2024
DOI: 10.1098/rsif.2024.0194
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Reconstructing blood flow in data-poor regimes: a vasculature network kernel for Gaussian process regression

Shaghayegh Z. Ashtiani,
Mohammad Sarabian,
Kaveh Laksari
et al.

Abstract: Blood flow reconstruction in the vasculature is important for many clinical applications. However, in clinical settings, the available data are often quite limited. For instance, transcranial Doppler ultrasound is a non-invasive clinical tool that is commonly used in clinical settings to measure blood velocity waveforms at several locations. This amount of data is grossly insufficient for training machine learning surrogate models, such as deep neural networks or Gaussian process regression. In this work, we p… Show more

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