2022
Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography
Liu X, Marin T, Amal T, Woo J, Fakhri G, Ouyang J. Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography. Medical Physics 2022, 50: 1539-1548. PMID: 36331429, PMCID: PMC10087283, DOI: 10.1002/mp.16078.Peer-Reviewed Original ResearchConceptsConditional variational auto-encoderDeep learning approachNeural networkDeep learningMarkov chain Monte CarloVariational Bayesian inference frameworkLearning approachDeep learning-based approachVariational auto-encoderDeep neural networksLearning-based approachDynamic brain PET imagingPosterior distributionEstimate posterior distributionsBayesian inference frameworkAuto-encoderMedical imagesInference frameworkNetworkSimulation studyBrain PET imagingLearningPosterior estimatesInferior performanceImages
2013
Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images
Marin T, Kalayeh M, Parages F, Brankov J. Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images. IEEE Transactions On Medical Imaging 2013, 33: 38-47. PMID: 23981533, PMCID: PMC4148467, DOI: 10.1109/tmi.2013.2279517.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBiomimeticsCoronary Artery DiseaseExpert SystemsHumansImage EnhancementImage Interpretation, Computer-AssistedMotionMyocardial Perfusion ImagingObserver VariationReproducibility of ResultsSensitivity and SpecificitySupport Vector MachineTomography, Emission-Computed, Single-PhotonConceptsHuman observer performanceRelevance vector machinePredicting human observer performanceDeformable mesh modelHuman observersHuman observer scoresImage-quality assessmentPerfusion-defect detectionMotion estimationModel observerMotion featuresVector machineMedical imagesLinear discriminantDefect detectionDetection taskMesh modelObserver performanceDiagnostic tasksNumerical surrogateTask-based approachApproximate surrogateTaskMotion evaluationPerformanceGeneralization Evaluation of Machine Learning Numerical Observers for Image Quality Assessment
Kalayeh M, Marin T, Brankov J. Generalization Evaluation of Machine Learning Numerical Observers for Image Quality Assessment. IEEE Transactions On Nuclear Science 2013, 60: 1609-1618. PMID: 25346545, PMCID: PMC4207371, DOI: 10.1109/tns.2013.2257183.Peer-Reviewed Original ResearchImage quality assessmentChannelized Hotelling observerHuman observer performanceVector machineMachine learningHuman observersTask-based evaluationEvaluation of medical imagesKernel-based regression modelsSupport vector machineInternal noise modelRelevance vector machineReduce model complexityMachine-learning frameworkBayesian machine-learning frameworkGeneralization performanceMedical imagesDetection taskQuality assessmentReconstructed imagesComputation timeHotelling observerNoise modelReconstruction methodModel complexity