2019
Diffusion tensor tractography in children with sensory processing disorder: Potentials for devising machine learning classifiers
Payabvash S, Palacios EM, Owen JP, Wang MB, Tavassoli T, Gerdes M, Brandes-Aitken A, Marco EJ, Mukherjee P. Diffusion tensor tractography in children with sensory processing disorder: Potentials for devising machine learning classifiers. NeuroImage Clinical 2019, 23: 101831. PMID: 31035231, PMCID: PMC6488562, DOI: 10.1016/j.nicl.2019.101831.Peer-Reviewed Original ResearchConceptsPosterior white matter tractsSupport vector machineAccurate classification rateNaïve BayesDifferent machineNeural networkVector machineRandom forestClassification rateRandom forest modelMachineEdge densityConnectivity metricsAlgorithmDTI/High accuracyForest modelMetricsAccuracyBrain's inabilityBayesClassifierNetworkSensory processing disordersClassificationWhite Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models
Payabvash S, Palacios E, Owen JP, Wang MB, Tavassoli T, Gerdes M, Brandes-Aitken A, Cuneo D, Marco E, Mukherjee P. White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models. Brain Connectivity 2019, 9: 209-220. PMID: 30661372, PMCID: PMC6444925, DOI: 10.1089/brain.2018.0658.Peer-Reviewed Original Research
2018
A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning
Morrison MA, Payabvash S, Chen Y, Avadiappan S, Shah M, Zou X, Hess CP, Lupo JM. A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning. NeuroImage Clinical 2018, 20: 498-505. PMID: 30140608, PMCID: PMC6104340, DOI: 10.1016/j.nicl.2018.08.002.Peer-Reviewed Original ResearchConceptsData labelingTraining dataHigh-level feature extractionVolume segmentationComputer-aided detection algorithmComputer-aided detection methodsGround truth labelingCerebral microbleed detectionFalse positivesMachine learningFeature extractionSegmentation resultsDetection algorithmSophisticated machineTime usersAlgorithm performanceCMB detectionComputer aidMicrobleed detectionSegmentationTest setDetection methodSuperior performanceExtensive research effortsMachine