Given the risks and cost of hospitalization, there has been significant interest in exploiting
machine learning models to improve perioperative care. However, due to the high …

The most widespread technique used to register sets of medical images consists of selecting
one image as fixed reference, to which all remaining images are successively registered …

T1 and ECV mapping are quantitative methods for myocardial tissue characterization using
cardiac MRI, and are highly relevant for the diagnosis of diffuse myocardial diseases. Since …

Purpose To evaluate the accuracy and reproducibility of myocardial blood flow
measurements obtained under different breathing strategies and motion correction …

Purpose To develop a model‐based motion correction (MoCo) method that does not need
an analytical signal model to improve the quality of cardiac multi‐parametric mapping …

Quantification of image similarity is a common problem in image processing. For pairs of two
images, a variety of options is available and well-understood. However, some applications …

Multichannel image registration is an important challenge in medical image analysis.
Multichannel images result from modalities such as dual-energy CT or multispectral …

T1 mapping is a valuable quantitative MRI technique for diagnosing diffuse myocardial
diseases. Traditional methods, relying on breath-hold sequences and echo triggering, face …

Image-based transcriptomics involves determining spatial patterns in gene expression
across cells and tissues. Image registration is a necessary component of data analysis …

Objectives: Our study aimed to evaluate myocardial strain and tissue characteristics by
multiparametric cardiovascular magnetic resonance (CMR) imaging in end stage renal …