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 imagesMachineFeaturesClinical Implementation of Novel PACS-based Deep Learning Glioma Segmentation Algorithm
Merkaj S, Bousabarah K, MingDe L, Pala A, Petersen G, Jekel L, Bahar R, Tillmanns N, Malhotra A, Westerhoff M, Aboian M. Clinical Implementation of Novel PACS-based Deep Learning Glioma Segmentation Algorithm. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2022 DOI: 10.58530/2022/2744.Peer-Reviewed Original ResearchReal-time buildingAuto-segmentation algorithmTumor segmentationSegmentation algorithmBRATS datasetData generationNew segmentationData productionPrediction algorithmClinical workflowAlgorithmDatasetLaborious processHospital datasetPACSSegmentationNovel approachWorkflowImagesImplementationExpertsGenerationRetraining