This paper introduces an adaptive filtering process based on shrinking wavelet coefficients
from the corresponding signal wavelet representation. The filtering procedure considers a …

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

The main task of medical image registration is to match different modal images or the same
modal images of different periods to provide the doctor with richer diagnostic information …

We propose to optimize the activation functions of a deep neural network by adding a
corresponding functional regularization to the cost function. We justify the use of a second …

Multimodal integration between mass spectrometry imaging (MSI) and radiology-established
modalities such as magnetic resonance imaging (MRI) would allow the investigations of key …

We investigate time encoding as an alternative method to classical sampling, and address
the problem of reconstructing classes of non-bandlimited signals from time-based samples …

A strategy called random subset is presented to reduce systematic error in digital image
correlation caused by intensity interpolation. In classical digital image correlation …

In this paper, a set of techniques used for downsampling and upsampling of 2D images is
analyzed on various image datasets. The comparison takes into account a significant …

We study continuous-domain linear inverse problems with generalized total-variation (gTV)
regularization, expressed in terms of a regularization operator L. It has recently been proved …

This book describes in detail the fundamental mathematics and algorithms of machine
learning (an example of artificial intelligence) and signal processing, two of the most …