Francesco La Rosa

Cette personne n’est plus à l’EPFL

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Publications associées (32)

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

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

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, Hamza Kebiri, Cristina Granziera, Po-Jui Lu, Francesco La Rosa

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

Axonal damage explains part of and extends beyond the diffuse pathology evidenced by T1 mapping in normal-appearing white matter of multiple sclerosis patients

Meritxell Bach Cuadra, Cristina Granziera, Po-Jui Lu, Francesco La Rosa

SAGE PUBLICATIONS LTD2019

Axonal and myelin injury in white matter and cortex of relapsing-remitting and progressive multiple sclerosis patients: a combined myelin water and multi-shell diffusion MRI study

Meritxell Bach Cuadra, Cristina Granziera, Po-Jui Lu, Francesco La Rosa, Yi Wang

SAGE PUBLICATIONS LTD2019

Deep learning-based detection of cortical lesions in multiple sclerosis patients with FLAIR, DIR, and MP2RAGE MRI sequences

Jean-Philippe Thiran, Meritxell Bach Cuadra, Ahmed Abdulkadir, Cristina Granziera, Mario Joao Fartaria de Oliveira, Po-Jui Lu, Francesco La Rosa

SAGE PUBLICATIONS LTD2019

Deep learning analysis applied to multi-parametric advanced MRI shows higher myelin content and neurite density in juxtacortical lesions compared to periventricular lesions

Meritxell Bach Cuadra, Cristina Granziera, Alessandro Daducci, Po-Jui Lu, Francesco La Rosa, Yi Wang

SAGE PUBLICATIONS LTD2019

Deep learning-based detection of cortical lesions in multiple sclerosis patients with FLAIR, DIR, and MP2RAGE MRI sequences

Jean-Philippe Thiran, Meritxell Bach Cuadra, Cristina Granziera, Mario Joao Fartaria de Oliveira, Po-Jui Lu, Francesco La Rosa

London, SAGE PUBLICATIONS LTD2019

Differential diagnosis of multiple sclerosis with machine learning-based central vein sign recognition

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

SAGE PUBLICATIONS LTD2018

Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

Jonas Richiardi, Jean-Philippe Thiran, Meritxell Bach Cuadra, Tobias Kober, Cristina Granziera, Mario Joao Fartaria de Oliveira, Francesco La Rosa

In this work, we present a comparison of a shallow and a deep learning architecture for the automated segmentation of white matter lesions in MR images of multiple sclerosis patients. In particular, we train and test both methods on early stage disease pat ...

Springer2018

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