Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in
hospitals across the world. These have the potential to revolutionize our understanding of …

A large range of sophisticated brain image analysis tools have been developed by the
neuroscience community, greatly advancing the field of human brain mapping. Here we …

At present, the excellent performance of support vector machine (SVM) has made it
successfully applied in many fields. However, when SVM is used for two-dimensional matrix …

The thalamus is a central brain structure crucially involved in cognitive, emotional, sensory,
and motor functions and is often reported to be involved in the pathophysiology of …

Deep learning (DL) methods have in recent years yielded impressive results in medical
imaging, with the potential to function as clinical aid to radiologists. However, DL models in …

Brain atlases and templates are at the heart of neuroimaging analyses, for which they
facilitate multimodal registration, enable group comparisons and provide anatomical …

Multiple Sclerosis (MS) is an autoimmune demyelinating disease characterised by changes
in iron and myelin content. These biomarkers are detectable by Quantitative Susceptibility …

Brain morphometry is usually based on non‐enhanced (pre‐contrast) T1‐weighted MRI.
However, such dedicated protocols are sometimes missing in clinical examinations. Instead …

Segmentation of white matter lesions and deep grey matter structures is an important task in
the quantification of magnetic resonance imaging in multiple sclerosis. In this paper we …