Francesco La Rosa

Cette personne n’est plus à l’EPFL

Publications associées (32)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Quantitative susceptibility mapping classifies white matter lesions with different myelin and axonal content and quantifies diffuse pathology in MS

Francesco La Rosa

SAGE PUBLICATIONS LTD2020

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

Meritxell Bach Cuadra, Tobias Kober, Reto Meuli, João Pedro Forjaco Jorge, Cristina Granziera, Francesco La Rosa, Jonas Richiardi, Mario Joao Fartaria de Oliveira

The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We describe a ...

2020

Rimnet: a deep 3D multimodal MRI architecture for paramagnetic rim lesions assessment in multiple sclerosis

Francesco La Rosa

SAGE PUBLICATIONS LTD2020

Advanced magnetic resonance imaging for myelin and axonal density in ms: correlation with clinical disability and serum neurofilament levels

Francesco La Rosa

SAGE PUBLICATIONS LTD2020

RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

Meritxell Bach Cuadra, Tobias Kober, Francesco La Rosa, Cristina Granziera, Hamza Kebiri, Po-Jui Lu

Objectives In multiple sclerosis (MS), the presence of a paramagnetic rim at the edge of non-gadolinium-enhancing lesions indicates perilesional chronic inflammation. Patients featuring a higher paramagnetic rim lesion burden tend to have more aggressive d ...

2020