Publications de Mario Joao Fartaria de Oliveira

Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study

Jonas Richiardi, Reto Meuli, Bénédicte Marie Maréchal, Tobias Kober, Mario Joao Fartaria de Oliveira

The translational potential of MR-based connectivity modelling is limited by the need for advanced diffusion imaging, which is not part of clinical protocols for many diseases. In addition, where diffusion data is available, brain connectivity analyses rel ...

2021

Toward fully automated assessment of the central vein sign using deep learning

Tobias Kober, Mario Joao Fartaria de Oliveira

SAGE PUBLICATIONS LTD2021

Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes

Meritxell Bach Cuadra, Guillaume Bonnier, Cristina Granziera, Mario Joao Fartaria de Oliveira, Po-Jui Lu

Introduction:Changes in cortical and white matter lesion (CL, WML) load are pivotal metrics to diagnose and monitor multiple sclerosis patients. Yet, the relationship between (i) changes in CL/WML load and disease progression and between (ii) changes in CL ...

FRONTIERS MEDIA SA2020

Partial-volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia

Meritxell Bach Cuadra, Patric Hagmann, Elena Najdenovska, Zita Rovó, Mario Joao Fartaria de Oliveira, Erick Jorge Canales Rodriguez, Kim Do

The structural complexity of the thalamus, due to its mixed composition of gray and white matter, make it challenging to disjoint and quantify each tissue contribution to the thalamic anatomy. This work promotes the use of partial-volume-based over probabi ...

Wiley2020

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

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

The presence of cortical lesions in multiple sclerosis patients has emerged as an important biomarker of the disease. They appear in the earliest stages of the illness and have been shown to correlate with the severity of clinical symptoms. However, cortic ...

2020

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

Serum GFAP in multiple sclerosis: correlation with disease type and MRI markers of disease severity

Bénédicte Marie Maréchal, Tobias Kober, Mario Joao Fartaria de Oliveira, Ricardo Alberto Corredor Jerez

Neurofilament light chain (NfL) has been demonstrated to correlate with multiple sclerosis disease severity as well as treatment response. Nevertheless, additional serum biomarkers are still needed to better differentiate disease activity from disease prog ...

Nature Research2020

Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE

Meritxell Bach Cuadra, Tobias Kober, Cristina Granziera, Kieran O'Brien, Mario Joao Fartaria de Oliveira

Objectives The aim of this study was to develop a new automated segmentation method of white matter (WM) and cortical multiple sclerosis (MS) lesions visible on magnetization-prepared 2 inversion-contrast rapid gradient echo (MP2RAGE) images acquired at 7 ...

LIPPINCOTT WILLIAMS & WILKINS2019

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Meritxell Bach Cuadra, Tobias Kober, Cristina Granziera, Mario Joao Fartaria de Oliveira

Purpose: The goals of this study were to assess the performance of a novel lesion segmentation tool for longitudinal analyses, as well as to validate the generated lesion progression map between two time points using conventional and non-conventional MR se ...

2019

Episodic memory decline in Parkinson' s disease: relation with white matter hyperintense lesions and influence of quantification method

Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Tobias Kober, Mario Joao Fartaria de Oliveira

The relation of white matter hyperintense lesions to episodic memory impairment in patients with Parkinson's disease (PD) is still controversial. We aimed at evaluating the relation between white matter hyperintense lesions and episodic memory decline in p ...

SPRINGER2019

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

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

A fully automated approach for differential diagnosis support in multiple sclerosis based on the central vein sign

Meritxell Bach Cuadra, Reto Meuli, Tobias Kober, Cristina Granziera, Mario Joao Fartaria de Oliveira

SAGE PUBLICATIONS LTD2019

Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI

Guillaume Bonnier, Wietske Van der Zwaag, Gunnar Krüger, Yohan Boillat, Cristina Granziera, Kieran O'Brien, Mario Joao Fartaria de Oliveira

Although having a relatively homogeneous cytoarchitectonic organization, the cerebellar cortex is a heterogeneous region characterized by different amounts of myelin, iron and protein expression profiles. In this study, we used quantitative T1 and T2* mapp ...

2018

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

Accuracy versus reproducibility: comprehensive assessment of four automated methods for multiple sclerosis lesion segmentation

Jonas Richiardi, Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Tobias Kober, Cristina Granziera, Mario Joao Fartaria de Oliveira, Ricardo Alberto Corredor Jerez

SAGE PUBLICATIONS LTD2018

Mario Joao Fartaria de Oliveira

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Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study

Toward fully automated assessment of the central vein sign using deep learning

Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes

Partial-volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

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

Serum GFAP in multiple sclerosis: correlation with disease type and MRI markers of disease severity

Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Episodic memory decline in Parkinson' s disease: relation with white matter hyperintense lesions and influence of quantification method

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

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

A fully automated approach for differential diagnosis support in multiple sclerosis based on the central vein sign

Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI

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

Partial volume-aware assessment of multiple sclerosis lesions

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

Improving clinico-radiological correlation in multiple sclerosis with automated tract and topology annotations

Automated assessment of new and enlarged white matter and cortical lesions in early multiple sclerosis

Accuracy versus reproducibility: comprehensive assessment of four automated methods for multiple sclerosis lesion segmentation