Preprints 2020

  • Nr. 73 Deep synthesis regularization of inverse problems
    D. Obman, J. Schwab, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 72 Multi-Scale factorization of the wave equation with application to compressed sensing photoacoustic tomography
    G. Zangerl, M. Haltmeier
    [Download PDFpdf button][arxiv.org]

  • Nr. 71 Regularization of inverse problems by neural networks
    M. Haltmeier, L.V. Nguyen
    [Download PDFpdf button][arxiv.org]

  • Nr. 70 Sparse aNETT for solving inverse problems with deep learning
    D. Obmann, L. Nguyen, J. Schwab, M. Haltmeier
    [Download PDFpdf button ][arxiv.org]
  • Nr. 69 The conical radon transform with vertices on triple lines
    M. Haltmeier, S. Moon
    [Download PDFpdf button ][arxiv.org]
  • Nr. 68 Unsupervised adaptive neural network regularization for accelerated radial cine MRI
    A. Kofler, M. Dewey, T. Schaeffter, C. Kolbitsch, M. Haltmeier
    [Download PDFpdf button ][arxiv.org]
  • Nr. 67 Data-consistent neural networks for solving nonlinear inverse problems
    Y. E. Boink, M. Haltmeier, S. Holman, J. Schwab
    [Download PDFpdf button][arxiv.org]
  • Nr. 66 Neural networks-based regularization for large-scale medical image reconstruction
    A. Kofler, M. Haltmeier, T. Schaeffter, M. Kachelriess, M. Dewey, C. Wald, and C. Kolbitsch
    [Download PDFpdf button][arxiv.org]

 

Preprints 2019

  • Nr. 65 Monotonicity of escape probabilities for branching random walks on Zd
    A. Tzioufas
    [Download PDFpdf button][arxiv.org]
  • Nr. 64 Sparse regularization of inverse problems by operator-dapted frame thresholding
    J. Frikel, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 63 Projection-Based 2.5D U-net architecture for fast volumetric segmentation
    C. Angermann, M. Haltmeier, R. Steiger, S. Pereverzyev Jr., E. Gizewski
    [Download PDFpdf button][arxiv.org]
  • Nr. 62 Explicit inversion formulas for the two-dimensional wave equation from Neuman Traces
    F. Dreier, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 61 Analysis of the block coordinate descent method for linear Ill-Posed problems
    S. Rabanser, L. Neumann, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 60 Sparse synthesis regularization with deep neural networks
    D. Obmann, J. Schwab, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 59 Projection-Based 2.5D U-net architecture for fast volumetric segmentation
    C. Angermann, M. Haltmeier, R. Steiger, S. Pereverzyev Jr., E. Gizewski
    [Download PDFpdf button][arxiv.org]
  • Nr. 58 NETT regularization for compressed sensing photoacoustic tomography
    S. Antholzer, J. Schwab, J.Bauer-Marschallinger, P. Burgholzer, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 57 Deep learning versus l 1 -minimization for compressed sensing photoacoustic tomography
    S. Antholzer, J. Schwab, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 56 Photoacoustic tomography with direction dependent data: An exact series reconstruction approach
    G. Zangerl, S. Moon, M. Haltmeier
    [Download PDFpdf button][arxiv.org]
  • Nr. 55 Big in Japan: Regularizing networks for solving inverse problems
    J. Schwab, S. Antholzer, M. Haltmeier
    [Download PDFpdf button][arxiv.org]

 

Preprints 2018

  • Nr. 54 Variational regularization of the weighted conical Radon transform
    M. Haltmeier, D. Schiefeneder
    [Download PDF pdf button][arxiv.org]
  • Nr. 53 Full field inversion in photoacoustic tomography with variable sound speed
    G. Zangerl, M. Haltmeier, L. V. Nguyen, R. Nuster
    [Download PDF pdf button][arxiv.org]
  • Nr. 52 Image based fashion product recommendation with deep learning
    H. Tuinhof, C. Pirker, M. Haltmeier
    [Download PDF pdf button][arxiv.org]
  • Nr. 51 NETT: Solving inverse problems with deep neural networks
    H. Li, J. Schwab, S. Antholzer, M. Haltmeier
    [Download PDF pdf button][arxiv.org]
  • Nr. 50 Deep null space learning for inverse problems: Convergence analysis and rates
    J. Schwab, S. Antholzer, M. Haltmeier
    [Download PDF pdf button][arxiv.org]
  • Nr. 49 Compressed sensing for multiple excitation magnetorelaxometry imaging
    M. Haltmeier, G. Zangerl, P. Schier, D. Baumgarten
    [Dowload PDF pdf button] [arxiv.org]
  • Nr. 48 Photoacoustic image reconstruction via deep learning
    S. Antholzer, M. Haltmeier, R. Nuster, J. Schwab
    [Download PDF pdf button]
  • Nr. 47 Reconstruction algorithms for photoacoustic tomography in heterogenous damping media
    L. V. Nguyen, M. Haltmeier
    [Download PDF pdf button]
  • Nr. 46 Stochastic proximal gradient algorithms for multi-source quantitative photoacoustic tomography
    S. Rabanser, L. Neumann, M. Haltmeier
    [Download PDF pdf button] [arxiv.org]
  • Nr. 44 A New sparsification and reconstruction strategy for compressed sensing photoacoustic tomography
    M. Haltmeier, M. Sandbichler, T. Berer, J. Bauer-Marschallinger, P. Burholzer, L. Nguyen
    [Download PDF pdf button] [arxiv.org]

Preprints 2017

  • Nr. 43 A framework for compressive time-of flight 3D sensing
    S. Antholzer, C. Wolf, M. Sandbichler, M. Dielacher and M. Haltmeier
    [Download PDF pdf button] [arxiv.org]
  • Nr. 42 The quasi-optimality criterion in the linear functional strategy
    S. Kindermann, S. Pereverzyev Jr., A. Pilipenko
    [Download PDF pdf button] [arxiv.org]
  • Nr. 41 The averaged Kaczmarz iteration for solving inverse problems
    H. Li, M. Haltmeier
    [Download PDFpdf button] [arxiv.org]
  • Nr. 40 Regularized Nyström subsampling in regression and ranking problems under general smoothness assumptions
    G.L. Myleiko, S. Pereverzyev Jr., S.G. Solodky
    [Download PDF pdf button]
  • Nr. 39 On the configuration space of planar closed kinematic chains
    G. Zangerl
    [Download PDF  pdf button]
  • Nr. 38 Operator learning approach for the limited view problem in photoacoustic tomography
    F. Dreier, S. Pereverzyev Jr., M. Haltmeier
    [Download PDF pdf button] [arxiv.org]
  • Nr. 37 Iterative methods for photoacoustic tomography in attenuating acoustic media
    M. Haltmeier, R. Kowar, L. V. Nguyen
    [Download PDF pdf button] [arxiv.org]
  • Nr. 36 Total variation minimization compressed sensing
    F. Krahmer, C. Kruschel, M. Sandbichler
    [Download PDF pdf button] [arxiv.org]
  • Nr. 33 Deep learning for photoacoustic tomography from sparse data
    S. Antholzer, M. Haltmeier, J. Schwab
    [Download PDFpdf button] [arxiv.org]
  • Nr. 32 Efficient regularization with wavelet sparsity constraints in PAT
    J. Frikel, M. Haltmeier
    [Download PDF pdf button] [arxiv.org]
  • Nr. 31 Analysis of the linearized problem of quantitative photoacoustic tomography
    M. Haltmeier, L. Neumann, L. V. Nguyen, S. Rabanser
    [Download PDF pdf button] [arxiv.org]
  • Nr. 30 A Galerkin least squares approach for photoacoustic tomography
    J. Schwab, S. Pereverzyev Jr., M. Haltmeier
    [Download PDF  pdf button] [arxiv.org]

 

Preprints 2016

  • Nr. 29 Iterative methods for photoacoustic tomography with variable sound speed
    M. Haltmeier, L. V. Nguyen
    [Download PDF pdf button] [arxiv.org]
  • Nr. 28 A machine learning framework for customer purchase prediction in the non-contractual setting
    A. Martínez, C. Schmuck, S. Pereverzyev Jr., C. Pirker, M. Haltmeier
    [Download PDF pdf button]
  • Nr. 27 Inversion of the attenuated V-line transform for SPECT with Compton cameras
    M. Haltmeier, S. Moon, D. Schiefeneder
    [Download PDF pdf button] [arxiv.org]
  • Nr. 26 Analytic inversion of a conical Radon transform arising in application of Compton cameras on the cylinder
    S. Moon, M. Haltmeier
    [Download PDF pdf button] [arxiv.org]
  • Nr. 25 The Radon Transform over cones with vertices on the sphere and orthogonal axes
    D. Schiefeneder, M. Haltmeier
    [Download PDF pdf button] [arxiv.org]
  • Nr. 24 Compressed sensing and sparsity in photoacoustic tomography
    M. Haltmeier, T. Berer, S. Moon and P. Burgholzer
    [Download PDF pdf button]
  • Nr. 23 Convergence radius and sample complexity of ITKM algorithms for dictionary learning
    K. Schnass
    [Download PDF pdf button]
  • Nr. 22 Nyström type subsampling analyzed as a regularized projection
    G. Kriukova, S. Pereverzyev Jr., P. Tkachenko
    [Download PDF pdf button]

 

Preprints 2015

  • Nr. 21 Sampling conditions for the circular Radon Transform
    M. Haltmeier
    [Download PDF pdf button]
  • Nr. 20 A parameter choice strategy for the inversion of multiple observations
    C. Gerhards, S. Pereverzyev Jr., P. Tkachenko
    [Download PDF pdf button]
  • Nr. 19 Single-stage reconstruction algorithm for quantitative photoacoustic tomography
    M. Haltmeier, L. Neumann, S. Rabanser
    [Download PDF pdf button]
  • Nr. 18 Aggregation of regularized solutions from multiple observation modules
    J. Chen, S. Pereverzev Jr., Y. Xu
    [Download PDF pdf button]
  • Nr. 17 The spherical Radon transform with centers on cylindrical surfaces
    M. Haltmeier, S. Moon
    [Download PDF pdf button]
  • Nr. 16 A novel compressed sensing scheme for photoacoustic tomography
    M. Sandbichler, F. Krahmer, T. Berer, P. Burgholzer, M. Haltmeier
    [Download PDF pdf button]

 

Preprints 2014

  • Nr. 15 The universal back-projection formula for spherical means and the wave equation on certain quadric hypersurfaces
    M. Haltmeier, S. Pereverzyev Jr.
    [Download PDF ]
  • Nr. 14 Introduction to the mathematics of computed tomography
    M. Haltmeier, S. Pereverzyev Jr.
    [Download PDF ]
  • Nr. 13 Exact reconstruction formula for the spherical mean - Radon Transformation on ellipsoids
    M. Haltmeier
    [Download PDF ]
  • Nr. 12 Recovering a function from circular means or wave data on the boundary of parabolic domains
    M. Haltmeier, S. Pereverzyev Jr.
    [Download PDF ]
  • Nr. 11 Multi-penalty regularization for detecting relevant variables
    K. Hlavackova-Schindler, V. Naumova, S. Pereverzyev Jr.
    [Download PDF ]
  • Nr. 10 On the nonlocality of state and wave equation of Treeby and Cox
    R. Kowar
    [Download PDF ]

 

Preprints 2013

  • Nr. 9 Graphical Lasso Granger Method with 2-levels-thresholding for recovering causality networks
    S. Pereverzyve Jr., K. Hlavackova-Schindler
    [Download PDF ]
  • Nr. 8 Exact reconstruction formulas for a Radon transform over cones
    M. Haltmeier
    [Download PDF ]
  • Nr. 7 Time reversal for photoacoustic tomography based on the wave equation of Neuman, Smith and Waag
    R. Kowar
    [Download PDF ]
  • Nr. 6 On time reversal in photoacoustic tomography for tissue similar to water
    R. Kowar
    [Download PDF ]
  • Nr. 5 Aggregated motion estimation for image reconstruction in real-time MRI
    H. Li, M. Haltmeier, S. Zhang, J. Frahm and A. Munk
    [Download PDF ]
  • Nr. 4 Extreme value analysis of empirical frame coefficients and implications for densoring by soft-thresholding
    M. Haltmeier, A. Munk
    [Download PDF ]
  • Nr. 3 Universal inversion formulas for recovering a function from spherical means
    M. Haltmeier
    [Download PDF ]
  • Nr. 2 Inversion of circular means and the wave equation on convex planar domains
    M. Haltmeier
    [Download PDF ]
  • Nr.1 Stable signal reconstruction via l1-minimization in redundant, non-tight frames
    M. Haltmeier
    [Download PDF ]