Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an MRI technique
for quantifying perfusion that can be used in clinical applications for classification of tumours …

This article presents a generic probabilistic framework for estimating the statistical
dependency and finding the anatomical correspondences among an arbitrary number of …

This retrospective study aims to evaluate the generalizability of a promising state-of-the-art
multitask deep learning (DL) model for predicting the response of locally advanced rectal …

Objectives Accurate classification of focal liver lesions is an important part of liver disease
diagnostics. In clinical practice, the lesion type is often determined from the abdominal MR …

INTRODUCTION Chronic cerebral hypoperfusion is one of the assumed pathophysiological
mechanisms underlying vascular cognitive impairment (VCI). We investigated the …

Medical image registration is vital for precise healthcare diagnosis, treatment planning, and
disease progression tracking, but traditional methods fail to capture complex spatial …

The intravoxel incoherent motion (IVIM) model for diffusion-weighted imaging (DWI) MRI
data bears much promise as a tool for visualizing tumours and monitoring treatment …

Multi-compartment models of diffusion and relaxation are ubiquitous in magnetic resonance
research especially applied to neuroimaging applications. These models are increasingly …

Purpose In this work, we present the MASSIVE (Multiple Acquisitions for Standardization of
Structural Imaging Validation and Evaluation) brain dataset of a single healthy subject …

Linux containers present a lightweight solution to package applications into images and
instantiate them in isolated environments. Such images may include vulnerabilities that can …