Submitted

  • Big in Japan: Regularizing Networks for Solving Inverse Problems
    J. Schwab, S. Antholzer, M. Haltmeier
    Submitted, 2019 [pdf pdf button][arxiv.org]
  • Sparse regularization of inverse problems by biorthogonal frame thresholding
    J. Frikel, M. Haltmeier
    Submitted, 2019 [pdf pdf button] [arxiv.org]
  • Explicit inversion formulas for the two-dimensional wave equation from Neumann traces
    F. Dreier, M. Haltmeier
    Submitted, 2019 [pdf pdf button] [arxiv.org]
  • NETT: solving inverse problems with deep neural networks
    H. Li, J. Schwab, S. Antholzer, M. Haltmeier
    Submitted, 2018 [pdf pdf button] [arxiv.org]

 

Published 2019

  • Full field inversion in photoacoustic tomography with variable sound speed
    G. Zangerl. M. Haltmeier, L.V. Nguyen,R.Nuster
    Appl Sci 9(8):1563, 2019 [arxiv.org]
  • A machine learning framework for customer purchase prediction in the non-contractual setting
    A. Martínez, C. Schmuck, S. Pereverzyev Jr., C. Pirker, M. Haltmeier
    in press, 2019 [pdf pdf button]
  • Photoacoustic image reconstruction from full field data in heterogeneous media
    M. Haltmeier, G. Zangerl, L.V. Nguyen, R. Nuster
    Proc. SPIE, Vol. 10878, 2019
  • Deep Learning of truncated singular values for limited view photoacoustic tomography
    J. Schwab, S. Antholzer, R. Nuster, G. Paltauf, M. Haltmeier
    Porc. SPIE, Vol. 10878, 2019
  • Learned backprojection for sparse and limited view photoacoustic tomography
    J. Schwab, S. Antholzer, M. Haltmeier
    Proc. SPIE, Vol. 10878, 2019
  • NETT regularization for compressed sensing photoacousic tomography
    A. Antholzer, J. Schwab, J. Bauer-Marschallinger, P. Burgholzer, M. Haltmeier
    Proc. SPIE, Vol. 10878, 2019
  • Compressive time-of-flight 3D imaging using block-structured sensing matrices
    S. Antholzer, C. Wolf, M. Sandbichler, M. Dielacher and M. Haltmeier
    Inverse Probl 35(04), pp.18, 2019 [pdf pdf button] [arxiv.org]

 

Published 2018

  • Pipe failure modelling for water distribution networks using boosted decision trees
    D. Winkler, M. Haltmeier, M. Kleindorfer, W. Rauch, F. Tscheikner-Gratl
    Struct Infrastruct E 14(10), pp.1402-1411, 2018
  • A new sparsification and reconstruction strategy for compressed sensing photoacoustic tomography
    M. Haltmeier, M. Sandbichler, T. Berer, J. Bauer-Marschallinger, P. Burgholzer, L. Nguyen
    J. Acoust Soc Am 143(6), 3838, 2018 [pdf pdf button] [arxiv.org]
  • Photoacoustic image reconstruction via deep learning
    S. Antholzer, M. Haltmeier, R. Nuster, J. Schwab
    Proc. SPIE 10494:104944U, 2018 [pdf pdf button]
  • Stochastic proximal gradient algorithms for multi-source quantitative photoacoustic tomography
    S. Rabanser, L. Neumann, M. Haltmeier
    Entropy, 20(2):121, 2018 [pdf pdf button] [arxiv.org]
  • Galaxy and mass assembly: automatic morphological classification of galaxies using statistical learning
    S. Sreejith, S. Pereverzyev Jr., L.S. Kelvin, F. Marleau, M. Haltmeier, J. Ebner, et al.
    Mon. Notices Royal Astron Soc 474(4), pp.5232-5258, 2018

 

Published 2017

  • Low-rank approximation for FMCW automotive radar
    J. Sappl, P. Meissner, M. Haltmeier
    Proc. SampTA (IEEE), 2017
  • Compressive time-of-flight imaging
    S. Antholzer, C. Wolf, M. Sandbichler, M. Dielacher, M. Haltmeier
    Proc. SampTA (IEEE), 2017
  • Super-resolution photoacoustic microscopy using joint sparsity
    P. Burgholzer, M. Haltmeier, T. Berer, E. Leiss-Holzinger, T. W. Murray
    Proc. SPIE. 10415:1041506, 2017
  • Nyström type subsampling analyzed as a regularized projection
    G. Kriukova, S. Pereverzyev Jr., P. Tkachenko
    Inverse Probl 33(7):074001, 2017 [pdf pdf button]
  • Compressed sensing in photoacoustic imaging and application for planar detection geometries
    T. Berer, P. Burgholzer, M. Haltmeier
    Proc. SPIE 10064:100642, 2017
  • Super-resolution photoacoustic microscopy using blind structured illumination
    T. W. Murray, M. Haltmeier, T. Berer, E. Leiss-Holzinger and P. Burgholzer
    Optica 4(1), pp.17-22, 2017

 

Published 2016

  • Compressed sensing and sparsity in photoacoustic tomography
    M. Haltmeier, T. Berer, S. Moon and P. Burgholzer
    J Opt 18(11), 2016
  • Sparsifying transformations of photoacoustic signals enabling compressed sensing algorithms
    P. Burgholzer, M. Sandbichler, F. Krahmer, T. Berer, M. Haltmeier
    Proc. SPIE 9708:970828, 2016

 

Published 2015

  • Mapping molecules in scanning far-field fluorescence nanoscopy
    T. Haisen, J. Keller, M. Haltmeier, S.K. Saka, J. Schmied, F. Opazo, P. Tinnefeld, A. Munk, S.W Hell
    Nat Commun, 6, 7977, 2015
  • Single-stage reconstruction algorithm for quantitative photoacoustic tomography
    M. Haltmeier, L. Neumann, S. Rabanser
    Inverse Probl 31(6):065005, 2015 [pdf pdf button]

 

Published 2014

  • Graphical Lasso Granger method with 2-levels-thresholding for recovering causality networks
    S. Pereverzyev Jr., K. Hlavackova-Schindler
    Chapter in C. Pötzsche, C. Heuberger, B. Kaltenbacher, F. Rendl: System Modeling and Optimization 443, pp.220-229, 2014 [pdf pdf button]

  • Deblurring algorithms accounting for the finite detector size in photoacoustic tomography
    H. Roitner, M. Haltmeier, T. Berer, H. Grün, D.P. O'Leary, R. Nuster, G. Paltauf, P. Burgholzer
    J Biomed Opt 19(5):056011, 2014
  • Parameter identification for an advanced material model for intact rock
    D. Unteregger, G. Hofstetter, M. Haltmeier, A. Ostermann
    Chapter 37 in M. A, Hicks, R. B, J, Brinkgreve, A. Rohe (Editors): Proc. NUMGE 2014, pp.215-220, 2014
  • Spatial over-sampling and its influence on spatial resolution for photoacoustic tomography with finite sized detectors
    P. Burgholzer, H. Roitner, T. Berer, H. Grün, R. Nuster, G. Paltauf, M. Haltmeier
    Proc. SPIE 8943:89432K, 2014

 

Published 2013

  • Deconvolution algorithms for photoacoustic tomography to reduce blurring caused by finite sized detectors
    P. Burgholzer, H. Roitner, T. Berer, H. Grün, D.P. O'Leary, R. Nuster, G. Paltauf, M. Haltmeier
    Proc. SPIE 8581:858137, 2013

 

2012

  • Small frequency approximation of (causal) dissipative pressure waves
    R. Kowar
    Proc. The Fifth Symposium on Fractional Differentiation and Its Applications 2012 [arxiv.org]

 

2011

  • Photoacoustic tomography with integrating fiber-based annular detectors
    H. Gruen, H. Altmisdoert, T. Berer, G. Paltauf, G. Zangerl, M.Haltmeier, P. Burgholzer
    Proc. SPIE 7968:79680B, 2011

 

2010

  • Spatial resolution in photoacoustic tomography: effects of detector size and detector bandwidth
    M. Haltmeier, G. Zangerl
    Inverse Probl. 26(12):125002, 2010
  • Integral equation models for thermoacoustic imaging of acoustic dissipative tissue
    R. Kowar
    Inverse Probl 26, 2010 [arxiv.org]
  • Using a phase contrast imaging method in photoacoustic tomography
    R. Nuster, G. Zangerl, O. Scherzer, M. Haltmeier, G. Paltauf
    Proc. SPIE 7564:75640Q, 2010
  • (Habilitation thesis) Mathematical methods in photoacoustic image reconstruction
    M. Haltmeier
    Habilitation Thesis. University Vienna, iv+244 pages, 2010

 

2009

  • Causality analysis of waves and wave equations obeying attenuation
    R. Kowar
    Research Report: Network FWF S105: Photoacoustic Imaging in Medicine and Biology, 2009, 6, January [arxiv.org]
  • Influence of bandwidth and detector size to the resolution of photoacoustic tomography
    M. Haltmeier, O. Scherzer, G. Zangerl
    Proc. MATHMOD 09 Vienna, ARGESIM Report no. 35, 2009

 

2008

  • Optimizing image resolution in three-dimensional photoacoustic tomography with line detectors
    G. Paltauf, R. Nuster, K. Passler, M. Haltmeier, P. Burgholzer
    Proc. SPIE 6856:685621, 2008
  • Photoacoustic tomography of heterogeneous media using a model-based time reversal method
    H. Gruen, R. Nuster, G. Paltauf, M. Haltmeier, P. Burgholzer
    Proc. SPIE 6856:685620, 2008

 

2007

  • Experimental evaluation of reconstruction algorithms for limited view photoacoustic tomography with line detectors
    G. Paltauf, R. Nuster, M. Haltmeier, P. Burgholzer
    Inverse Probl 23(6), pp.81-94, 2007
  • Temporal back-projection algorithms for photoacoustic tomography with integrating line detectors
    P. Burgholzer, J. Bauer-Marschallinger, H. Gruen, M. Haltmeier, G. Paltauf
    Inverse Probl 23(6), pp.65-80, 2007
  • Photoacoustic computed tomography using a Mach-Zehnder interferometer as acoustic line detector
    G. Paltauf, R. Nuster, M. Haltmeier, P. Burgholzer
    Appl Opt 46, pp.3352-3358, 2007
  • Three-dimensional photoacoustic tomography using acoustic line detectors
    G. Paltauf, R. Nuster, P. Burgholzer, M. Haltmeier
    Proc. SPIE 6437:64370N, 2007
  • Compensation of acoustic attenuation for high-resolution photoacoustic imaging with line detectors
    P. Burgholzer, H. Gruen, M. Haltmeier, R. Nuster, G. Paltauf
    Proc. SPIE 6437:643724, 2007
  • Photoacoustic tomography using a fiber based Fabry-Perot interferometer as an integrating line detector and image reconstruction by model-based time reversal method
    H. Gruen, G. Paltauf, M. Haltmeier, P. Burgholzer
    Proc. SPIE 6631:663107, 2007
  • Two-dimensional image reconstruction for photo-acoustic tomography with line detectors
    G. Paltauf, R. Nuster, M. Haltmeier, P. Burgholzer
    Proc. SPIE 6631:663104, 2007

 

2006

  • Thermoacoustic tomography using a fiber-based Fabry-Perot interferometer as an integrating line detector
    P. Burgholzer, C. Hofer, and G. J. Matt, G. Paltauf, M. Haltmeier, O. Scherzer
    Proc. SPIE 6086:60861N, 2006
  • Reconstruction of transducer pressure fields from schlieren data
    R. Kowar
    Proc. ECMI 2006, 2006
  • Mathematical challenges arising in thermoacoustic tomography with line detectors
    M. Haltmeier, T. Fidler
    Technical report, 2006 [arxiv.org]
  • Tikhonov and iterative regularization methods for embedded inverse problems
    M. Haltmeier, O. Scherzer, A. Leitao
    Technical report, 2006
  • (PhD Thesis) Fast direct reconstruction algorithms for high resolution thermoacoustic CT
    M. Haltmeier
    University Innsbruck, vii+113 pages, 2006

 

2005

  • Estimation of the density, the wave speed and the acoustic impedance function in ultrasound imaging
    R. Kowar
    Inverse Probl 21, pp.93-112, 2005
  • Thermoacoustic tomography using optical line detection
    G. Paltauf, P. Burgholzer, M. Haltmeier, O. Scherzer
    Proc. SPIE 5864, pp.02-08, 2005
  • Thermoacoustic tomography using integrating detectors
    P. Burgholzer, C. Hofer, G. Paltauf, M. Haltmeier, O. Scherzer
    Proc. SPIE 5864, pp.03-12, 2005

 

2004

  • Numerical estimation of the acoustic impedance function of nonhomogeneous media
    R. Kowar
    Proc. ECCOMAS 2004, 2004