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References from Direct spatial convolution for pencil beam dose calculation and feasibility of dij‐free IMRT optimization on GPU. Local targets link to admitted publications; unresolved targets remain external evidence.
Differential pencil beam dose computation model for photons
10.1118/1.595924 · 1986 · External reference
A pencil beam model for photon dose calculation
10.1118/1.596856 · 1992 · External reference
matRad—an open‐source multi‐modality radiation treatment planning system
2016 · External reference
Decomposition of pencil beam kernels for fast dose calculations in three‐dimensional treatment planning
10.1118/1.597070 · 1993 · External reference
A convolution method of calculating dose for 15‐MV x rays
10.1118/1.595774 · 1985 · External reference
PyTorch: an imperative style, high‐performance deep learning library
2019 · External reference
Learning representations by back‐propagating errors
10.1038/323533a0 · 1986 · External reference
Fast calculation of the exact radiological path for a three‐dimensional CT array
10.1118/1.595715 · 1985 · External reference
A machine learning toolkit assisted approach for IMRT fluence map optimization: feasibility and advantages
10.1088/2057-1976/adcaca · 2025 · External reference
Unresolved reference
External reference
A finite size pencil beam for IMRT dose optimization
10.1088/0031-9155/50/8/009 · 2005 · External reference
A finite size pencil beam algorithm for IMRT dose optimization: density corrections
10.1088/0031-9155/52/3/006 · 2007 · External reference
Introducing matrix sparsity with kernel truncation into dose calculations for fluence optimization
10.1088/2057-1976/ac35f8 · 2022 · External reference
Unresolved reference
1999 · External reference
DoseNet: a volumetric dose prediction algorithm using 3D fully‐convolutional neural networks
10.1088/1361-6560/aaef74 · 2018 · External reference
DeepDose: towards a fast dose calculation engine for radiation therapy using deep learning
10.1088/1361-6560/ab7630 · 2020 · External reference