A deep learning framework for design and analysis of surgical bioprosthetic heart valves
A Balu, S Nallagonda, F Xu, A Krishnamurthy… - Scientific reports, 2019 - nature.com
Bioprosthetic heart valves (BHVs) are commonly used as heart valve replacements but they
are prone to fatigue failure; estimating their remaining life directly from medical images is …
are prone to fatigue failure; estimating their remaining life directly from medical images is …
A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis
Structural finite-element analysis (FEA) has been widely used to study the biomechanics of
human tissues and organs, as well as tissue–medical device interactions, and treatment …
human tissues and organs, as well as tissue–medical device interactions, and treatment …
Distortion energy for deep learning-based volumetric finite element mesh generation for aortic valves
Volumetric meshes with hexahedral elements are generally best for stress analysis using
finite element (FE) methods. With recent interests in finite element analysis (FEA) for …
finite element (FE) methods. With recent interests in finite element analysis (FEA) for …
A feasibility study of deep learning for predicting hemodynamics of human thoracic aorta
Numerical analysis methods including finite element analysis (FEA), computational fluid
dynamics (CFD), and fluid–structure interaction (FSI) analysis have been used to study the …
dynamics (CFD), and fluid–structure interaction (FSI) analysis have been used to study the …
Cardiovision: a fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis
A Rouhollahi, JN Willi, S Haltmeier, A Mehrtash… - … Medical Imaging and …, 2023 - Elsevier
Aortic stenosis (AS) is the most prevalent heart valve disease in western countries that
poses a significant public health challenge due to the lack of a medical treatment to prevent …
poses a significant public health challenge due to the lack of a medical treatment to prevent …
Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography images
To conduct a patient‐specific computational modeling of the aortic valve, 3‐D aortic valve
anatomic geometries of an individual patient need to be reconstructed from clinical 3‐D …
anatomic geometries of an individual patient need to be reconstructed from clinical 3‐D …
Towards a non-invasive computational diagnostic framework for personalized cardiology of transcatheter aortic valve replacement in interactions with complex …
Aortic stenosis is an acute and chronic cardiovascular disease that often coexists with other
complex valvular, ventricular and vascular diseases (C3VD). Transcatheter aortic valve …
complex valvular, ventricular and vascular diseases (C3VD). Transcatheter aortic valve …
Soft robotic patient-specific hydrodynamic model of aortic stenosis and ventricular remodeling
Aortic stenosis (AS) affects about 1.5 million people in the United States and is associated
with a 5-year survival rate of 20% if untreated. In these patients, aortic valve replacement is …
with a 5-year survival rate of 20% if untreated. In these patients, aortic valve replacement is …
A deep learning approach for the automatic recognition of prosthetic mitral valve in echocardiographic images
M Vafaeezadeh, H Behnam, A Hosseinsabet… - Computers in Biology …, 2021 - Elsevier
The first step in the automatic evaluation of the cardiac prosthetic valve is the recognition of
such valves in echocardiographic images. This research surveyed whether a deep …
such valves in echocardiographic images. This research surveyed whether a deep …
Effects of choice of medical imaging modalities on a non-invasive diagnostic and monitoring computational framework for patients with complex valvular, vascular, and …
M Baiocchi, S Barsoum, S Khodaei… - … in Bioengineering and …, 2021 - frontiersin.org
Due to the high individual differences in the anatomy and pathophysiology of patients,
planning individualized treatment requires patient-specific diagnosis. Indeed, hemodynamic …
planning individualized treatment requires patient-specific diagnosis. Indeed, hemodynamic …