Cardiovascular mathematics : modeling and simulation of the circulatory system
By Luca Formaggia, Alfio Maria Quarteroni, Alessandro Veneziani. 2009
631 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8d8476a41b1daf91a3e7a97fbb99771879e6acd2
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Citations in the corpus
- Two‐phase flows in karstic geometry (2014, background): “htm, [17]), Polymer Electrolyte Membrane (or Proton Exchange Membrane) fuel cell technology (water management in PEM fuel cell [18]), and biomedical sciences (cardiovascular modeling and simulation, see for instance [19]).”
- Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning (2019, methodology): “ues introduce new capabilities for monitoring the human cardiovascular system from dierent perspectives such as disease surveys [43], bio-medical image processing [21, 19], computational mathematics [14, 13, 42, 17], bio-physics [51, 24], etc. These studies reveal the crucial role played by blood flo”