White matter hyperintensities (WMHs) represent the most common neuroimaging marker of
cerebral small vessel disease (CSVD). The volume and location of WMHs are important …

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 …

Here we present a method for the simultaneous segmentation of white matter lesions and
normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of …

Background White matter hyperintensities (WMH), a biomarker of small vessel disease, are
often found in Alzheimer's disease (AD) and their advanced detection and quantification can …

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 …

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 …

The disease caused by the new type of coronavirus, Covid-19, has posed major public
health challenges for many countries. With its rapid spread, since the beginning of the …

Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an
underestimated global problem. In biomedical image analysis, chosen performance metrics …

Purpose The incidence of breast cancer increases every year. Early detection of the disease
is critical since the sooner the disease is discovered the better are the treatments and the …