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Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies., , , , , , , and . NeuroImage, (2021)Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL., , , , , , , and . NeuroImage, (2018)PET-only 18F-AV1451 tau quantification., , , , , , , and . ISBI, page 1173-1176. IEEE, (2017)A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging., , , , , , , , , and 3 other author(s). MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 65-72. Springer, (2018)β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3., , , , , , , , , and 5 other author(s). NeuroImage, (2022)A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping., , , , , , , , , and 2 other author(s). ISBI, page 97-100. IEEE, (2017)PET image harmonization using smoothing-CycleGAN., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)