Sam E. Stephens
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Biography and Research Information
OverviewAI-generated summary
Sam E. Stephens' research focuses on developing and utilizing advanced imaging and modeling techniques for cardiovascular applications. His work includes the creation of custom wall-less cardiovascular flow phantoms using tissue-mimicking gel for in vitro studies. Stephens has investigated high-resolution imaging of the mitral valve using 7 Tesla MRI and developed an in vitro mitral valve model with unrestricted ventricular access. He has also explored simulating nephron ion transport function and modeling peripheral arterial and venous pressure signals.
His research network includes collaborators such as Morten Ø. Jensen and Hanna Jensen from the University of Arkansas at Fayetteville, with whom he has co-authored numerous publications. Stephens' scholarship is reflected in his h-index of 6 and 26 total publications. His recent work also includes investigations into in vitro blood clot formation and dissolution for testing stroke-treatment devices, and the relationship between the sinotubular junction-to-aortic annulus ratio and supravalvar aortic stenosis severity.
Metrics
- h-index: 5
- Publications: 23
- Citations: 80
Selected Publications
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Human and Porcine Marginal Chordal Forces in a Vacuum Based Physiological In Vitro Mitral Valve Model (2026)
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Experimental and computational models for intracardiac flow analysis with blood speckle imaging (2026)
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Development and Characteristics of a Dual-Layered Vascular Phantom (2025)
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The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis (2025)
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Addressing the barriers to peritoneal dialysis—Visual appeal matters (2025)
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Design, fabrication, and evaluation of 3-D–printed cystotomy spoons as a retrieval method in dogs (2023)
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Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation (2023)
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In Vitro Blood Clot Formation and Dissolution for Testing New Stroke-Treatment Devices (2022)
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Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage (2022)
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Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions (2022)
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Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker (2022)
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In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure (2022)
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A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome (2021)
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Development of Custom Wall-Less Cardiovascular Flow Phantoms with Tissue-Mimicking Gel (2021)
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The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity* (2021)
Collaboration Network
Top Collaborators
- High resolution imaging of the mitral valve in the natural state with 7 Tesla MRI
- Development of Custom Wall-Less Cardiovascular Flow Phantoms with Tissue-Mimicking Gel
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- In Vitro Blood Clot Formation and Dissolution for Testing New Stroke-Treatment Devices
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
Showing 5 of 19 shared publications
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- In Vitro Blood Clot Formation and Dissolution for Testing New Stroke-Treatment Devices
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
Showing 5 of 11 shared publications
- High resolution imaging of the mitral valve in the natural state with 7 Tesla MRI
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- MicroCT Imaging of Heart Valve Tissue in Fluid
- Bonding Mitral Valve Leaflets in the Closed Configuration for High Resolution Micro-CT Imaging
- Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker
Showing 5 of 6 shared publications
- High resolution imaging of the mitral valve in the natural state with 7 Tesla MRI
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- MicroCT Imaging of Heart Valve Tissue in Fluid
- Bonding Mitral Valve Leaflets in the Closed Configuration for High Resolution Micro-CT Imaging
- Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- Fluid-Structure Interaction Modeling and Validation of Idealized Left Ventricular Blood Flow
- Development of Custom Wall-Less Cardiovascular Flow Phantoms with Tissue-Mimicking Gel
- Simulating nephron ion transport function using activated wafer electrodeionization
- Author Correction: Simulating nephron ion transport function using activated wafer electrodeionization
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- Experimental and computational models for intracardiac flow analysis with blood speckle imaging
- Human and Porcine Marginal Chordal Forces in a Vacuum Based Physiological In Vitro Mitral Valve Model
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
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