Commercial software based on artificial intelligence (AI) is entering clinical practice in
neuroradiology. Consequently, medico-legal aspects of using Software as a Medical Device …

Background Defacing has become mandatory for anonymization of brain MRI scans;
however, concerns regarding data integrity were raised. Thus, we systematically evaluated …

Purpose Recent advances in magnetic resonance (MR) scanner quality and the rapidly
improving nature of facial recognition software have necessitated the introduction of MR …

In brain imaging research, it is becoming standard practice to remove the face from the
individual's 3D structural MRI scan to ensure data privacy standards are met. Face removal …

Localising the sources of MEG/EEG signals often requires a structural MRI to create a head
model, while ensuring reproducible scientific results requires sharing data and code …

Large-scale neuroimaging datasets present unique challenges for automated processing
pipelines. Motivated by a large clinical trials dataset with over 235,000 MRI scans, we …

Cellular migration is a ubiquitous feature that brings brain cells into appropriate spatial
relationships over time; and it helps in the formation of a functional brain. We studied the …

Despite the huge potential of magnetic resonance imaging (MRI) in mapping and exploring
the brain, MRI measures can often be limited in their consistency, reproducibility, and …

Soft clustering techniques are extensively used for segmenting medical images, and in
particular, fuzzy c-means (FCM) clustering is employed to cluster the distinctive regions of …

Introduction: T1-weighted MRI is widely used in clinical neuroimaging for studying brain
structure and its changes, including those related to neurodegenerative diseases, and as …