Publications by Jonas Richiardi

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

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

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

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

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

Jonas Richiardi, Dimitri Nestor Alice Van De Ville

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

Jonas Richiardi, Bénédicte Marie Maréchal, 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

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

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

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

Jonas Richiardi, Tobias Kober

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

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

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

Identifying motor functional neurological disorder using resting-state functional connectivity

Jonas Richiardi, Dimitri Nestor Alice Van De Ville

2018

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

Jonas Richiardi, Patric Hagmann, Reto Meuli, Tobias Kober, Caterina Bigoni, Mario Joao Fartaria de Oliveira

SAGE PUBLICATIONS LTD2018

Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing‐remitting multiple sclerosis

Jonas Richiardi, Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Guillaume Bonnier, David Paul Roger Romascano, Gunnar Krüger, Cristina Granziera, Alessandro Daducci, Alexis Roche, Ying-Chia Lin

Background: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast “connectometry” approach to assess the structural and functional ...

Wiley-Blackwell2015

Cerebellar Connectomics Provide New Biomarkers in Early Multiple Sclerosis

Jonas Richiardi, Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Guillaume Bonnier, David Paul Roger Romascano, Gunnar Krüger, Cristina Granziera, Alessandro Daducci, Alexis Roche, Ying-Chia Lin

The cerebellum is involved in multiple sclerosis (MS), but its implication in early phases is still poorly understood. We investigated structural and functional cerebellar connectivity alterations in early and minimally impaired MS patients, and their corr ...

2014

Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest

Jonas Richiardi, Dimitri Nestor Alice Van De Ville, Nora Leonardi

Functional connectivity (FC) as measured by correlation between NM BOLD time courses of distinct brain regions has revealed meaningful organization of spontaneous fluctuations in the resting brain. However, an increasing amount of evidence points to non-st ...

Elsevier2013

Functional Connectivity Eigennetworks Reveal Different Brain Dynamics In Multiple Sclerosis Patients

Jonas Richiardi, Dimitri Nestor Alice Van De Ville, Nora Leonardi

Resting state functional connectivity is defined as correlations in brain activity measured by functional magnetic resonance imaging without any stimulation paradigm. Such connectivity is dynamic, even over the course of minutes, and the development of too ...

Ieee2013

Connectivity Searchlight: A Novel Approach For Mri Information Mapping Using Multivariate Connectivity

Jonas Richiardi, Dimitri Nestor Alice Van De Ville, Soheil Faridi

Brain mapping using magnetic resonance imaging (MRI) is traditionally performed using voxel-wise statistical hypothesis testing. Such mass-univariate approach ignores subtle spatial interactions. The searchlight method, in contrast, uses a multivariate pre ...

Ieee2013

Event-related potentials and changes of brain rhythm oscillations during working memory activation in patients with first-episode psychosis

Jonas Richiardi

Background: Earlier contributions have documented significant changes in sensory, attention-related endogenous event-related potential (ERP) components and theta band oscillatory responses during working memory activation in patients with schizophrenia. In ...

2012

Decoding brain states from fMRI connectivity graphs

Jonas Richiardi, Dimitri Nestor Alice Van De Ville

Functional connectivity analysis of fMRI data can reveal synchronised activity between anatomically distinct brain regions. Here, we extract the characteristic connectivity signatures of different brain states to perform classification, allowing us to deco ...

2011

Bayesian networks and information theory for audio-visual perception modeling

Jonas Richiardi, Patricia Besson

Thanks to their different senses, human observers acquire multiple information coming from their environment. Complex cross-modal interactions occur during this perceptual process. This article proposes a framework to analyze and model these interactions t ...

2010