Back to search

Article

Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment

2023-10-03

Abstract excerpt

Conducting computational stress-strain analysis using finite element methods (FEM) is a common approach when dealing with the complex geometries of atherosclerosis, which is a leading cause of global mortality and complex cardiovascular disease. The considerable expense linked to FEM analysis encourages the substitution of FEM with a considerably faster data-driven machine learning (ML) approach. This study invest...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
89294f9c-9313-5392-b0dd-faaee815c929
DOI
10.20944/preprints202310.0114.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk AssessmentDOI 10.20944/preprints202310.0114.v1
Select a neighboring publication to make it the new centre.