2024
Long-Axial Field-Of-View Limited-Angle PET System with Ultra-High Time-Of-Flight and Depth-Of-Interaction
Marin T, Chemli Y, Razdevšek G, Zhuo Y, Orehar M, Najmaoui Y, Dolenec R, Gascon D, Gola A, Benlloch J, Alamo J, Barbera J, Fernandez-Tenllado J, Gomez S, Korpar S, Krizan P, Majewski S, Manera R, Mariscal-Castilla A, Mauricio J, Merzi S, Morera C, Pavon G, Pavon N, Penna M, Seljak A, Studen A, Zontar D, Pestotnik R, Fakhri G. Long-Axial Field-Of-View Limited-Angle PET System with Ultra-High Time-Of-Flight and Depth-Of-Interaction. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10658297.Peer-Reviewed Original ResearchDepth of interactionDepth-of-interaction resolutionTime-of-flightPET systemImage quality metricsTime-of-flight resolutionField-of-view scanningSacrificing image qualityQuality metricsSilicon photomultipliersDetector panelPET instrumentationImage qualityResolution systemAngle geometryGeometric correctionReduce costsPerformancePhotomultiplierSystemResolutionMetricsElectronExpert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation.
Hoebel K, Bridge C, Ahmed S, Akintola O, Chung C, Huang R, Johnson J, Kim A, Ly K, Chang K, Patel J, Pinho M, Batchelor T, Rosen B, Gerstner E, Kalpathy-Cramer J. Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology Artificial Intelligence 2024, 6: e220231. PMID: 38197800, PMCID: PMC10831514, DOI: 10.1148/ryai.220231.Peer-Reviewed Original ResearchConceptsBrain tumor segmentationDeep learning algorithmsSegmentation qualityLearning algorithmsTumor segmentationBrain tumor segmentation algorithmQuantitative quality metricsTumor segmentation algorithmClinical expert evaluationSegmentation performanceAlgorithm evaluationSegmentation algorithmQuality metricsDice scoreHausdorff distanceSegmentation casesAlgorithmExperimental resultsExpert evaluationQuality evaluationMetricsSurvey article
2023
Few-shot biomedical image segmentation using diffusion models: Beyond image generation
Khosravi B, Rouzrokh P, Mickley J, Faghani S, Mulford K, Yang L, Larson A, Howe B, Erickson B, Taunton M, Wyles C. Few-shot biomedical image segmentation using diffusion models: Beyond image generation. Computer Methods And Programs In Biomedicine 2023, 242: 107832. PMID: 37778140, DOI: 10.1016/j.cmpb.2023.107832.Peer-Reviewed Original ResearchConceptsDenoising diffusion probabilistic modelImage segmentationU-NetObjective image quality metricsDice similarity coefficientLeverage generative modelsDiffusion probabilistic modelAnnotated training dataMedical image segmentationVanilla U-NetBiomedical image segmentationImage quality metricsAnnotated samplesDomain expertsExtract featuresTraining dataImage generationGenerative modelQuality metricsRandom patchesProbabilistic modelImage analysis pipelineUNetExpert accuracyTime-consuming
2020
Intraoperative Electronic Alerts Improve Compliance With National Quality Program Measure for Perioperative Temperature Management.
Lakha S, Levin M, Leibowitz A, Lin H, Gal J. Intraoperative Electronic Alerts Improve Compliance With National Quality Program Measure for Perioperative Temperature Management. Anesthesia & Analgesia 2020, 130: 1167-1175. PMID: 32287124, DOI: 10.1213/ane.0000000000004546.Peer-Reviewed Original ResearchConceptsElectronic decision-support toolElectronic alertsMeasure complianceDecision-support toolCenters for Medicare & Medicaid ServicesValue-based payment programsSegmented time-series regressionAssociated with statistically significant improvementsQuality metricsAcademic medical centerValue-based modelMultivariate logistic regressionStatistically significant improvementMedicaid ServicesPayment programsAnesthesia servicesMaintenance of normothermiaQuality measuresLogistic regressionRetrospective observational studyMedical CenterOverall complianceObservational studyAlertsClinical practice
2011
How Good Are the Data? Feasible Approach to Validation of Metrics of Quality Derived From an Outpatient Electronic Health Record
Benin AL, Fenick A, Herrin J, Vitkauskas G, Chen J, Brandt C. How Good Are the Data? Feasible Approach to Validation of Metrics of Quality Derived From an Outpatient Electronic Health Record. American Journal Of Medical Quality 2011, 26: 441-451. PMID: 21926280, DOI: 10.1177/1062860611403136.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAmbulatory CareChildChild, PreschoolGuideline AdherenceHumansInfantMass ScreeningMedical Records Systems, ComputerizedOutcome and Process Assessment, Health CareOutpatientsPatient SafetyPediatricsPractice Guidelines as TopicQuality Indicators, Health CareQuality of Health CareReproducibility of Results
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