What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …

Quantitative magnetic resonance imaging (qMRI) goes beyond conventional MRI, which
aims primarily at local image contrast. It provides specific physical parameters related to the …

Historically, clinical MRI started with main magnetic field strengths in the∼ 0.05–0.35 T
range. In the past 40 years there have been considerable developments in MRI hardware …

This review article provides an overview of a range of recent technical developments in
advanced arterial spin labeling (ASL) methods that have been developed or adopted by the …

Objectives The introduction of the 2016 WHO classification of CNS tumors has made the
combined molecular and histopathological characterization of tumors a pivotal part of glioma …

Purpose To develop and evaluate a novel deep learning‐based image reconstruction
approach called MANTIS (Model‐Augmented Neural neTwork with Incoherent k‐space …

Magnetic resonance fingerprinting (MRF) is a quantitative imaging technique that can
simultaneously measure multiple important tissue properties of human body. Although MRF …

Quantitative radiomics features, extracted from medical images, characterize tumour-
phenotypes and have been shown to provide prognostic value in predicting clinical …

Myelin is the protective sheath wrapped around axons, consisting of a phospholipid bilayer
with water between the wraps. The measurement of damage to the myelin sheaths, the …

Biomarker discovery and development are popular for detecting the subtle diseases.
However, biomarkers are needed to be validated and approved, and even fewer are ever …