2022
Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment
Petersen G, Shatalov J, Verma T, Brim WR, Subramanian H, Brackett A, Bahar RC, Merkaj S, Zeevi T, Staib LH, Cui J, Omuro A, Bronen RA, Malhotra A, Aboian MS. Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment. American Journal Of Neuroradiology 2022, 43: 526-533. PMID: 35361577, PMCID: PMC8993193, DOI: 10.3174/ajnr.a7473.Peer-Reviewed Original ResearchMeSH KeywordsGliomaHumansLymphomaMachine LearningMagnetic Resonance ImagingReproducibility of ResultsConceptsMachine learning-based methodsLearning-based methodsBalanced data setData setsVector machine modelMachine learningClassification algorithmsMachine modelMachineAlgorithmData basesPrediction modelPromising resultsPrimary CNS lymphomaPrediction model study RiskRisk of biasRadiomic featuresClassifierSetCNS lymphomaWebLearningFeaturesQualitySystematic review
2006
Rating Scales, Scales of Measurement, Issues of Reliability
Cicchetti D, Bronen R, Spencer S, Haut S, Berg A, Oliver P, Tyrer P. Rating Scales, Scales of Measurement, Issues of Reliability. The Journal Of Nervous And Mental Disease 2006, 194: 557-564. PMID: 16909062, DOI: 10.1097/01.nmd.0000230392.83607.c5.Peer-Reviewed Original Research
2000
Aspergers Disorder
Volkmar F, Klin A, Schultz R, Rubin E, Bronen R. Aspergers Disorder. American Journal Of Psychiatry 2000, 157: 262-267. PMID: 10671397, DOI: 10.1176/appi.ajp.157.2.262.Peer-Reviewed Educational Materials