2023
3D Capsule Networks for Brain Image Segmentation
Avesta A, Hui Y, Aboian M, Duncan J, Krumholz H, Aneja S. 3D Capsule Networks for Brain Image Segmentation. American Journal Of Neuroradiology 2023, 44: 562-568. PMID: 37080721, PMCID: PMC10171390, DOI: 10.3174/ajnr.a7845.Peer-Reviewed Original ResearchComparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation
Avesta A, Hossain S, Lin M, Aboian M, Krumholz H, Aneja S. Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation. Bioengineering 2023, 10: 181. PMID: 36829675, PMCID: PMC9952534, DOI: 10.3390/bioengineering10020181.Peer-Reviewed Original ResearchLimited training dataDice scoreComputational memoryTraining dataBrain imagesDeep-learning methodsHigher Dice scoresSegmentation accuracyAuto-segmentation modelComputational speedPerformance metricsOne-sliceAuto-SegmentationBetter performanceConsecutive slicesImagesDeploymentLowest Dice scoresMemoryPerformanceTrainingMetricsModelAccuracyData
2011
Understanding the use and impact of the online community in a national quality improvement campaign
Nembhard IM, Nazem AG, Webster TR, Wang Y, Krumholz HM, Bradley EH. Understanding the use and impact of the online community in a national quality improvement campaign. BMJ Quality & Safety 2011, 20: 68. PMID: 21228078, DOI: 10.1136/bmjqs.2010.040253.Peer-Reviewed Original ResearchConceptsOnline communitiesPerformance measurement issuesSilent usersNational Quality CampaignHeart attack careD2B AllianceMeasurement issuesQuality campaignOrganizationImprovement campaignInformation exchangeExpert guidanceRole changesQuality improvement campaignStaff useImpactHigh-volume usersAllianceCampaignPerformance improvementLack of associationData sourcesHospital SurveyHelpfulnessPerformance