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Brain tissue selection procedures for image derived input functions derived using independent components analysis., , , , and . EMBC, page 5987-5990. IEEE, (2012)Likelihood estimation of drug occupancy for brain PET studies., , and . NeuroImage, (2018)Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series., , , , , and . IEEE Trans. Biomed. Eng., 54 (5): 931-937 (2007)Estimation of the binding potential BPND without a reference region or blood samples for brain PET studies., , , and . NeuroImage, (2017)Estimation of in vivo nonspecific binding in positron emission tomography studies without requiring a reference region., , and . NeuroImage, (2015)Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data., , , and . EMBC, page 55-58. IEEE, (2006)Non-invasive quantification of brain 18F-FDG uptake by combining medical health records and dynamic PET imaging data., , , , , , and . EMBC, page 2243-2246. IEEE, (2015)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)Source-to-Target Automatic Rotating Estimation (STARE) - A publicly-available, blood-free quantification approach for PET tracers with irreversible kinetics: Theoretical framework and validation for 18FFDG., , , and . NeuroImage, (2022)Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov., , , and . IEEE Trans. Biomed. Eng., 56 (5): 1287-1297 (2009)