Morten Ø. Jensen
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
Also affiliated: Délégation Paris 5 (2013); Georgia Institute of Technology (2001–2016); Harvard University (2008); Emory University (2015); Inserm (2013); University of Occupational and Environmental Health Japan (2013); Aarhus University (2009–2016); Université Paris Cité (2013); D. E. Shaw Research (2009); University of Arkansas Medical Center (2025); Aarhus University Hospital (2008–2018); The Wallace H. Coulter Department of Biomedical Engineering (2008–2016); Aarhus School of Architecture (2008–2012); Massachusetts General Hospital (2008–2013); Hôpital Européen Georges-Pompidou (2013); Essex Cardiothoracic Centre (2011–2017)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Morten Ø. Jensen's research focuses on the development and application of advanced models and techniques for studying cardiovascular function and disease. He is the Principal Investigator on two federal grants totaling $464,982. One grant from the NIH/National Heart Lung and Blood Institute, for $414,982, aims to enhance a force-validated heart valve surgical planning tool. The other, a $50,000 NSF grant, supports the development of a pediatric breath practice spirometry device.
His recent publications investigate topics such as the use of self-supervised learning for multi-lead ECG arrhythmia classification, the creation of custom wall-less cardiovascular flow phantoms, and the assessment of PEGylated gold nanoparticle toxicity in cardiomyocytes. Jensen's work also includes in vitro studies on blood clot formation and dissolution for stroke treatment device testing, numerical modeling of hemodynamic flow in patients with congenital heart disease, and the development of an in vitro mitral valve model to enable static trans-mitral pressure measurements. He has also published on the sinotubular junction-to-aortic annulus ratio as a determinant of supravalvar aortic stenosis severity and the effects of anesthetics on peripheral venous pressure waveforms.
Jensen holds an h-index of 20, with 119 total publications and 1,582 citations. He collaborates with several researchers at the University of Arkansas at Fayetteville, including Sam E. Stephens (14 shared publications), Hanna Jensen (11 shared publications), Paul C. Millett (7 shared publications), and Jingxian Wu (6 shared publications). He is a member of the ARA Academy as an ARA Scholar, with a research area designated as Cardiovascular Engineering.
Metrics
- h-index: 20
- Publications: 120
- Citations: 1,593
Selected Publications
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Intravascular volume status detection with Integral Pulse Frequency Modulation (IPFM) synthesized peripheral venous pressure waveforms (2026)
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Experimental and computational models for intracardiac flow analysis with blood speckle imaging (2026)
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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)
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
Enhancing the Force Validated Heart Valve Surgical Planning Tool
Collaboration Network
Top Collaborators
- 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*
- Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions
Showing 5 of 15 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
- 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
- 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
- Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
- 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
- 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
- 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
- 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
- Experimental and computational models for intracardiac flow analysis with blood speckle imaging
- 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
- 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
- 100.22 Dual-Guidewire Balloon-Catheter Design for Coronary Bifurcations
- 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 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
- 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
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