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Quantification of opioid receptor availability following spontaneous epileptic seizures: Correction of 11Cdiprenorphine PET data for the partial-volume effect., , , , , , , , , и 2 other автор(ы). NeuroImage, (2013)Using 11CRo15 4513 PET to characterise GABA-benzodiazepine receptors in opiate addiction: Similarities and differences with alcoholism., , , , , , , , , и 4 other автор(ы). NeuroImage, (2016)Correction of 11Cdiprenorphine PET data for the partial-volume effect: Quantification of opioid receptor binding following spontaneous epileptic seizures., , , , , , , , , и . NeuroImage, 52 (Supplement-1): S209 (2010)BioSignalML - A meta-model for biosignals., , , и . EMBC, стр. 5670-5673. IEEE, (2011)Subject classification from 18Fflutemetamol data into categories of raised or low levels of beta-amyloid: Concordance between quantitative and visual assessment., , , , , , , , , и . NeuroImage, 52 (Supplement-1): S144 (2010)Kinetic modeling of the adenosine A2A subtype receptor radioligand 11CSCH442416 in humans., , , , , , , , и . NeuroImage, 52 (Supplement-1): S178 (2010)Balancing bias, reliability, noise properties and the need for parametric maps in quantitative ligand PET: 11Cdiprenorphine test-retest data., , , , , , , , и . NeuroImage, 38 (1): 82-94 (2007)Binary classification of 18F-flutemetamol PET using machine learning: Comparison with visual reads and structural MRI., , , , , , , , , и 1 other автор(ы). NeuroImage, (2013)Strategies for the generation of parametric images of 11CPIB with plasma input functions considering discriminations and reproducibility., , , , и . NeuroImage, 48 (2): 329-338 (2009)The effects of zolpidem on in vivo binding of C11-flumazenil and C11-Ro15-4513., , , , , , , , и . NeuroImage, 52 (Supplement-1): S191-S192 (2010)