S
Sam E. Stephens Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
6 h-index
24 pubs
76 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Sam E. Stephens' research focuses on the development and testing of medical devices and computational models, with a particular emphasis on cardiovascular applications. Stephens has investigated in vitro models for studying blood clot formation and dissolution, crucial for evaluating new stroke-treatment devices. Further work includes the creation of custom cardiovascular flow phantoms to mimic physiological conditions and the development of an in vitro mitral valve model designed to facilitate static trans-mitral pressure measurements. Stephens also contributes to the field of precision medicine through the design of a customizable angioplasty balloon-forming machine for coronary bifurcation lesion interventions. Additionally, Stephens has explored the predictive capabilities of computational models for conditions such as supravalvar aortic stenosis and the analysis of arterial and venous pressure waveforms during anesthesia and hemorrhage.
Metrics
- h-index: 6
- Publications: 24
- Citations: 76
Selected Publications
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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)
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A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome (2021)
Collaboration Network
Top Collaborators
Morten Ø. Jensen
University of Arkansas at Fayetteville
14 shared publications
In database
- Development of Custom Wall-Less Cardiovascular Flow Phantoms with Tissue-Mimicking Gel
- In Vitro Blood Clot Formation and Dissolution for Testing New Stroke-Treatment Devices
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- 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
Showing 5 of 14 shared publications
Hanna Jensen
University of Arkansas for Medical Sciences (US)
9 shared publications
- In Vitro Blood Clot Formation and Dissolution for Testing New Stroke-Treatment Devices
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- 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
- Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions
Showing 5 of 9 shared publications
Dana B. Gal
Stanford University (US)
3 shared publications
- 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
R. Thomas Collins
Stanford University (US)
3 shared publications
- 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
Elijah H. Bolin
Arkansas Children's Hospital (US)
3 shared publications
- 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
Joshua Daily
Arkansas Children's Hospital
3 shared publications
In database
- 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
Paul C. Millett
University of Arkansas at Fayetteville
3 shared publications
In database
- 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
Adria Abella Villafranca
University of Arkansas for Medical Sciences
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Joseph A. Sanford
University of Arkansas for Medical Sciences
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Jingxian Wu
University of Arkansas at Fayetteville
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Kevin W. Sexton
University of Arkansas for Medical Sciences
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Kirstie MacMillen
Lucile Packard Children's Hospital (US)
2 shared publications
- 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
Neil B. Ingels
University of Arkansas at Fayetteville
2 shared publications
In database
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker
Jonathan F. Wenk
University of Kentucky (US)
2 shared publications
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker
Kaitlyn M. Elmer
University of Arkansas at Fayetteville
2 shared publications
In database
- Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions
- Development and Characteristics of a Dual-Layered Vascular Phantom
Similar Researchers
Based on overlapping research topics
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