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Работы, на которые ссылается эта работа
Работ: 54
Работа: An Investigation of Stochastic Variance Reduction Algorithms for 3D Penalised PET Image Reconstruction
Faster PET reconstruction with a stochastic primal-dual hybrid gradient method
Matthias J. Ehrhardt, Paweł Markiewicz, Peter Richtárik +3
Статья2017Цитирований: 2ABIPerformance improvement and validation of a new MAP reconstruction algorithm
Yu‐Jung Tsai, Alexandre Bousse, C.W. Stearns +4
Статья2016Цитирований: 2ABIBenefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET Reconstruction
Yu‐Jung Tsai, Georg Schramm, Sangtae Ahn +6
Статья2019Цитирований: 2ABISARAH: A Novel Method for Machine Learning Problems Using Stochastic\n Recursive Gradient
Lam M. Nguyen, Jie Liu, Katya Scheinberg +1
Препринт2017Цитирований: 2ABIA Stochastic Quasi-Newton Method for Large-Scale Optimization
Richard H. Byrd, Samantha Hansen, Jorge Nocedal +1
Статья2016Цитирований: 2ABIOn Biased Stochastic Gradient Estimation
Derek Driggs, Jingwei Liang, Carola‐Bibiane Schönlieb
Препринт2019Цитирований: 2ABIStochastic Variance Reduction Optimisation Algorithms Applied to Iterative PET Reconstruction
Robert Twyman, Simon Arridge, Bangti Jin +3
Статья2020Цитирований: 2ABIStochastic EM methods with Variance Reduction for Penalised PET Reconstructions
Željko Kereta, Robert Twyman, Simon Arridge +2
Статья2021Цитирований: 2ABIA Demonstration of STIR-GATE-Connection
Robert Twyman, Ludovica Brusaferri, Élise Émond +5
Статья2021Цитирований: 2ABIAccelerated Convergent Motion Compensated Image Reconstruction
Claire Delplancke, Kris Thielemans, Matthias J. Ehrhardt
Препринт2024Цитирований: 2ABI