Code downloads:

2023
• Colormap recommendations for quantitative MRI by the Color Recommendation Committee, including Miha Fuderer and Stefano Mandija (code)
2022
• ⟂-Loss, a symmetric loss function for image registration and image reconstruction; available in Python by Maarten Terpstra (code), released in 2022
2021
• TEMPEST: a deep learning model for real-time MRI registration, written in Python by Maarten Terpstra (code), released in 2021.
• Framework for 2D+t and 3D+t respiratory motion estimation with low-rank MR-MOTUS; written in Matlab by Niek Huttinga (code), released in 2021.
• MR Fingerprinting reconstructions on the MR-linac in Matlab by Tom Bruijnen (code)
2020
• Code to calculate the noise navigator from in-vivo 2D bSSFP MR-linac data; written in Matlab by Robin Navest (code), released in 2020.
2019
• Simulate the impact of eddy currents on the bSSFP signal in Matlab by Tom Bruijnen (code)
2018
• Reproduce the analysis of accuracy and precision of gold fiducial marker automatic localisation; written in Matlab by Matteo Maspero (code) (Code Ocean) (paper), released in 2018.
2017
• Produce bulk assigned synthetic-CT (sCT, also called pseudo-CT) with internal air cavities and generate dicoms complaint with the treatment planning system; written in Matlab by Matteo Maspero (code) (Code Ocean) (paper), released in 2017.
2016
• Produce bulk assigned synthetic-CT (sCT, also called pseudo-CT) and analyse their content; written in Matlab by Matteo Maspero (code) (Code Ocean) (paper), released in 2016.