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 …

Radiological images are increasingly being used in healthcare and medical research. There
is, consequently, widespread interest in accurately relating information in the different …

Deep learning has gained great popularity due to its widespread success on many inference
problems. We consider the application of deep learning to the sparse linear inverse …

Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …

This comprehensive and engaging textbook introduces the basic principles and techniques
of signal processing, from the fundamental ideas of signals and systems theory to real-world …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Cellular senescence—the permanent arrest of cycling in normally proliferating cells such as
fibroblasts—contributes both to age‐related loss of mammalian tissue homeostasis and acts …

A new method based on the Young–Laplace equation for measuring contact angles and
surface tensions is presented. In this approach, a first-order perturbation technique helps to …

In this paper, we make contact with the field of nonparametric statistics and present a
development and generalization of tools and results for use in image processing and …

A modified version of empirical mode decomposition (EMD) is presented to solve the mode
mixing problem. The sifting process is completed using a time varying filter technique. In this …