Mathematical and numerical modelling of the cardiovascular system is a research topic that
has attracted remarkable interest from the mathematical community because of its intrinsic …

With heart and cardiovascular diseases continually challenging healthcare systems
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …

This book places data assimilation (DA) into the broader context of inverse problems and the
theory, methods, and algorithms that are used for their solution. It strives to provide a …

Mathematical and numerical modelling of the human cardiovascular system has attracted
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …

Patient-specific cardiac models are now being used to guide therapies. The increased use
of patient-specific cardiac simulations in clinical care will give rise to the development of …

Mathematical and computational modeling of the cardiovascular system is increasingly
providing non‐invasive alternatives to traditional invasive clinical procedures. Moreover, it …

High-fidelity patient-specific modeling of cardiovascular flows and hemodynamics is
challenging. Direct blood flow measurement inside the body with in-vivo measurement …

We present a fast, patient‐specific methodology for uncertainty quantification in
electrophysiology, aimed at meeting the time constraints of clinical practitioners. We focus …

Clinical oriented applications of computational electrocardiology require efficient and
reliable identification of patient-specific parameters of mathematical models based on …

Biophysical models of the atrium provide a physically constrained framework for describing
the current state of an atrium and allow predictions of how that atrium will respond to …