Works matching AU Cebral, Juan
Results: 49
Patient-specific flow analysis of brain aneurysms at a single location: comparison of hemodynamic characteristics in small aneurysms.
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- Medical & Biological Engineering & Computing, 2008, v. 46, n. 11, p. 1113, doi. 10.1007/s11517-008-0400-5
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Comapping Cellular Content and Extracellular Matrix with Hemodynamics in Intact Arterial Tissues Using Scanning Immunofluorescent Multiphoton Microscopy.
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- Microscopy & Microanalysis, 2024, v. 30, n. 2, p. 342, doi. 10.1093/mam/ozae025
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Incorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessment.
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- Acta Neurochirurgica, 2020, v. 162, n. 3, p. 553, doi. 10.1007/s00701-020-04234-8
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External validation of cerebral aneurysm rupture probability model with data from two patient cohorts.
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- Acta Neurochirurgica, 2018, v. 160, n. 12, p. 2425, doi. 10.1007/s00701-018-3712-8
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A feature-preserving volumetric technique to merge surface triangulations.
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- International Journal for Numerical Methods in Engineering, 2002, v. 55, n. 2, p. 177, doi. 10.1002/nme.499
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From medical images to anatomically accurate finite element grids.
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- International Journal for Numerical Methods in Engineering, 2001, v. 51, n. 8, p. 985, doi. 10.1002/nme.205
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Generation of non-isotropic unstructured grids via directional enrichment.
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- International Journal for Numerical Methods in Engineering, 2000, v. 49, n. 1/2, p. 219, doi. 10.1002/1097-0207(20000910/20)49:1/2<219::AID-NME930>3.0.CO;2-3
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Modeling Fibrin Accumulation on Flow‐Diverting Devices for Intracranial Aneurysms.
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- International Journal for Numerical Methods in Biomedical Engineering, 2024, v. 40, n. 12, p. 1, doi. 10.1002/cnm.3883
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Flow reduction due to arterial catheterization during stroke treatment – A computational study using a distributed compartment model.
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- International Journal for Numerical Methods in Biomedical Engineering, 2024, v. 40, n. 10, p. 1, doi. 10.1002/cnm.3853
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Description of the local hemodynamic environment in intracranial aneurysm wall subdivisions.
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- International Journal for Numerical Methods in Biomedical Engineering, 2024, v. 40, n. 8, p. 1, doi. 10.1002/cnm.3844
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Distribution of rupture sites and blebs on intracranial aneurysm walls suggests distinct rupture patterns in ACom and MCA aneurysms.
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- International Journal for Numerical Methods in Biomedical Engineering, 2024, v. 40, n. 8, p. 1, doi. 10.1002/cnm.3837
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A one‐dimensional computational model for blood flow in an elastic blood vessel with a rigid catheter.
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- International Journal for Numerical Methods in Biomedical Engineering, 2024, v. 40, n. 7, p. 1, doi. 10.1002/cnm.3834
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Assessing a heterogeneous model for accounting for endovascular devices in hemodynamic simulations of cerebral aneurysms.
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- International Journal for Numerical Methods in Biomedical Engineering, 2023, v. 39, n. 11, p. 1, doi. 10.1002/cnm.3762
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Computational fluid dynamics‐based virtual angiograms for the detection of flow stagnation in intracranial aneurysms.
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- International Journal for Numerical Methods in Biomedical Engineering, 2023, v. 39, n. 8, p. 1, doi. 10.1002/cnm.3740
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Analysis of hemodynamic changes from aneurysm inception to large sizes.
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- International Journal for Numerical Methods in Biomedical Engineering, 2021, v. 37, n. 1, p. 1, doi. 10.1002/cnm.3415
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Image‐based modeling of blood flow in cerebral aneurysms treated with intrasaccular flow diverting devices.
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- International Journal for Numerical Methods in Biomedical Engineering, 2019, v. 35, n. 6, p. N.PAG, doi. 10.1002/cnm.3202
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Combining data from multiple sources to study mechanisms of aneurysm disease: Tools and techniques.
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- International Journal for Numerical Methods in Biomedical Engineering, 2018, v. 34, n. 11, p. N.PAG, doi. 10.1002/cnm.3133
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Plaque Morphology in High Versus Low Shear Stress Regions of Human Carotid Stenosis.
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- FASEB Journal, 2007, v. 21, n. 5, p. A16
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Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics.
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- Neurosurgical Focus, 2019, v. 47, n. 1, p. 1, doi. 10.3171/2019.4.FOCUS19145
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Comparison of body-fitted, embedded and immersed solutions of low Reynolds-number 3-D incompressible flows.
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- International Journal for Numerical Methods in Fluids, 2008, v. 57, n. 1, p. 13, doi. 10.1002/fld.1604
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Applications of patient-specific CFD in medicine and life sciences.
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- International Journal for Numerical Methods in Fluids, 2003, v. 43, n. 6/7, p. 637
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Estimation of the differential pressure at renal artery stenoses.
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- Magnetic Resonance in Medicine, 2004, v. 51, n. 5, p. 969, doi. 10.1002/mrm.20078
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In vitro evaluation of flow diverter performance using a human fibrinogen–based flow model.
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- Journal of Neurosurgery, 2025, v. 142, n. 1, p. 154, doi. 10.3171/2024.4.JNS232567
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Development of a statistical model for discrimination of rupture status in posterior communicating artery aneurysms.
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- Acta Neurochirurgica, 2018, v. 160, n. 8, p. 1643, doi. 10.1007/s00701-018-3595-8
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- Article
Regional Mapping of Flow and Wall Characteristics of Intracranial Aneurysms.
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- Annals of Biomedical Engineering, 2016, v. 44, n. 12, p. 3553, doi. 10.1007/s10439-016-1682-7
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Diversity in the Strength and Structure of Unruptured Cerebral Aneurysms.
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- Annals of Biomedical Engineering, 2015, v. 43, n. 7, p. 1502, doi. 10.1007/s10439-015-1252-4
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CFD for Evaluation and Treatment Planning of Aneurysms: Review of Proposed Clinical Uses and Their Challenges.
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- Annals of Biomedical Engineering, 2015, v. 43, n. 1, p. 122, doi. 10.1007/s10439-014-1093-6
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Suggested Connections Between Risk Factors of Intracranial Aneurysms: A Review.
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- Annals of Biomedical Engineering, 2013, v. 41, n. 7, p. 1366, doi. 10.1007/s10439-012-0723-0
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Quantification of the Rupture Potential of Patient-Specific Intracranial Aneurysms under Contact Constraints.
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- Bioengineering (Basel), 2021, v. 8, n. 11, p. 1, doi. 10.3390/bioengineering8110149
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Multimodal exploration of the intracranial aneurysm wall.
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- International Journal of Computer Assisted Radiology & Surgery, 2023, v. 18, n. 12, p. 2243, doi. 10.1007/s11548-023-02850-0
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Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.
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- International Journal of Computer Assisted Radiology & Surgery, 2020, v. 15, n. 1, p. 141, doi. 10.1007/s11548-019-02065-2
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Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II: rupture risk assessment.
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- International Journal of Computer Assisted Radiology & Surgery, 2019, v. 14, n. 10, p. 1795, doi. 10.1007/s11548-019-01986-2
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Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics.
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- International Journal of Computer Assisted Radiology & Surgery, 2018, v. 13, n. 11, p. 1767, doi. 10.1007/s11548-018-1837-0
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Deflated preconditioned conjugate gradient solvers for the pressure-Poisson equation: Extensions and improvements.
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- International Journal for Numerical Methods in Engineering, 2011, v. 87, n. 1-5, p. 2, doi. 10.1002/nme.2932
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Analysis of flow changes in side branches jailed by flow diverters in rabbit models.
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- International Journal for Numerical Methods in Biomedical Engineering, 2014, v. 30, n. 10, p. 988, doi. 10.1002/cnm.2640
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Strategy for analysis of flow diverting devices based on multi-modality image-based modeling.
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- International Journal for Numerical Methods in Biomedical Engineering, 2014, v. 30, n. 10, p. 951, doi. 10.1002/cnm.2638
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Morphometric, geographic, and territorial characterization of brain arterial trees.
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- International Journal for Numerical Methods in Biomedical Engineering, 2014, v. 30, n. 7, p. 755, doi. 10.1002/cnm.2627
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Hemodynamics in two tandem aneurysms treated with flow diverters.
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- International Journal for Numerical Methods in Biomedical Engineering, 2014, v. 30, n. 4, p. 517, doi. 10.1002/cnm.2614
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Effects of changing physiologic conditions on the in vivo quantification of hemodynamic variables in cerebral aneurysms treated with flow diverting devices.
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- International Journal for Numerical Methods in Biomedical Engineering, 2014, v. 30, n. 1, p. 135, doi. 10.1002/cnm.2594
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- Article
Computational fluid dynamics in brain aneurysms.
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- International Journal for Numerical Methods in Biomedical Engineering, 2012, v. 28, n. 6/7, p. 801, doi. 10.1002/cnm.1481
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CFD and PIV analysis of hemodynamics in a growing intracranial aneurysm.
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- International Journal for Numerical Methods in Biomedical Engineering, 2012, v. 28, n. 2, p. 214, doi. 10.1002/cnm.1459
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- Article
Computational hemodynamics framework for the analysis of cerebral aneurysms.
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- International Journal for Numerical Methods in Biomedical Engineering, 2011, v. 27, n. 6, p. 822, doi. 10.1002/cnm.1424
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Hemodynamic analysis of intracranial aneurysms with moving parent arteries: Basilar tip aneurysms.
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- International Journal for Numerical Methods in Biomedical Engineering, 2010, v. 26, n. 10, p. 1219, doi. 10.1002/cnm.1385
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Fast numerical solutions of patient-specific blood flows in 3D arterial systems.
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- International Journal for Numerical Methods in Biomedical Engineering, 2010, v. 26, n. 1, p. 73, doi. 10.1002/cnm.1235
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Unsteady wall shear stress analysis from image-based computational fluid dynamic aneurysm models under Newtonian and Casson rheological models.
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- Medical & Biological Engineering & Computing, 2014, v. 52, n. 10, p. 827, doi. 10.1007/s11517-014-1189-z
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Associations of hemodynamics, morphology, and patient characteristics with aneurysm rupture stratified by aneurysm location.
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- Neuroradiology, 2019, v. 61, n. 3, p. 275, doi. 10.1007/s00234-018-2135-9
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The effect of aneurysm geometry on the intra-aneurysmal flow condition.
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- Neuroradiology, 2010, v. 52, n. 12, p. 1135, doi. 10.1007/s00234-010-0687-4
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Understanding development of jugular bulb stenosis in vein of galen malformations: identifying metrics of complex flow dynamics in the cerebral venous vasculature of infants.
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- Frontiers in Physiology, 2023, p. 1, doi. 10.3389/fphys.2023.1113034
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Flow reversal in distal collaterals as a possible mechanism of delayed intraparenchymal hemorrhage after flow diversion treatment of cerebral aneurysms.
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- Frontiers in Physiology, 2022, v. 13, p. 1, doi. 10.3389/fphys.2022.881627
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