Martin R Pfaller
Assistant ProfessorCards
About
Research
Publications
2026
Influence of Coronary Plaque Morphology on Local Mechanical States and Associated In-Stent Restenosis.
Datz J, Steinbrecher I, Krefting J, Engel L, Popp A, Pfaller M, Schunkert H, Wall W. Influence of Coronary Plaque Morphology on Local Mechanical States and Associated In-Stent Restenosis. Journal Of Biomechanical Engineering 2026, 148 PMID: 41700823, DOI: 10.1115/1.4071133.Peer-Reviewed Original ResearchConceptsLocal mechanical stateMechanical stateLocal mechanical quantitiesLocal tensile stressCoronary artery modelTensile stressStress distributionMechanical quantitiesInfluence of morphological featuresArtery modelHigh stressIn-stent restenosisComputer simulationsMorphologyStressMechanical factorsArterial wall
2025
svZeroDSolver: A modular package for lumped-parameter cardiovascular simulations
Menon K, Richter J, Pfaller M, Pham J, Mathew E, Harold K, Dorn N, Verma A, Marsden A. svZeroDSolver: A modular package for lumped-parameter cardiovascular simulations. The Journal Of Open Source Software 2025, 10: 7595. PMID: 42078005, PMCID: PMC13132497, DOI: 10.21105/joss.07595.Peer-Reviewed Original ResearchBayesian Windkessel calibration using optimized zero-dimensional surrogate models
Richter J, Nitzler J, Pegolotti L, Menon K, Biehler J, Wall W, Schiavazzi D, Marsden A, Pfaller M. Bayesian Windkessel calibration using optimized zero-dimensional surrogate models. Philosophical Transactions Of The Royal Society A Mathematical Physical And Engineering Sciences 2025, 383: 20240223. PMID: 40078147, DOI: 10.1098/rsta.2024.0223.Peer-Reviewed Original ResearchPatient-specific coronary angioplasty simulations — A mixed-dimensional finite element modeling approach
Datz J, Steinbrecher I, Meier C, Hagmeyer N, Engel L, Popp A, Pfaller M, Schunkert H, Wall W. Patient-specific coronary angioplasty simulations — A mixed-dimensional finite element modeling approach. Computers In Biology And Medicine 2025, 189: 109914. PMID: 40068490, PMCID: PMC13238462, DOI: 10.1016/j.compbiomed.2025.109914.Peer-Reviewed Original ResearchAssessment of Aortic Dissection Remodeling With Patient-Specific FluidStructure Interaction Models
Bumler K, Rolf-Pissarczyk M, Schussnig R, Fries T, Mistelbauer G, Pfaller M, Marsden A, Fleischmann D, Holzapfel G. Assessment of Aortic Dissection Remodeling With Patient-Specific FluidStructure Interaction Models. IEEE Transactions On Biomedical Engineering 2025, 72: 953-964. PMID: 39401111, PMCID: PMC12994412, DOI: 10.1109/tbme.2024.3480362.Peer-Reviewed Original ResearchConceptsFluid-structure interaction modelWall shear stressIn-plane displacementsFlap stiffnessJet impingementFlapping motionMaterial propertiesChronic phaseShear stressJet velocityLocal pressure increaseAortic growthAortic dissectionAnisotropic propertiesIn-planeBoundary conditionsEntry tear sizeSubacute phaseLeft subclavian arteryPatients aortic dissectionsPatient's blood pressurePressure increaseDissection remodelingLong-term remodelingSimulationA software benchmark for cardiac elastodynamics
Aróstica R, Nolte D, Brown A, Gebauer A, Karabelas E, Jilberto J, Salvador M, Bucelli M, Piersanti R, Osouli K, Augustin C, Finsberg H, Shi L, Hirschvogel M, Pfaller M, Africa P, Gsell M, Marsden A, Nordsletten D, Regazzoni F, Plank G, Sundnes J, Dede’ L, Peirlinck M, Vedula V, Wall W, Bertoglio C. A software benchmark for cardiac elastodynamics. Computer Methods In Applied Mechanics And Engineering 2025, 435: 117485. DOI: 10.1016/j.cma.2024.117485.Peer-Reviewed Original Research
2024
Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences
Rubio N, Pegolotti L, Pfaller M, Darve E, Marsden A. Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences. Computers In Biology And Medicine 2024, 184: 109420. PMID: 39608038, PMCID: PMC13271075, DOI: 10.1016/j.compbiomed.2024.109420.Peer-Reviewed Original ResearchConceptsReduced-order modelReduced-orderTransient flowPressure differenceComputational fluid dynamics modelMachine-learning techniquesFluid dynamics modelSimulation of blood flowPressure lossVascular bifurcationsPressure predictionTotal pressurePhysics-basedFlow modelDynamic modelBifurcation typeNeural networkPatient-specific vasculatureComputational costAccurate predictionGeometric typeFlowPhysical interpretationBifurcationPerformanceAdaptive integration of history variables in constrained mixture models for organ‐scale growth and remodeling
Gebauer A, Pfaller M, Szafron J, Wall W. Adaptive integration of history variables in constrained mixture models for organ‐scale growth and remodeling. International Journal For Numerical Methods In Biomedical Engineering 2024, 40: e3869. PMID: 39300801, DOI: 10.1002/cnm.3869.Peer-Reviewed Original ResearchConceptsConstrained mixture modelsComputational costMixture modelAdaptive integrationConstrained mixture theoryFinite element meshReal world examplesComputational resourcesMemory requirementsMixture theoryExternal loadElement meshParameter studyMechanobiological processesG&RCardiovascular modelIntegration errorMechanobiological environmentSimulationFSGe: A fast and strongly-coupled 3D fluid–solid-growth interaction method
Pfaller M, Latorre M, Schwarz E, Gerosa F, Szafron J, Humphrey J, Marsden A. FSGe: A fast and strongly-coupled 3D fluid–solid-growth interaction method. Computer Methods In Applied Mechanics And Engineering 2024, 431: 117259. PMID: 39430055, PMCID: PMC11484312, DOI: 10.1016/j.cma.2024.117259.Peer-Reviewed Original ResearchWall shear stressG&R modelIntramural stressVariation of wall shear stressHyperelastic material modelNavier-Stokes equationsFluid-solid-growthMaterial modelMaterial propertiesShear stressSimulation resultsThree-dimensionalComputational examplesComputational costEvolving geometryG&RWall adaptationLocal variationsFluid solutionStressA probabilistic neural twin for treatment planning in peripheral pulmonary artery stenosis
Lee J, Richter J, Pfaller M, Szafron J, Menon K, Zanoni A, R. M, Feinstein J, Kreutzer J, Marsden A, Schiavazzi D. A probabilistic neural twin for treatment planning in peripheral pulmonary artery stenosis. International Journal For Numerical Methods In Biomedical Engineering 2024, 40: e3820-e3820. PMID: 38544354, PMCID: PMC11131421, DOI: 10.1002/cnm.3820.Peer-Reviewed Original ResearchConceptsPulmonary arterial treeTreatment planningPeripheral pulmonary artery stenosisOnline estimationPulmonary artery rehabilitationPulmonary artery stenosisComputational costPulmonary artery diseaseTraining dataset generationData-driven architectureTime-critical decisionsNeural twinHigh-fidelity modelDegree of augmentationModel repositoriesDataset generationArtery diseaseArtery stenosisVascular repairArterial treeModel reductionMultiple stenosesSample-based approachZero-dimensional approximationOptimization techniques
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