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Multi-Scale hierarchical generation of PET parametric maps: Application and testing on a 11CDPN study., , , , , and . NeuroImage, 59 (3): 2485-2493 (2012)A Variational Bayesian inference method for parametric imaging of PET data., , , , , , and . NeuroImage, (2017)SAKE: A new quantification tool for positron emission tomography studies., , , and . Comput. Methods Programs Biomed., 111 (1): 199-213 (2013)Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain., , , , , , , , , and 1 other author(s). NeuroImage, (2017)Spectral Analysis of Dynamic PET Studies: A Review of 20 Years of Method Developments and Applications., , , and . Comput. Math. Methods Medicine, (2016)Multi-scale hierarchical approach for parametric mapping: Assessment on multi-compartmental models., , and . NeuroImage, (2013)Modelling arterial input functions in positron emission tomography dynamic studies., , , and . EMBC, page 2247-2250. IEEE, (2015)Data-Driven Learning to Detect Characteristic Kinetics in Ultrasound Images of Arthritis., , , , and . CLIP@MICCAI, volume 8680 of Lecture Notes in Computer Science, page 17-24. Springer, (2014)Measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade: The genomic plot., , , , , and . NeuroImage, (2016)Test-retest reproducibility of quantitative binding measures of 11CRo15-4513, a PET ligand for GABAA receptors containing alpha5 subunits., , , , , , , , , and . NeuroImage, (2017)