Treelike structures abound in natural as well as man-made transport systems, which have
fascinated multidisciplinary researchers to study the transport phenomena and properties …

Advances in computational science offer a principled pipeline for predictive modeling of
cardiovascular flows and aspire to provide a valuable tool for monitoring, diagnostics and …

Background: Various computational models of the circle of Willis (CoW) have been
developed to non-invasively estimate the blood flow and hemodynamic parameters in …

Mimicking angiogenetic processes in vascular territories acquires importance in the analysis
of the multi-scale circulatory cascade and the coupling between blood flow and cell function …

We present a computational framework for model inversion based on multi-fidelity
information fusion and Bayesian optimization. The proposed methodology targets the …

We investigated variations in haemodynamics in response to simulated microgravity across
a semi-subject-specific three-dimensional (3D) continuous arterial network connecting the …

The aim of this work is to present an overview of recent advances in multi-scale modeling of
brain blood flow. In particular, we present some approaches that enable the in silico study of …

Patient-specific one-dimensional (1D) blood flow modeling requires estimating model
parameters from available clinical data, ideally acquired noninvasively. The larger the …

Abstract One-dimensional (1D) modeling is a widely adopted approach for studying wave
propagation phenomena in the arterial system. Despite the frequent use of the Windkessel …

The human brain is possibly the most complex organ in existence. This complexity means
that it is capable of great feats, yet has ensured that it remains surprisingly poorly …