Introduction: Over the past few years, the deep learning community has developed and
validated a plethora of tools for lesion detection and segmentation in Multiple Sclerosis …

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 …

Modern management of MS targets No Evidence of Disease Activity (NEDA): no clinical
relapses, no magnetic resonance imaging (MRI) disease activity and no disability …

Multiple Sclerosis (MS) is a Central Nervous System (CNS) disease that Magnetic
Resonance Imaging (MRI) system can detect and segment its lesions. Artificial Neural …

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 …

We present a deep learning method for the segmentation of new lesions in longitudinal
FLAIR MRI sequences acquired at two different time points. In our approach, the 3D volumes …

Deep learning (DL) techniques represent a rapidly advancing field within artificial
intelligence, gaining significant prominence in the detection and analysis of various medical …

In this work we present BIANCA‐MS, a novel tool for brain white matter lesion segmentation
in multiple sclerosis (MS), able to generalize across both the wide spectrum of MRI …

Background and introduction Federated learning (FL) has been widely employed for
medical image analysis to facilitate multi-client collaborative learning without sharing raw …

Accurately measuring the evolution of Multiple Sclerosis (MS) with magnetic resonance
imaging (MRI) critically informs understanding of disease progression and helps to direct …