2022
Dataset on acute stroke risk stratification from CT angiographic radiomics
Avery EW, Behland J, Mak A, Haider SP, Zeevi T, Sanelli PC, Filippi CG, Malhotra A, Matouk CC, Griessenauer CJ, Zand R, Hendrix P, Abedi V, Falcone GJ, Petersen N, Sansing LH, Sheth KN, Payabvash S. Dataset on acute stroke risk stratification from CT angiographic radiomics. Data In Brief 2022, 44: 108542. PMID: 36060820, PMCID: PMC9428796, DOI: 10.1016/j.dib.2022.108542.Peer-Reviewed Original ResearchMachine Learning FrameworkImage processing technologyFeature selection algorithmField of radiomicsRadiomics-based analysisMachine learningMedical imagesSelection algorithmAssistance toolRadiomic featuresRadiomics dataProcessing technologyAnalysis frameworkRelevant informationRadiomics algorithmAlgorithmCT angiography imagesRadiomicsMethodological supportExternal testingFrameworkImagesAngiography imagesMachineFeatures
2020
Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas
Haider SP, Burtness B, Yarbrough WG, Payabvash S. Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas. Cancers Of The Head & Neck 2020, 5: 6. PMID: 32391171, PMCID: PMC7197186, DOI: 10.1186/s41199-020-00053-7.Peer-Reviewed Original ResearchNeck squamous cell carcinomaSquamous cell carcinomaCell carcinomaPatient selectionNeck cancerClinical trialsObjective biomarkersRoutine clinical applicationPrognostic biomarkerTreatment guidancePersonalized treatmentRadiomics analysisTreatment planningPrecision medicineClinical applicationCarcinomaPrecision diagnosisApplication of radiomicsPrognosticationBiomarkersRadiomicsHeadCancerDiagnosisTrials