2023
Future of Neurology & Technology: Neuroimaging Made Accessible Using Low-Field, Portable MRI
Parasuram N, Crawford A, Mazurek M, Chavva I, Beekman R, Gilmore E, Petersen N, Payabvash S, Sze G, Eugenio Iglesias J, Omay S, Matouk C, Longbrake E, de Havenon A, Schiff S, Rosen M, Kimberly W, Sheth K. Future of Neurology & Technology: Neuroimaging Made Accessible Using Low-Field, Portable MRI. Neurology 2023, 100: 1067-1071. PMID: 36720639, PMCID: PMC10259275, DOI: 10.1212/wnl.0000000000207074.Peer-Reviewed Original Research
2022
Deep Learning Applications for Acute Stroke Management
Chavva IR, Crawford AL, Mazurek MH, Yuen MM, Prabhat AM, Payabvash S, Sze G, Falcone GJ, Matouk CC, de Havenon A, Kim JA, Sharma R, Schiff SJ, Rosen MS, Kalpathy‐Cramer J, Gonzalez J, Kimberly WT, Sheth KN. Deep Learning Applications for Acute Stroke Management. Annals Of Neurology 2022, 92: 574-587. PMID: 35689531, DOI: 10.1002/ana.26435.Peer-Reviewed Original ResearchMeSH KeywordsDeep LearningHumansNeural Networks, ComputerNeuroimagingReproducibility of ResultsStrokeConceptsDeep machine learningDeep learning applicationsMedical image analysisDeep neural networksPixel-wise labelingAcute stroke managementReal-world examplesDL applicationsDL approachMachine learningLearning applicationsDL modelsNeural networkStroke managementLesion segmentationMaximal utilityImage analysisElectronic medical record dataInter-rater variabilityCause of disabilityMedical record dataRelevant clinical featuresStroke detectionAdvanced neuroimaging techniquesDecision making