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Иш: 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

    Мақола20052 иқтибос
    ABI

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

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

    Мақола20182 иқтибос
    ABI

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

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

    Мақола20172 иқтибос
    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

    Мақола20162 иқтибос
    ABI

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

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

    Мақола20162 иқтибос
    ABI

  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

    Мақола20172 иқтибос
    ABI

  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

    Мақола20192 иқтибос
    ABI

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

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

    Мақола20192 иқтибос
    ABI

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

    Aaron Defazio, Francis Bach, Simon Lacoste-Julien

    Препринт20142 иқтибос
    ABI

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

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

    Препринт20172 иқтибос
    ABI

  11. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  12. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

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

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

    Мақола20162 иқтибос
    ABI

  14. On Biased Stochastic Gradient Estimation

    Derek Driggs, Jingwei Liang, Carola‐Bibiane Schönlieb

    Препринт20192 иқтибос
    ABI

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

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

    Мақола20192 иқтибос
    ABI

  16. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  17. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

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

    Robert Twyman, Simon Arridge, Bangti Jin +3

    Мақола20202 иқтибос
    ABI

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

    Željko Kereta, Robert Twyman, Simon Arridge +2

    Мақола20212 иқтибос
    ABI

  20. Updating Quasi-Newton Matrices with Limited Storage

    Jorge Nocedal

    Мақола19802 иқтибос
    ABI

  21. A Demonstration of STIR-GATE-Connection

    Robert Twyman, Ludovica Brusaferri, Élise Émond +5

    Мақола20212 иқтибос
    ABI

  22. Numerical Optimization

    Jorge Nocedal, Stephen J. Wright

    Китоб20062 иқтибос
    ABI

  23. Accelerated Convergent Motion Compensated Image Reconstruction

    Claire Delplancke, Kris Thielemans, Matthias J. Ehrhardt

    Препринт20242 иқтибос
    ABI