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Nonlinear Mixed Effects to Improve Glucose Minimal Model Parameter Estimation: A Simulation Study in Intensive and Sparse Sampling., , , and . IEEE Trans. Biomed. Eng., 56 (9): 2156-2166 (2009)Global-two-stage filtering of clinical PET parametric maps: Application to 11C-(R)-PK11195., , , , , , and . NeuroImage, 55 (3): 942-953 (2011)On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects., , , , , , , , and . J. Cogn. Neurosci., 29 (2): 337-351 (2017)Review on deep learning fetal brain segmentation from Magnetic Resonance images., , , , , and . Artif. Intell. Medicine, (September 2023)Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of 18FFdg Metabolic Rate., , , , , , and . ISBI, page 376-379. IEEE, (2019)Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling., , , , , , , and . ISBI, page 792-795. IEEE, (2017)Identification of IVGTT minimal glucose model by nonlinear mixed-effects approaches., , , and . EMBC, page 5049-5052. IEEE, (2006)Modeling venous plasma samples in $^18F$ FDG PET studies: a nonlinear mixed-effects approach., , , , , , , and . EMBC, page 4704-4707. IEEE, (2022)Estimating effective connectivity in linear brain network models., , , and . CDC, page 5931-5936. IEEE, (2017)Supervised classification of brain tissues through local multi-scale texture analysis by coupling DIR and FLAIR MR sequences., , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83142T. SPIE, (2012)