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54 ta ish

Ish: 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

    Maqola20052 iqtibos
    ABI

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

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

    Maqola20182 iqtibos
    ABI

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

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

    Maqola20172 iqtibos
    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

    Maqola20162 iqtibos
    ABI

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

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

    Maqola20162 iqtibos
    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

    Maqola20172 iqtibos
    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

    Maqola20192 iqtibos
    ABI

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

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

    Maqola20192 iqtibos
    ABI

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

    Aaron Defazio, Francis Bach, Simon Lacoste-Julien

    Preprint20142 iqtibos
    ABI

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

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

    Preprint20172 iqtibos
    ABI

  11. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

  12. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

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

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

    Maqola20162 iqtibos
    ABI

  14. On Biased Stochastic Gradient Estimation

    Derek Driggs, Jingwei Liang, Carola‐Bibiane Schönlieb

    Preprint20192 iqtibos
    ABI

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

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

    Maqola20192 iqtibos
    ABI

  16. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

  17. Sarlavhasiz

    Boshqa2 iqtibos
    ABI

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

    Robert Twyman, Simon Arridge, Bangti Jin +3

    Maqola20202 iqtibos
    ABI

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

    Željko Kereta, Robert Twyman, Simon Arridge +2

    Maqola20212 iqtibos
    ABI

  20. Updating Quasi-Newton Matrices with Limited Storage

    Jorge Nocedal

    Maqola19802 iqtibos
    ABI

  21. A Demonstration of STIR-GATE-Connection

    Robert Twyman, Ludovica Brusaferri, Élise Émond +5

    Maqola20212 iqtibos
    ABI

  22. Numerical Optimization

    Jorge Nocedal, Stephen J. Wright

    Kitob20062 iqtibos
    ABI

  23. Accelerated Convergent Motion Compensated Image Reconstruction

    Claire Delplancke, Kris Thielemans, Matthias J. Ehrhardt

    Preprint20242 iqtibos
    ABI

  24. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  25. Sarlavhasiz

    Boshqa1 iqtibos
    ABI