2024
Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning
Pak D, Liu M, Kim T, Liang L, Caballero A, Onofrey J, Ahn S, Xu Y, McKay R, Sun W, Gleason R, Duncan J. Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning. IEEE Transactions On Medical Imaging 2024, 43: 203-215. PMID: 37432807, PMCID: PMC10764002, DOI: 10.1109/tmi.2023.3294128.Peer-Reviewed Original ResearchConceptsFinite element analysisDeep learning methodsSpatial accuracyElement analysisDeep learningStress estimationLearning methodsSimulation accuracyDeployment simulationHigh spatial accuracyThin structuresMesh generationVolumetric meshingDeformation energyGeometry modelingVolumetric meshMesh qualityElement qualitySimultaneous optimizationMain noveltyBiomechanics studiesMeshModeling characteristicsAccuracyDownstream analysis
2021
Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves
Pak D, Liu M, Kim T, Liang L, McKay R, Sun W, Duncan J. Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves. Lecture Notes In Computer Science 2021, 12906: 485-494. DOI: 10.1007/978-3-030-87231-1_47.Peer-Reviewed Original ResearchFinite element analysisVolumetric meshFinite element methodMesh generation techniqueFinite element mesh generationWatertight surface meshesSurface meshElement analysisElement methodStress analysisMeshing techniqueClosure simulationHexahedral elementsGood spatial accuracyDeformation frameworkMesh generationElement qualityOffset operationAccurate generationDeep learningSpatial accuracyDistortion energyMeshModeling strategyGeneration techniqueWeakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images
Pak D, Liu M, Ahn S, Caballero A, Onofrey J, Liang L, Sun W, Duncan J. Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images. Lecture Notes In Computer Science 2021, 12729: 637-648. DOI: 10.1007/978-3-030-78191-0_49.Peer-Reviewed Original ResearchSupervised deep learningTranscather aortic valve replacementDeep learningSegmentation labelsMesh generationCorrespondence accuracyHeavy assumptionsFinite element mesh generationMesh topologyVolumetric meshLow contrastSignificant bottleneckValve modelingProblem formulationPrediction modelModel performanceCT imagesDeformation strategyLarge amountImagesBottleneckLearningMeshFrameworkLabels
2015
Remodeling Characteristics and Collagen Distribution in Biological Scaffold Materials Explanted From Human Subjects After Abdominal Soft Tissue Reconstruction
Cavallo JA, Roma AA, Jasielec MS, Ousley J, Creamer J, Pichert MD, Baalman S, Frisella MM, Matthews BD, Deeken CR. Remodeling Characteristics and Collagen Distribution in Biological Scaffold Materials Explanted From Human Subjects After Abdominal Soft Tissue Reconstruction. Annals Of Surgery 2015, 261: 405-415. PMID: 24374547, PMCID: PMC4072753, DOI: 10.1097/sla.0000000000000471.Peer-Reviewed Original ResearchMeSH KeywordsAbdominal WallAcellular DermisAdultAgedBiocompatible MaterialsBiomarkersBiopsyCollagen Type ICollagen Type IIIDecision Support TechniquesFemaleHerniorrhaphyHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPatient Outcome AssessmentRisk AssessmentRisk FactorsSurgical MeshTissue ScaffoldsWound Healing
2007
Spectral partitioning works: Planar graphs and finite element meshes
Spielman D, Teng S. Spectral partitioning works: Planar graphs and finite element meshes. Linear Algebra And Its Applications 2007, 421: 284-305. DOI: 10.1016/j.laa.2006.07.020.Peer-Reviewed Original ResearchBounded-degree planar graphsPlanar graphsSpectral partitioning methodLaplacian matrixSmallest eigenvalueFinite element meshRatio of verticesClass of graphsDimensional meshesElement meshSpectral partitioning techniquesNumerical algorithmFiedler vectorPartitioning methodSmall separatorsTwo-dimensional meshEdge cutGraphSpectral bisectionEigenvaluesPartitioning techniquesMeshBoundsEigenvectorsMatrix
1996
Dense nonrigid motion tracking from a sequence of velocity fields
Meyer F, Constable R, Sinusas A, Duncan J. Dense nonrigid motion tracking from a sequence of velocity fields. 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 1996, 839-844. DOI: 10.1109/cvpr.1996.517169.Peer-Reviewed Original ResearchSpectral partitioning works: planar graphs and finite element meshes
Spielman D, Teng S. Spectral partitioning works: planar graphs and finite element meshes. 2011 IEEE 52nd Annual Symposium On Foundations Of Computer Science 1996, 96-105. DOI: 10.1109/sfcs.1996.548468.Peer-Reviewed Original ResearchBounded-degree planar graphsPlanar graphsSpectral partitioning methodLaplacian matrixSmallest eigenvalueFinite element meshRatio of verticesClass of graphsDimensional meshesElement meshSpectral partitioning techniquesNumerical algorithmFiedler vectorPartitioning methodSmall separatorsTwo-dimensional meshEdge cutGraphSpectral bisectionEigenvaluesPartitioning techniquesMeshEigenvectorsBoundsMatrix
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