Morten Ø. Jensen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
◆ ARA Academy
Federal Grant PI
Associate Professor
faculty
19 h-index
125 pubs
1,559 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Morten Ø. Jensen's research focuses on cardiovascular engineering, with a specific emphasis on developing and testing medical devices and models for studying heart conditions. His work includes the creation of custom wall-less cardiovascular flow phantoms using tissue-mimicking gels to simulate physiological conditions. He has investigated the development of in vitro models for the mitral valve, utilizing vacuum-assisted closure to enable static trans-mitral pressure measurements. Jensen has also explored the hemodynamic flow within the aortic vessel, including numerical studies related to congenital heart disease.
His research extends to the assessment of nanoparticle toxicity in cardiomyocytes, examining the influence of size, concentration, and exposure time. Additionally, he has contributed to research on blood clot formation and dissolution for the evaluation of stroke treatment devices, as well as investigating the relationship between the sinotubular junction-to-aortic annulus ratio and the severity of supravalvar aortic stenosis. Jensen's work also touches upon the effects of anesthetics on peripheral venous pressure waveforms.
With an h-index of 19 and over 124 publications, Jensen has a notable record of scholarly output. He is a principal investigator on federal grants and collaborates with several researchers at the University of Arkansas at Fayetteville, including Sam E. Stephens, Hanna Jensen, Paul C. Millett, and Jingxian Wu.
Metrics
- h-index: 19
- Publications: 125
- Citations: 1,559
Selected Publications
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100.22 Dual-Guidewire Balloon-Catheter Design for Coronary Bifurcations (2026)
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Development and Characteristics of a Dual-Layered Vascular Phantom (2025)
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TCT-368 Novel Dual-Guidewire Balloon-Catheter Design for Coronary Bifurcations (2025)
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The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis (2025)
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Pulse Rate Variability Analysis During Hemorrhage in an Experimental Porcine Model (2025)
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Addressing the barriers to peritoneal dialysis—Visual appeal matters (2025)
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Inertia-Driven Mitral and Aortic Valves: The Isovolumic Myth (2025)
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Ross Confers More Favorable Left Ventricular Remodeling Compared With Mechanical Aortic Valve Replacement (2024)
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Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease (2024)
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Numerical Study of Hemodynamic Flow in the Aortic Vessel of Williams Syndrome Patient with Congenital Heart Disease (2024)
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Numerical Studies of Hemodynamic Flow in the Aortic Vessel of Patients With Congenital Heart Disease (2023)
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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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Investigation of a novel intracardiac flow parameter using blood speckle imaging (2023)
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Utilization of Engineering Advances for Detailed Biomechanical Characterization of the Mitral–Ventricular Relationship to Optimize Repair Strategies: A Comprehensive Review (2023)
ARA Academy 2015 ARA Scholar
Dr. Jensen's research concentrates on experimental cardiovascular surgery and development of lifesaving technology for cardiovascular procedures. He was appointed to the Danish Academy of Engineering and became the youngest recipient of the prestigious "Elektroprisen" award since 1965.
Policy Impact
Develops lifesaving cardiovascular surgical technologies, attracting international recognition and advancing Arkansas's medical device research capabilities.
Growth Areas
['Population Health Innovations & Clinical Research']
Federal Grants 2 $464,982 total
NIH/National Heart Lung and Blood Institute
Contact PI
Aug 2025 - Jul 2028
Enhancing the Force Validated Heart Valve Surgical Planning Tool
NSF
PI
Jun 2022 - May 2023
Collaboration Network
Top Collaborators
Sam E. Stephens
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)
13 shared publications
- PEGylated Gold Nanoparticle Toxicity in Cardiomyocytes: Assessment of Size, Concentration, and Time Dependency
- 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
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
Showing 5 of 13 shared publications
Jingxian Wu
University of Arkansas at Fayetteville
6 shared publications
In database
- Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
- 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
Showing 5 of 6 shared publications
Kevin W. Sexton
University of Arkansas for Medical Sciences
6 shared publications
In database
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- 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
- 370 Developing a Digitally Integrated Endotracheal Tube for Neonates to Improve Safety and Respiratory Function
- 312 Developing a Digitally Integrated Endotracheal Tube for Neonates to Improve Safety and Respiratory Function
Showing 5 of 6 shared publications
Paul C. Millett
University of Arkansas at Fayetteville
6 shared publications
In database
- Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease
- 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
- Numerical Study of Hemodynamic Flow in the Aortic Vessel of Williams Syndrome Patient with Congenital Heart Disease
Showing 5 of 6 shared publications
Joseph A. Sanford
University of Arkansas for Medical Sciences
4 shared publications
In database
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- 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
R. Thomas Collins
University of Kentucky (US)
4 shared publications
- Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease
- 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
Neil B. Ingels
University of Arkansas at Fayetteville
4 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
- Utilization of Engineering Advances for Detailed Biomechanical Characterization of the Mitral–Ventricular Relationship to Optimize Repair Strategies: A Comprehensive Review
- Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker
- Inertia-Driven Mitral and Aortic Valves: The Isovolumic Myth
Md Abul Hayat
University of Arkansas at Fayetteville (US)
3 shared publications
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- 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
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
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
Justin T. Jack
University of Arkansas at Fayetteville
3 shared publications
In database
- Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- Numerical Studies of Hemodynamic Flow in the Aortic Vessel of Patients With Congenital Heart Disease
Jonathan F. Wenk
University of Kentucky (US)
3 shared publications
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- Utilization of Engineering Advances for Detailed Biomechanical Characterization of the Mitral–Ventricular Relationship to Optimize Repair Strategies: A Comprehensive Review
- Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker
Kaitlyn M. Elmer
University of Arkansas at Fayetteville
3 shared publications
In database
- Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions
- TCT-368 Novel Dual-Guidewire Balloon-Catheter Design for Coronary Bifurcations
- Development and Characteristics of a Dual-Layered Vascular Phantom
Similar Researchers
Based on overlapping research topics
Neil B. Ingels
University of Arkansas at Fayetteville
Mechanical Circulatory Support Devices
Cardiac Valve Diseases and Treatments
Cardiovascular Function and Risk Factors
Sam E. Stephens
University of Arkansas at Fayetteville
Mechanical Circulatory Support Devices
Cardiac Valve Diseases and Treatments
Cardiovascular Function and Risk Factors
Abraham Zabih
University of Arkansas for Medical Sciences
Cardiovascular Function and Risk Factors
Congenital Heart Disease Studies
Medical Imaging Techniques and Applications
Haytham Alkhaimy
University of Arkansas for Medical Sciences
Cardiac Valve Diseases and Treatments
Cardiovascular Function and Risk Factors
Congenital Heart Disease Studies
Landon Bruich
University of Arkansas for Medical Sciences
Mechanical Circulatory Support Devices
Cardiovascular Function and Risk Factors
Pharmacological Effects and Toxicity Studies
Benjamin W. Theisen
University of Arkansas for Medical Sciences
Cardiovascular Function and Risk Factors
Congenital Heart Disease Studies
Medical Imaging Techniques and Applications