Presentations

Conference talks

• AIR Tools II – a MATLAB toolbox of algebraic iterative reconstruction methods for CT
  6th IMA Conference on Numerical Linear Algebra and Optimization
  27–29 June 2018, Birmingham, UK.

• AIR Tools II – a MATLAB toolbox of algebraic iterative reconstruction methods for CT
  SIAM Conference on Imaging Science (IS18)
  5–8 June 2018, Bologna, Italy.

• A collection of X-ray tomography datasets for benchmarking sparsity-based reconstruction
  5th Tomography for Scientific Advancement (ToScA) Symposium
  6–8 September 2017, Portsmouth, United Kingdom.

• Predicting performance of sparsity-regularized X-ray tomography: experimental results using glass-bead data
  SIAM Conference on Imaging Science (IS16)
  23–26 May 2016, Albuquerque, NM, United States.

• Experiences teaching advanced MATLAB using e-learning and an open-ended project
  Nordic MATLAB EXPO 2016
  21 April 2016, Stockholm, Sweden.

• Phase-transition behavior in X-ray CT matches that of Gaussian sensing matrices
  Compressive Sensing and Sparsity: Theory and Applications in Tomography Workshop
  12–13 November 2015, University of Manchester, Manchester, United Kingdom.

• Assessing undersampling levels in sparsity-regularized X-ray CT
  AIP 2015 Conference
  25–29 May 2015, Helsinki, Finland.

• Total variation regularized reconstruction from highly noisy projections
  Extrema 2015 - Challenges in X-ray Tomography Workshop
  18–20 May 2015, ESRF, Grenoble, France.

• Empirical phase transitions in sparsity-regularized X-ray CT
  GAMM2015 Conference
  23–27 March 2015, Lecce, Italy.

• Phase-transition behavior in X-ray CT matches that of Gaussian sensing matrices
  Workshop on Sparse Tomographic Reconstruction: Theoretical and Numerical Aspects
  19–20 March 2015, University of Heidelberg, Heidelberg, Germany.

• Empirical Phase Transitions in Sparsity-Regularized Computed Tomography
  SIAM Conference on Imaging Science (IS14)
  12–14 May 2014, Hong Kong.

• Empirical Phase Transitions in Sparsity-Regularized Computed Tomography
  Sparse Tomo Days
  26–28 March 2014, DTU, Lyngby, Denmark.

• Connecting object sparsity and number of measurements in total variation-regularized x-ray CT
  SIAM Conference on Imaging Science
  20–22 May 2012, Philadelphia, PA, United States.

• Tomography – imaging from projections
  European Spallation Source and E-science Workshop
  2 March 2012, Niels Bohr Institute, Copenhagen, Denmark.

• Accelerated gradient methods for total-variation-based CT image reconstruction
  11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
  11–15 July 2011, Potsdam, Germany.

• Reliable small-object reconstruction from sparse views in x-ray computed tomography
  4th Workshop on Signal Processing with Adaptive Sparse Structured Representations
  27–30 June 2011, Edinburgh, Scotland, United Kingdom.

• Accelerating total variation tomographic reconstruction: optimal first-order, smooth and strongly convex optimization
  BIT 50: Trends in Numerical Computing
  17–20 June 2010, Lund, Sweden.

• Accelerating total variation tomographic reconstruction: optimal first-order, smooth and strongly convex optimization
  IPA 2010: Inverse Problems and Applications workshop
  3 May 2010, Norrköping, Sweden.

Conference poster presentations

• Effect of sparsity and exposure on total variation regularized X-ray tomography from few projections
  4th International Conference on Image Formation in X-Ray Computed Tomography
  18–22 July 2016, Bamberg, Germany.

• Phase-transition behavior in X-ray CT matches that of Gaussian sensing matrices
  International Workshop on Industrial Tomography Workshop 2015
  4–6 November 2015, Antwerp, Belgium.

• Phase-transition behavior in X-ray CT matches that of Gaussian sensing matrices
  SPARS 2015
  6–9 July 2015, University of Cambridge, Cambridge, United Kingdom.

• Empirical phase transitions in computed tomography
  Sparse Regularization for Inverse Problems (London Mathematical Society meeting)
  7 February 2014, Isaac Newton Institute for Mathematical Sciences, Cambridge, United Kingdom.

• Empirical phase transitions in computed tomography
  Matheon Workshop 2013: Compressed Sensing and its Applications
  9–13 December 2013, Technical University of Berlin, Berlin, Germany.

• Connecting sparsity and sufficient sampling in iterative CT image reconstruction
  Convex Relaxation Methods for Geometric Problems in Scientific Computing workshop
  11–15 Februrary 2013, Institute for Pure and Applied Mathematics, UCLA, Los Angeles, CA, United States.

• Toward quantifying admissible undersampling of sparsity-exploiting iterative image reconstruction for X-ray CT
  The Second International Conference on Image Formation in X-Ray Computed Tomography
  24–27 June 2012, Salt Lake City, UT, United States

• Connecting sparsity and sufficient measurements in iterative CT reconstruction
  2012 NSF-CBMS Conference on Mathematical Methods of Computed Tomography
  29 May–2 June 2012, Arlington, TX, United States.

• Ensuring convergence in total-variation-based reconstruction for accurate microcalcification imaging in breast X-ray CT
  2011 IEEE Nuclear Science Symposium and Medical Imaging Conference
  23–29 October 2011, Valencia, Spain.

• Toward optimal x-ray flux utilization in breast CT
  11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
  11–15 July 2011, Potsdam, Germany.

Seminars

• Advancing automated temporal-CT capabilities of laboratory microXCT machines" (with Parmesh Gajjar)
  12 June 2018, School of Materials, University of Manchester, UK.

• A reconstruction toolkit for multichannel CT
  1 May 2018, Computational Imaging Group, CWI, Amsterdam, The Netherlands.

• 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.