2024
In vivo neuropil density from anatomical MRI and machine learning
Akif A, Staib L, Herman P, Rothman D, Yu Y, Hyder F. In vivo neuropil density from anatomical MRI and machine learning. Cerebral Cortex 2024, 34: bhae200. PMID: 38771239, PMCID: PMC11107380, DOI: 10.1093/cercor/bhae200.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingSynaptic densityNeuropil densityCellular densityArtificial neural networkNeural networkPositron emission tomographyAnatomical magnetic resonance imagingHealthy subjectsSynaptic activityMRI scansMachine learning algorithmsBrain's energy budgetEmission tomographyIn vivo MRI scansResonance imagingTissue cellularityLearning algorithmsDiffusion magnetic resonance imagingMachine learningMicroscopic interpretationInterpretation of functional neuroimaging dataIndividual predictionsSubjects
2014
Using SUV as a Guide to 18F-FDG Dose Reduction
Cheng DW, Ersahin D, Staib LH, Della Latta D, Giorgetti A, d’Errico F. Using SUV as a Guide to 18F-FDG Dose Reduction. Journal Of Nuclear Medicine 2014, 55: 1998-2002. PMID: 25453048, DOI: 10.2967/jnumed.114.140129.Peer-Reviewed Original Research