2024
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction
Guo X, Shi L, Chen X, Liu Q, Zhou B, Xie H, Liu Y, Palyo R, Miller E, Sinusas A, Staib L, Spottiswoode B, Liu C, Dvornek N. TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. Medical Image Analysis 2024, 96: 103190. PMID: 38820677, PMCID: PMC11180595, DOI: 10.1016/j.media.2024.103190.Peer-Reviewed Original ResearchGenerative adversarial networkAdversarial networkMotion estimation accuracyInter-frame motionIntensity-based image registration techniqueAll-to-oneSegmentation masksImage registration techniquesOriginal frameTemporal informationDiagnosis accuracyMyocardial blood flowEstimation accuracyFrame conversionPositron emission tomographyNovel methodImage qualityPET datasetsRegistration techniqueNetworkCardiac positron emission tomographyBlood flowDynamic cardiac positron emission tomographyMotion correctionCoronary artery disease
2019
Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning
Johnson KM, Johnson HE, Zhao Y, Dowe DA, Staib LH. Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning. Radiology 2019, 292: 182061. PMID: 31237495, DOI: 10.1148/radiol.2019182061.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansImage Interpretation, Computer-AssistedMachine LearningMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRisk FactorsSeverity of Illness IndexYoung AdultConceptsCoronary CT angiographyCoronary Artery Disease ReportingNonfatal myocardial infarctionHeart disease deathCT angiographyCause mortalityDisease deathsMyocardial infarctionCoronary heart disease deathDisease reportingCoronary artery diseaseNational Death IndexData System scoreCardiovascular eventsCoronary deathAdverse eventsArtery diseaseCoronary diseaseDeath IndexCoronary segmentsPrognostic informationVessel scorePatientsSystem scoreSubsequent death
2012
Gender-based divergence of cardiovascular outcomes in asymptomatic patients with type 2 diabetes: Results from the DIAD study
Tandon S, Wackers F, Inzucchi SE, Bansal S, Staib LH, Chyun DA, Davey JA, Young LH. Gender-based divergence of cardiovascular outcomes in asymptomatic patients with type 2 diabetes: Results from the DIAD study. Diabetes And Vascular Disease Research 2012, 9: 124-130. PMID: 22228772, DOI: 10.1177/1479164111431470.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsymptomatic DiseasesCanadaCardiovascular DiseasesDiabetes ComplicationsDiabetes Mellitus, Type 2FemaleHumansIncidenceKaplan-Meier EstimateMaleMass ScreeningMiddle AgedMyocardial Perfusion ImagingPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentRisk FactorsSex FactorsTime FactorsUnited StatesConceptsType 2 diabetesMyocardial perfusion imagingCardiovascular outcomesStress myocardial perfusion imagingAsymptomatic Diabetics (DIAD) studyBetter cardiac outcomesHigh-risk womenCoronary artery diseaseHigh-risk menDetection of ischemiaMPI abnormalitiesAsymptomatic patientsAsymptomatic menCardiac eventsCardiac outcomesArtery diseaseAsymptomatic womenAbnormal screeningDiabetic studyPerfusion imagingDIAD studyWomenMenDiabetesOutcomes