Presentations

Conference talks

Conference poster presentations

Seminars

  • Predicting performance of sparsity-regularized X-ray tomography: experimental results using glass-bead data
    6 September 2016, Section for Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.

  • How few projections are enough? Predicting performance of sparsity regularization in X-ray tomography
    13 May 2016, Centre for Mathematical Imaging Techiniques, University of Liverpool, Liverpool, United Kingdom.

  • How few projections are enough? Predicting performance of sparsity regularization in X-ray tomography
    25 February 2016, Centre for Inverse Problems Seminar, University College London, London, United Kingdom.

  • How few projections are enough? Predicting performance of sparsity regularization in X-ray tomography
    26 January 2016, Numerical Linear Algebra Seminar, School of Mathematics, University of Manchester, Manchester, United Kingdom.

  • How few projections are enough? Predicting performance of sparsity regularization in X-ray tomography
    13 January 2016, Seminar, Rutherford Appleton Laboratory/Diamond Synchrotron, Harwell, United Kingdom.

  • Limited-data X-ray tomography and sparsity regularization
    17 December 2015, Inverse Problems Seminar, School of Mathematics, University of Manchester, Manchester, United Kingdom.

  • Phase-transition behavior in X-ray CT matches that of Gaussian sensing matrices
    17 March 2015, Section for Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.

  • Empirical average-case relation between undersampling and sparsity in X-ray CT
    8 October 2014, Dept. Radiology, University of Chicago, Chicago, IL, United States.

  • Sparsity-regularized image reconstruction in X-ray computed tomography
    3 October 2014, Dept. Mathematics, Simon Fraser University, Vancouver, BC, Canada.

  • Practical experiences with tomographic reconstruction using ASTRA
    29 September 2014, CINEMA/P3 Workshop, DTU, Lyngby, Denmark.

  • The ASTRA Tomography Toolbox for image reconstruction on the GPU
    30 June 2014, Section for Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.

  • Computed tomography with sparsity priors
    5 November 2013, Section for Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.

  • Recoverability of sparse images in computed tomography
    3 October 2013, Section for Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.

  • Image sparsity and sampling in total variation-regularized computed tomography
    26 April 2012, Department of Mathematics, Technical University of Denmark, Lyngby, Denmark.

  • Tomografisk rekonstruktion: Matematikken i CT-scanning (Tomographic reconstruction: The mathematics in CT scanning)
    12 October 2011, IDA Matematik (Mathematics Network in The Danish Engineering Society IDA), Lyngby, Denmark.

  • Accurate microcalcification imaging in breast CT by iterative image reconstruction
    6 June 2011, Department of Radiology, University of Chicago, Chicago, IL, United States.

  • Exploiting sparsity in medical imaging
    25 February 2011, Section for Scientific Computing, Department of Informatics and Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark.

  • Total variation regularization in tomography
    17 September 2010, Section for Scientific Computing, Department of Informatics and Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark.

  • Tomographic reconstruction of polycrystals
    15 April 2010, Department of Radiology, University of Chicago, Chicago, IL, United States.