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  1. How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray computed tomography

    Article • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, May 2015, Royal Society Publishing

    Jakob Sauer Jorgensen

  2. Empirical average-case relation between undersampling and sparsity in X-ray CT

    Article • Inverse Problems and Imaging, March 2015, American Institute of Mathematical Sciences (AIMS)

    Jakob Sauer Jorgensen

  3. Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized X-ray CT

    Article • Inverse Problems in Science and Engineering, December 2014, Taylor & Francis

    Jakob Sauer Jorgensen

  4. Few-view single photon emission computed tomography (SPECT) reconstruction based on a blurred piecewise constant object model

    Article • Physics in Medicine and Biology, July 2013, Institute of Physics Publishing

    Jakob Sauer Jorgensen, Dr Taly G Schmidt

  5. Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT

    Article • IEEE Transactions on Medical Imaging, February 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Jakob Sauer Jorgensen

  6. First-order convex feasibility algorithms for x-ray CT

    Article • Medical Physics, January 2013, American Association of Physicists in Medicine (AAPM)

    Jakob Sauer Jorgensen

  7. Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle–Pock algorithm

    Article • Physics in Medicine and Biology, April 2012, Institute of Physics Publishing

    Jakob Sauer Jorgensen

  8. Implementation of an optimal first-order method for strongly convex total variation regularization

    Article • BIT Numerical Mathematics, September 2011, Springer Science + Business Media

    Jakob Sauer Jorgensen