The presence of cortical lesions in multiple sclerosis patients has emerged as an important
biomarker of the disease. They appear in the earliest stages of the illness and have been …

Automated segmentation of brain white matter lesions is crucial for both clinical assessment
and scientific research in multiple sclerosis (MS). Over a decade ago, we introduced an …

Multiple sclerosis is an autoimmune inflammatory disease that affects the central nervous
system through chronic demyelination and loss of oligodendrocytes. Since the relapsing …

Objective Automated quantification of infratentorial multiple sclerosis lesions on magnetic
resonance imaging is clinically relevant but challenging. To overcome some of these …

Multiple sclerosis (MS) is a chronic, demyelinating disease affecting the central nervous
system. Diagnosis of MS is based on the proof of disease dissemination in time (DIT) and …

In neuroimaging, there is no equivalent alternative to magnetic resonance imaging (MRI).
However, image acquisitions are generally time-consuming, which may limit utilization in …

In multiple sclerosis (MS), white matter lesion (WML) instance masks are very relevant to
enhance diagnosis and disease monitoring. Yet, all existing automated WML segmentation …

White matter lesion (WML) segmentation applied to magnetic resonance imaging (MRI)
scans of people with multiple sclerosis has been an area of extensive research in recent …

Introduction Automatic whole brain and lesion segmentation at 7T presents challenges,
primarily from bias fields and susceptibility artifacts. Recent advances in segmentation …

White Matter Lesions (WML) are a common finding on MRI in healthy elderly people, as well
as in various diseases. In this dissertation thesis, we describe WML etiology …