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 technique