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Corrections to "Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity"., , , , , and . IEEE Trans. Med. Imaging, 37 (8): 1955 (2018)Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity., , , , , and . IEEE Trans. Med. Imaging, 37 (4): 955-965 (2018)PET Image Reconstruction Using Deep Image Prior., , , and . IEEE Trans. Med. Imaging, 38 (7): 1655-1665 (2019)A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients., , , , , , , , , and 18 other author(s). NeuroImage, (2017)A receptor-based model for dopamine-induced fMRI signal., , , , , , , , and . NeuroImage, (2013)Simultaneous fMRI-PET of the opioidergic pain system in human brain., , , , , , , , , and . NeuroImage, (2014)Kinetic Compressive Sensing., , , , , , and . CoRR, (2018)Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network., , , , , , and . CoRR, (2018)An Inference Language for Imaging., , and . BAMBI, volume 8677 of Lecture Notes in Computer Science, page 61-72. Springer, (2014)Dynamic functional imaging of brain glucose utilization using fPET-FDG., , , , , , , , , and 1 other author(s). NeuroImage, (2014)