Publications de Jonas Richiardi

Domain shift, domain adaptation, and generalization: A focus on MRI

Meritxell Bach Cuadra, Tobias Kober, Veronica Lily Ravano, Jonas Richiardi

Differences in acquisition protocols or hardware result in measurable changes in image characteristics. These differences affect distributional properties and can also affect the spatial and temporal characteristics of the images. Likewise, the distributio ...

Academic Press2025

Removing Facial Features From Structural Mri Images Biases Visual Quality Assessment

Elda Fischi Gomez, Patric Hagmann, Jonas Richiardi, Oscar Esteban Rucavado Leandro, Thomas Sanchez

A critical step before data-sharing of human neuroimaging is removing facial features to protect individuals' privacy. However, not only does this process redact identifiable information about individuals, but it also removes non-identifiable information. ...

PUBLIC LIBRARY SCIENCE2025

Multi-centre classification of functional neurological disorders based on resting-state functional connectivity

Dimitri Nestor Alice Van De Ville, Jonas Richiardi

Background: Patients suffering from functional neurological disorder (FND) experience disabling neurological symptoms not caused by an underlying classical neurological disease (such as stroke or multiple sclerosis). The diagnosis is made based on reliable ...

ELSEVIER SCI LTD2022

Plasma neurofilament light and phosphorylated tau 181 as biomarkers of Alzheimer's disease pathology and clinical disease progression

Bénédicte Marie Maréchal, Jonas Richiardi, Christopher Clark

BackgroundTo assess the performance of plasma neurofilament light (NfL) and phosphorylated tau 181 (p-tau181) to inform about cerebral Alzheimer's disease (AD) pathology and predict clinical progression in a memory clinic setting.MethodsPlasma NfL and p-ta ...

2021

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

Tobias Kober, Bénédicte Marie Maréchal, Reto Meuli, Jonas Richiardi, 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

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

Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends

Tobias Kober, Jonas Richiardi

Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After a bri ...

THIEME MEDICAL PUBL INC2019

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

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

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

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

SAGE PUBLICATIONS LTD2018

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

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

SAGE PUBLICATIONS LTD2018