Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …

Brain-age estimation has gained increased attention in the neuroscientific community owing
to its potential use as a biomarker of brain health. The difference between estimated and …

The term 'executive functions'(EFs) refers to a set of skills that support flexible control over
thought and action. Classic EFs (working memory, inhibitory control, and cognitive flexibility) …

Owing to the high cost of modern magnetic resonance imaging (MRI) systems, their use in
clinical care and neurodevelopmental research is limited to hospitals and universities in …

Synthetic data have emerged as an attractive option for develo** machine-learning
methods in human neuroimaging, particularly in magnetic resonance imaging (MRI)—a …

Low-field (LF) MRI scanners (< 1T) are still prevalent in settings with limited resources or
unreliable power supply. However, they often yield images with lower spatial resolution and …

Recently, there have been significant advancements in the development of portable low-
field (LF) magnetic resonance imaging (MRI) systems. These systems aim to provide low …

Supervised deep learning techniques can be used to generate synthetic 7T MRIs from 3T
MRI inputs. This image enhancement process leverages the advantages of ultra-high-field …

Magnetic resonance imaging (MRI) enables non-invasive monitoring of healthy brain
development and disease. Widely used higher field (> 1.5 T) MRI systems are associated …

Prior work on the Image Quality Transfer on Diffusion MRI (dMRI) has shown significant
improvement over traditional interpolation methods. However, the difficulty in obtaining ultra …