Publications by Francesco La Rosa

Streamline RimNet: Tools for Automatic Classification of Paramagnetic Rim Lesions in MRI of Multiple Sclerosis

Meritxell Bach Cuadra, Cristina Granziera, Francesco La Rosa, Maxence Charles F Wynen

This site provides two software tools related to "RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis" by Barquero et al. NeuroImage: Clinical (2020). People using in part or f ...

Zenodo2023

Toward a joint automated assessment of cortical and paramagnetic rim lesions with 7T MRI

Meritxell Bach Cuadra, Francesco La Rosa

SAGE PUBLICATIONS LTD2022

BMAT: An open-source BIDS managing and analysis tool

Meritxell Bach Cuadra, Francesco La Rosa, Maxence Charles F Wynen, Benoît Macq

Magnetic Resonance Imaging (MRI) is an established technique to study in vivo neurological disorders such as Multiple Sclerosis (MS). To avoid errors on MRI data organization and automated processing, a standard called Brain Imaging Data Structure (BIDS) h ...

ELSEVIER SCI LTD2022

Fluid and White Matter Suppression New Sensitive 3 T Magnetic Resonance Imaging Contrasts for Cortical Lesion Detection in Multiple Sclerosis

Meritxell Bach Cuadra, Francesco La Rosa

Objective Cortical lesions are common in multiple sclerosis (MS), but their visualization is challenging on conventional magnetic resonance imaging. The uniform image derived from magnetization prepared 2 rapid acquisition gradient echoes (MP2RAGE(uni)) de ...

LIPPINCOTT WILLIAMS & WILKINS2022

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues

Jean-Philippe Thiran, Meritxell Bach Cuadra, Tobias Kober, Francesco La Rosa, Cristina Granziera, Maxence Charles F Wynen

The current diagnostic criteria for multiple sclerosis (MS) lack specificity, and this may lead to misdiagnosis, which remains an issue in present-day clinical practice. In addition, conventional biomarkers only moderately correlate with MS disease progres ...

ELSEVIER SCI LTD2022

Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI

Jean-Philippe Thiran, Francesco La Rosa

Manually segmenting multiple sclerosis (MS) cortical lesions (CLs) is extremely time consuming, and past studies have shown only moderate inter-rater reliability. To accelerate this task, we developed a deep-learning-based framework (CLAIMS: Cortical Lesio ...

WILEY2022

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Francesco La Rosa

Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system and affects almost 3 million people worldwide. There is currently no cure for MS, and its symptoms, starting with fatigue and weakness, often progress over time ...

EPFL2022

GAMER-MRI in Multiple Sclerosis Identifies the Diffusion-Based Microstructural Measures That Are Most Sensitive to Focal Damage: A Deep-Learning-Based Analysis and Clinico-Biological Validation

Meritxell Bach Cuadra, Francesco La Rosa

Conventional magnetic resonance imaging (cMRI) in multiple sclerosis (MS) patients provides measures of focal brain damage and activity, which are fundamental for disease diagnosis, prognosis, and the evaluation of response to therapy. However, cMRI is ins ...

FRONTIERS MEDIA SA2021

CLaiMS-Net: cortical lesions assessment in multiple sclerosis patients via a convolutional neural network and a single 3T MRI acquisition

Jean-Philippe Thiran, Meritxell Bach Cuadra, Cristina Granziera, Muhamed Barakovic, Francesco La Rosa, Po-Jui Lu

SAGE PUBLICATIONS LTD2021

An assessment of intra-scanner reproducibility of myelin-sensitive MRI measures

Meritxell Bach Cuadra, Cristina Granziera, Muhamed Barakovic, Francesco La Rosa, Lester Melie Garcia, Yi Wang, Po-Jui Lu

SAGE PUBLICATIONS LTD2021