. Non-linear
fitting with joint spatial regularization in arterial
spin labeling.
Medical Image Analysis,
71:102067, 2021.
Open
Access
Sandro Belz and Kristian Bredies. Approximation of
the Mumford-Shah Functional by phase fields of
bounded variation.
Analysis and Applications,
19(2):183-217,
2021.
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Kristian Bredies and Martin Holler. Higher-order
total variation approaches and generalisations.
Inverse Problems,
36(12):123001,
2020.
Open
Access
Kristian Bredies and Silvio Fanzon. An optimal
transport approach for solving dynamic inverse
problems in spaces of measures.
ESAIM:
Mathematical Modelling and Numerical Analysis,
54(6):2351-2382,
2020.
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Kristian Bredies, Robert Nuster and Raphael
Watschinger. TGV-regularized inversion of the Radon
transform for photoacoustic tomography.
Biomedical
Optics Express,
11(2):994-1019,
2020.
Open
Access
Kristian Bredies and Marcello Carioni. Sparsity of
solutions for variational inverse problems with
finite-dimensional data.
Calculus of Variations
and Partial Differential Equations,
59:14,
2020.
Open
Access
Kristian Bredies and David Vicente. A perfect
reconstruction property for PDE-constrained
total-variation minimization with application in
Quantitative Susceptibility Mapping.
ESAIM:
Control, Optimisation and Calculus of Variations,
25:83,
2019.
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Stefan Spann, Xingfeng Shao, Danny Wang, Christoph
Aigner, Matthias Schloegl, Kristian Bredies and
Rudolf Stollberger. Robust single-shot acquisition of
high resolution whole brain ASL images by combining
time-dependent 2D CAPIRINHA sampling with
spatio-temporal TGV reconstruction.
NeuroImage,
116337,
2019.
Richard Huber, Georg Haberfehlner, Martin Holler,
Gerald Kothleitner and Kristian Bredies. Total
Generalized Variation regularization for multi-modal
electron tomography.
Nanoscale,
11:5617-5632,
2019.
Open
Access
Oliver Maier, Jasper Schoormans, Matthias Schloegl,
Gustav J. Strijkers, Andreas Lesch, Thomas Benkert,
Tobias Block, Bram F. Coolen, Kristian Bredies and
Rudolf Stollberger. Rapid
quantification from high
resolution 3D data with model‐based
reconstruction.
Magnetic Resonance in
Medicine,
81(3):2072-2089,
2019.
Open
Access
Andreas Lesch, Matthias Schloegl, Martin Holler,
Kristian Bredies and Rudolf Stollberger. Ultrafast 3D
Bloch-Siegert
Mapping using Variational
Modeling.
Magnetic Resonance in Medicine,
81(2):881-892,
2019.
Open
Access
Robert Beinert and Kristian Bredies. Non-convex
regularization of bilinear and quadratic inverse
problems by tensorial lifting.
Inverse
Problems,
35(1):015002,
2019.
Open
Access
René Schranzer, Alexander Rauscher, Evelin
Haimburger, Kristian Bredies, Gernot Reishofer and
Günther Grabner. Noise reduction in FLAIR2 images
using Total Generalized Variation, Gaussian and
Wiener filtering.
Zeitschrift für Medizinische
Physik,
28(4):286-292,
2018.
Yiming Gao and Kristian Bredies. Infimal Convolution
of Oscillation Total Generalized Variation for the
Recovery of Images with Structured Texture.
SIAM
Journal on Imaging Sciences,
11(3):2021-2063,
2018.
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Kristian Bredies, Martin Holler, Martin Storath and
Andreas Weinmann. Total Generalized Variation for
Manifold-valued Data.
SIAM Journal on Imaging
Sciences,
11(3):1785-1848,
2018.
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C. Langkammer, F. Schweser, K. Shmueli, C. Kames, X.
Li, L. Guo, C. Milovic, J. Kim, H. Wei, K. Bredies,
S. Buch, Y. Guo, Z. Liu, J. Meineke, A. Rauscher, J.
P. Marques and B. Bilgic. Quantitative susceptibility
mapping: Report from the 2016 reconstruction
challenge.
Magnetic Resonance in Medicine,
79(3):1661-1673,
2018.
G. Schramm, M. Holler, A. Rezaei, K. Vunckx, F.
Knoll, K. Bredies, F. Boada and J. Nuyts. Evaluation
of Parallel Level Sets and Bowsher's Method as
Segmentation-Free Anatomical Priors for
Time-of-Flight PET Reconstruction.
IEEE
Transactions on Medical Imaging,
37(2):590-603,
2018.
Stefan Spann, Kamil S. Kazimierski, Christoph S.
Aigner, Markus Kraiger, Kristian Bredies and Rudolf
Stollberger. Spatio-temporal TGV denoising for ASL
perfusion imaging.
NeuroImage,
157:81-96,
2017.
Matthias Schloegl, Martin Holler, Andreas Schwarzl,
Kristian Bredies and Rudolf Stollberger. Infimal
Convolution of Total Generalized Variation
Functionals for dynamic MRI.
Magnetic Resonance in
Medicine,
78(1):142-155,
2017.
View at
Europe PMC
Kristian Bredies and Hongpeng Sun. A Proximal Point
Analysis of the Preconditioned Alternating Direction
Method of Multipliers.
Journal of Optimization
Theory and Applications,
173(3):878-907,
2017.
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Daniel Stäb, Steffen Bollmann, Christian Langkammer,
Kristian Bredies and Markus Barth. Accelerated
mapping of magnetic susceptibility using 3D
planes-on-a-paddlewheel (POP) EPI at ultra-high field
strength.
NMR in Biomedicine,
30(4), 2017.
Ferdinand Schweser, Simon Daniel Robinson, Ludovic de
Rochefort, Wei Lie and Kristian Bredies. An
illustrated comparison of processing methods for
phase MRI and QSM: removal of background field
contributions from sources outside the region of
interest.
NMR in Biomedicine,
30(4), 2017.
Simon Daniel Robinson, Kristian Bredies, Diana
Khabipova, Barbara Dymerska, José P. Marques and
Ferdinand Schweser. An illustrated comparison of
processing methods for MR phase imaging and QSM:
combining array coil signals and phase unwrapping.
NMR in Biomedicine,
30(4), 2017.
Open
Access
Florian Knoll, Martin Holler, Thomas Koesters,
Ricardo Otazo, Kristian Bredies and Daniel Sodickson.
Joint MR-PET reconstruction using a multi-channel
image regularizer.
IEEE Transactions on Medical
Imaging,
36(1):1-16,
2017.
Kristian Bredies, Barbara Kaltenbacher and Elena
Resmerita. The least error method for sparse solution
reconstruction.
Inverse Problems,
32:094001,
2016.
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A. Crozier, C. M. Augustin, A. Neic, A. J. Prassl, M.
Holler, T. E. Fastl, A. Hennemuth, K. Bredies, T.
Kuehne, M. J. Bishop, S. A. Niederer and G. Plank.
Image-Based Personalization of Cardiac Anatomy for
Coupled Electromechanical Modeling.
Annals of
Biomedical Engineering,
44(1):58-70,
2016.
Open
Access
Kristian Bredies and Martin Holler. A TGV-based
framework for variational image decompression,
zooming and reconstruction. Part I: Analytics.
SIAM Journal on Imaging Sciences,
8(4):2814-2850,
2015.
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Kristian Bredies and Martin Holler. A TGV-based
framework for variational image decompression,
zooming and reconstruction. Part II: Numerics.
SIAM Journal on Imaging Sciences,
8(4):2851-2886,
2015.
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Kristian Bredies, Dirk A. Lorenz and Stefan Reiterer.
Minimization of non-smooth, non-convex functionals by
iterative thresholding.
Journal of Optimization
Theory and Applications,
165(1):78-112,
2015.
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Christian Langkammer, Kristian Bredies, Benedikt A.
Poser, Markus Barth, Gernot Reishofer, Audrey Peiwen
Fan, Berkin Bilgic, Franz Fazekas, Caterina Mainero
and Stefan Ropele. Fast Quantitative Susceptibility
Mapping using 3D EPI and Total Generalized Variation.
NeuroImage,
111:622-630,
2015.
Konstantinos Papafitsoros and Kristian Bredies. A
study of the one dimensional total generalised
variation regularisation problem.
Inverse Problems
and Imaging,
9(2):511-550,
2015.
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Kristian Bredies and Hongpeng Sun. Preconditioned
Douglas-Rachford algorithms for TV and TGV
regularized variational imaging problems.
Journal
of Mathematical Imaging and Vision,
52(3):317-344,
2015.
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Kristian Bredies and Hongpeng Sun. Preconditioned
Douglas-Rachford splitting methods for convex-concave
saddle-point problems.
SIAM Journal on Numerical
Analysis,
53(1):421-444,
2015.
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Kristian Bredies, Thomas Pock and Benedikt Wirth. A
convex, lower semi-continuous approximation of
Euler's Elastica energy.
SIAM Journal on
Mathematical Analysis,
47(1):566-613,
2015.
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Kristian Bredies. Recovering piecewise smooth
multichannel images by minimization of convex
functionals with total generalized variation penalty.
Lecture Notes in Computer Science,
8293:44-77,
2014.
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Kristian Bredies and Martin Holler. Regularization of
linear inverse problems with total generalized
variation.
Journal of Inverse and Ill-posed
Problems,
22(6):871-913,
2014.
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Kristian Bredies, Marcus Wagner, Christian Schubert
and Peter Ahnelt. Computer-assisted counting of
retinal cells by automatic segmentation after TV
denoising.
BMC Ophthalmology,
13:59,
2013.
Open
Access
Kristian Bredies. Symmetric tensor fields of bounded
deformation.
Annali di Matematica Pura ed
Applicata,
192(5):815-851,
2013.
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Kristian Bredies, Thomas Pock and Benedikt Wirth.
Convex relaxation of a class of vertex penalizing
functionals.
Journal of Mathematical Imaging and
Vision,
47(3):278-302,
2013.
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Florian Knoll, Gerrit Schultz, Kristian Bredies,
Daniel Gallichan, Maxim Zaitsev, Jürgen Hennig and
Rudolf Stollberger. Reconstruction of undersampled
radial PatLoc imaging using Total Generalized
Variation.
Magnetic Resonance in Medicine,
70(1):40-52,
2013.
View at
Europe PMC
Tuomo Valkonen, Kristian Bredies and Florian Knoll.
Total Generalized Variation in Diffusion Tensor
Imaging.
SIAM Journal on Imaging Sciences,
6(1):487-525,
2013.
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Manuel Freiberger, Florian Knoll, Kristian Bredies,
Hermann Scharfetter and Rudolf Stollberger. The Agile
Library for Biomedical Image Reconstruction Using GPU
Acceleration.
Computing in Science &
Engineering,
15(1):34-44,
2013.
Kristian Bredies and Hanna Pikkarainen. Inverse
problems in spaces of measures.
ESAIM: Control,
Optimisation and Calculus of Variations,
19(1):190-218,
2013.
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Kristian Bredies and Mariya Zhariy. A
discrepancy-based parameter adaptation and stopping
rule for minimization algorithms aiming at
Tikhonov-type regularization.
Inverse
Problems,
29:025008,
2013.
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Kristian Bredies, Yiqiu Dong and Michael
Hintermüller. Spatially dependent regularization
parameter selection in total generalized variation
models for image restoration.
International
Journal of Computer Mathematics,
90(1):109-123,
2013.
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Kristian Bredies, Karl Kunisch and Tuomo Valkonen.
Properties of
-
: The one-dimensional case.
Journal of Mathematical Analysis and
Applications,
398(1):438-454,
2013.
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Heimo Wolinski, Kristian Bredies and Sepp D.
Kohlwein. Quantitative imaging of lipid metabolism in
yeast: from 4D analysis to high content screens of
mutant libraries.
Methods in Cell Biology,
108:345-365,
2012.
Florian Knoll, Christian Clason, Kristian Bredies,
Martin Uecker and Rudolf Stollberger. Parallel
Imaging with Nonlinear Reconstruction using
Variational Penalties.
Magnetic Resonance in
Medicine,
67(1):34-41,
2012.
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Kristian Bredies and Martin Holler. A
Total-Variation-based JPEG decompression model.
SIAM Journal on Imaging Sciences,
5(1):366-393,
2012.
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Kristian Bredies and Heimo Wolinski. An
active-contour based algorithm for the automated
segmentation of dense yeast populations on
transmission microscopy images.
Computing and
Visualization in Science,
14(7):341-352,
2011.
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Florian Knoll, Kristian Bredies, Thomas Pock and
Rudolf Stollberger. Second order total generalized
variation (TGV) for MRI.
Magnetic Resonance in
Medicine,
65(2):480-491,
2011.
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PDF
Kristian Bredies, Karl Kunisch and Thomas Pock. Total
generalized variation.
SIAM Journal on Imaging
Sciences,
3(3):492-526,
2010.
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Kristian Bredies and Dirk A. Lorenz. Regularization
with non-convex separable constraints.
Inverse
Problems,
25:085011,
2009.
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PDF
Kristian Bredies. Weak solutions of linear degenerate
parabolic equations and an application in image
processing.
Communications on Pure and Applied
Analysis,
8(4):1203-1229,
2009.
Kristian Bredies, Dirk A. Lorenz and Peter Maass. A
generalized conditional gradient method and its
connection to an iterative shrinkage method.
Computational Optimization and Applications,
42(2):173-193,
2009.
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Kristian Bredies. A forward-backward splitting
algorithm for the minimization of non-smooth convex
functionals in Banach space.
Inverse Problems,
25:015005,
2009.
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PDF
Kristian Bredies and Dirk A. Lorenz. Linear
convergence of iterative soft-thresholding.
Journal of Fourier Analysis and Applications,
14(5-6):813-837,
2008.
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Kristian Bredies and Dirk A. Lorenz. Iterated hard
shrinkage for minimization problems with sparsity
constraints.
SIAM Journal on Scientific
Computing,
30(2):657-683,
2008.
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PDF
Thomas Bonesky, Kristian Bredies, Dirk A. Lorenz and
Peter Maass. A generalized conditional gradient
method for non-linear operator equations with
sparsity constraints.
Inverse Problems,
23(5):2041-2058,
2007.
Kristian Bredies, Dirk A. Lorenz and Peter Maass.
Mathematical concepts of multiscale smoothing.
Applied Computational and Harmonic Analysis,
19(2):141-161,
2005.
Elsevier
Open Archive
Kristian Bredies and Enis Chenchene. Regularized
Bregman Approach for Total-Variation Parameter
Learning.
In: Proceedings of the OAGM Workshop
2023, 2 p., 2023.
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PDF
Enis Chenchene, Alireza Hosseini and Kristian
Bredies. A hybrid proximal generalized conditional
gradient method and application to total variation
parameter learning.
In: 2023 European Control
Conference (ECC),
pp.
322-327, 2023.
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PDF
Verena Horak and Kristian Bredies. A Two-Stage
Classifier for Collagen in Electron Tomography Images
using a Convolutional Neural Network and TV
Segmentation.
In: Proceedings of the ARW &
OAGM Workshop 2019,
pp.
209-210, 2019.
Open
Access
Florian Knoll, Martin Holler, Thomas Koesters,
Kristian Bredies and Daniel K. Sodickson.
Simultaneous PET-MRI reconstruction with vectorial
second order total generalized variation.
In:
Proceedings of the 2015 IEEE Nuclear Science
Symposium and Medical Imaging Conference
(NSS/MIC),
pp.
1-4, 2016.
Richard Huber, Martin Holler and Kristian Bredies.
Graph-Laplacian minimisation for surface smoothing in
3D finite element tetrahedral meshes.
In:
Proceedings of the 1st OAGM-ARW Joint Workshop -
Vision Meets Robotics, pp. 53-60, 2016.
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PDF
Kristian Bredies and Martin Holler. Artifact-Free
Variational MPEG Decompression.
In: Scale Space
and Variational Methods in Computer Vision. Lecture
Notes in Computer Science,
9087:216-228,
2015.
René Ranftl, Kristian Bredies and Thomas Pock.
Non-local total generalized variation for optical
flow estimation.
In: Computer Vision - ECCV 2014.
Lecture Notes in Computer Science,
8689:439-454,
2014.
Clemens Schiffer and Kristian Bredies. Sinogram
constrained TV-minimization for metal artifact
reduction in CT.
In: Proceedings of The 38th
Annual Workshop of the Austrian Association for
Pattern Recognition (ÖAGM), 2014.
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PDF
Kristian Bredies, Florian Knoll and Christian
Langkammer. TGV regularization for variational
approaches to quantitative susceptibility mapping.
In: Proceedings of the 2nd International Workshop
on MRI Phase Contrast & Quantitative
Susceptibility Mapping (QSM). Ithaca, New York
(USA), pp. 45-48, 2013.
Download PDF
Tuomo Valkonen, Kristian Bredies and Florian Knoll.
TGV for diffusion tensors: A comparison of fidelity
functions.
In: Recent Progress in Regularization
Theory, Minisymposium M5 of the 6th International
Conference Inverse Problems: Modeling and Simulation.
Journal of Inverse and Ill-Posed Problems,
21(3):355-377,
2013.
Kristian Bredies and Martin Holler. A TGV Regularized
Wavelet Based Zooming Model.
In: Scale Space and
Variational Methods in Computer Vision. Lecture Notes
in Computer Science,
7893:149-160,
2013.
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Kristian Bredies and Martin Holler. Artifact-free
decompression and zooming of JPEG compressed images
with total generalized variation.
In: Computer
Vision, Imaging and Computer Graphics. Theory and
Application. Communications in Computer and
Information Science,
359:242-258,
2013.
Kristian Bredies, Martin Holler, Florian Knoll, Karl
Kunisch, Michael Pienn, Rudolf Stollberger and Tuomo
Valkonen. Total generalized variation and
applications to inverse problems in medical imaging.
Oberwolfach Report 51/2012: Computational Inverse
Problems, 9(4):3119-3121, 2012.
Kristian Bredies and Martin Holler. Artifact-free
JPEG decompression with total generalized variation.
Proceedings of VISAPP 2012 - International Joint
Conference on Computer Vision, Imaging and Computer
Graphics Theory and Applications, pp. 12-21,
2012.
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PDF
Kristian Bredies and Tuomo Valkonen. Inverse problems
with second-order total generalized variation
constraints.
Proceedings of SampTA 2011 - 9th
International Conference on Sampling Theory and
Applications, Singapore, 2011.
Download PDF
Kristian Bredies. Variational Imaging with
-regularization.
Oberwolfach Report 07/2011: Trends in Mathematical
Imaging and Surface Processing, 8(1):310-316,
2011.
Kristian Bredies. An iterative thresholding-like
algorithm for inverse problems with sparsity
constraints in Banach space.
Journal of Inverse
and Ill-Posed Problems, Minisymposium - Recent
progress in regularization theory, 4th International
Conference: Inverse Problems: Modeling and
Simulation, Fethiye 2008,
17(1):19-26,
2009.
Kristian Bredies, Theodore Alexandrov, Jens Decker,
Dirk A. Lorenz, and Herbert Thiele. Sparse
deconvolution for peak picking and ion charge
estimation in mass spectrometry. Proceedings of
the 15th European Conference on Mathematics for
Industry, 2008.
Dirk Lorenz and Kristian Bredies. On the convergence
speed of iterative methods for linear inverse
problems with sparsity constraints.
Journal of
Physics: Conference Series 124:012031,
2008.
Dirk Lorenz and Kristian Bredies. Iterated
hard-thresholding for linear inverse problems with
sparsity constraints. Proceedings in Applied
Mathematics and Mechanics, Special Issue: Sixth
International Congress on Industrial Applied
Mathematics (ICIAM07) and GAMM Annual Meeting, Zürich
2007, 7(1):2060061-2060062, 2008.
M. Kulesh, B. Berkels, K. Bredies, C. Garbe, J. F.
Acher, M. S. Diallo, M. Droske, M. Holschneider, J.
Hron, C. Kondermann, P. Maass, N. Olischläger, H.-O.
Peitgen, T. Preusser, M. Rumpf, F. Scherbaum, S.
Turek. Inverse Problems and Parameter Identification
in Image Processing. Mathematical Methods in Time
Series Analysis and Digital Image Processing,
Springer Verlag, 111-152, 2007.
Peter Maass, Thomas Bonesky, Kristian Bredies and
Dirk Lorenz. On the minimization of non-convex,
non-differentiable functionals with an application to
SPECT. Oberwolfach Report 34/2006: Mathematical
Methods in Tomography, Oberwolfach Reports,
3(3):2076-2080, 2006.
Kristian Bredies, Dirk A. Lorenz and Peter Maass. An
optimal control problem in image processing.
Proceedings in Applied Mathematics and
Mechanics, 6:859-860, 2006.
Kristian Bredies, Dirk A. Lorenz and Peter Maass. An
optimal control problem in medical image processing.
Systems, Control, Modeling and Optimization
Proceedings of the 22nd IFIP TC7 Conference held from
July 18-22, 2005, in Turin, Italy, 2005.
Kristian Bredies, Dirk A. Lorenz, Peter Maass and
Gerd Teschke. A partial differential equation for
continuous non-linear shrinkage filtering and its
application for analyzing MMG data. Proceedings of
SPIE Conference Photonics East 2003, 5266:84-93,
2004.