2021
A Discrete Joint Model for Entity and Relation Extraction from Clinical Notes.
Ji Z, Ghiasvand O, Wu S, Xu H. A Discrete Joint Model for Entity and Relation Extraction from Clinical Notes. AMIA Joint Summits On Translational Science Proceedings 2021, 2021: 315-324. PMID: 34457146, PMCID: PMC8378610.Peer-Reviewed Original ResearchConceptsRelation classificationPipeline architectureClinical natural language processingNatural language processingEntity recognitionBeam searchRelation extractionClinical notesLanguage processingClassification stepEntity pairsStructured perceptronFundamental taskClinical narrativesTraditional solutionsRecognition stepError propagationArchitectureJoint modelTaskSubtasksPerceptronClinical conceptsEntitiesClassification
2009
Segmentation of the Left Ventricle from Cardiac MR Images Using a Subject-Specific Dynamical Model
Zhu Y, Papademetris X, Sinusas AJ, Duncan JS. Segmentation of the Left Ventricle from Cardiac MR Images Using a Subject-Specific Dynamical Model. IEEE Transactions On Medical Imaging 2009, 29: 669-687. PMID: 19789107, PMCID: PMC2832728, DOI: 10.1109/tmi.2009.2031063.Peer-Reviewed Original ResearchConceptsSubject-specific dynamical modelGeneric dynamical modelDynamical modelStatistical modelSpecific dynamical modelRecursive Bayesian frameworkDynamic prediction algorithmStatic modelBayesian frameworkCardiac sequenceMotion modelActive Appearance Motion ModelsError propagationSpecific motion patternsPeriodic natureExperimental resultsPropagationCardiac shapeSegmentation resultsBackward directionSequential segmentationDynamicsModelMotion patternsOne-out
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