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Works cited by this work

48 works

Work: An Investigation of Stochastic Variance Reduction Algorithms for 3D Penalised PET Image Reconstruction

  1. Evaluation of the Single Scatter Simulation Algorithm Implemented in the STIR Library

    Charalampos Tsoumpas, Pablo Aguiar, Konstantina S. Nikita +2

    Article20052 citations
    ABI

  2. Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications

    Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik +1

    Article20182 citations
    ABI

  3. Faster PET reconstruction with a stochastic primal-dual hybrid gradient method

    Matthias J. Ehrhardt, Paweł Markiewicz, Peter Richtárik +3

    Article20172 citations
    ABI

  4. Validation of 3D model-based maximum-likelihood estimation of normalisation factors for partial ring positron emission tomography

    T. Niknejad, S. Tavernier, J. Varela +1

    Article20162 citations
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  5. Performance improvement and validation of a new MAP reconstruction algorithm

    Yu‐Jung Tsai, Alexandre Bousse, C.W. Stearns +4

    Article20162 citations
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  6. Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning

    Yu‐Jung Tsai, Alexandre Bousse, Matthias J. Ehrhardt +5

    Article20172 citations
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  7. Performance evaluation of the 5‐Ring GE Discovery MI PET/CT system using the national electrical manufacturers association NU 2‐2012 Standard

    Tinsu Pan, Samuel A. Einstein, S. Cheenu Kappadath +7

    Article20192 citations
    ABI

  8. Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET Reconstruction

    Yu‐Jung Tsai, Georg Schramm, Sangtae Ahn +6

    Article20192 citations
    ABI

  9. SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

    Aaron Defazio, Francis Bach, Simon Lacoste-Julien

    Preprint20142 citations
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  10. SARAH: A Novel Method for Machine Learning Problems Using Stochastic\n Recursive Gradient

    Lam M. Nguyen, Jie Liu, Katya Scheinberg +1

    Preprint20172 citations
    ABI

  11. Untitled

    Other2 citations
    ABI

  12. Untitled

    Other2 citations
    ABI

  13. A Stochastic Quasi-Newton Method for Large-Scale Optimization

    Richard H. Byrd, Samantha Hansen, Jorge Nocedal +1

    Article20162 citations
    ABI

  14. On Biased Stochastic Gradient Estimation

    Derek Driggs, Jingwei Liang, Carola‐Bibiane Schönlieb

    Preprint20192 citations
    ABI

  15. Iterative PET Image Reconstruction using Adaptive Adjustment of Subset Size and Random Subset Sampling

    Robert Twyman, Simon Arridge, Brian F. Hutton +4

    Article20192 citations
    ABI

  16. Untitled

    Other2 citations
    ABI

  17. Untitled

    Other2 citations
    ABI

  18. Stochastic Variance Reduction Optimisation Algorithms Applied to Iterative PET Reconstruction

    Robert Twyman, Simon Arridge, Bangti Jin +3

    Article20202 citations
    ABI

  19. Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions

    Željko Kereta, Robert Twyman, Simon Arridge +2

    Article20212 citations
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  20. Updating Quasi-Newton Matrices with Limited Storage

    Jorge Nocedal

    Article19802 citations
    ABI

  21. A Demonstration of STIR-GATE-Connection

    Robert Twyman, Ludovica Brusaferri, Élise Émond +5

    Article20212 citations
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  22. Numerical Optimization

    Jorge Nocedal, Stephen J. Wright

    Book20062 citations
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  23. Accelerated Convergent Motion Compensated Image Reconstruction

    Claire Delplancke, Kris Thielemans, Matthias J. Ehrhardt

    Preprint20242 citations
    ABI