Quantitative analysis of brain MRI is routine for many neurological diseases and conditions
and relies on accurate segmentation of structures of interest. Deep learning-based …

In recent years, deep convolutional neural networks (CNNs) have shown record-shattering
performance in a variety of computer vision problems, such as visual object recognition …

Medical image analysis helps in resolving clinical issues by examining clinically generated
images. In today's world of deep learning (DL) along with advances in computer vision, the …

The intricate neuroinflammatory diseases multiple sclerosis (MS) and neuromyelitis optica
(NMO) often present similar clinical symptoms, creating challenges in their precise detection …

Multiple sclerosis (MS) is a chronic disease. It affects the central nervous system and its
clinical manifestation can variate. Magnetic Resonance Imaging (MRI) is often used to …

Longitudinal analysis of white matter lesion changes on serial MRI has become an important
parameter to study diseases with white-matter lesions. Here, we build on earlier work on …

Introduction: Longitudinal magnetic resonance imaging (MRI) has an important role in
multiple sclerosis (MS) diagnosis and follow-up. Specifically, the presence of new T2-w …

Background White matter hyperintensities (WMH), of presumed vascular origin, are visible
and quantifiable neuroradiological markers of brain parenchymal change. These changes …

Multiple Sclerosis (MS) is an autoimmune disease that causes brain and spinal cord lesions,
which magnetic resonance imaging (MRI) can detect and characterize. Recently, deep …

Multiple sclerosis (MS) is a chronic autoimmune disease characterized by demyelinating
lesions that are often visible on magnetic resonance imaging (MRI). Segmentation of these …