Jonas Richiardi

Jonas Richiardi

Université de Lausanne

H-index: 33

Europe-Switzerland

About Jonas Richiardi

Jonas Richiardi, With an exceptional h-index of 33 and a recent h-index of 22 (since 2020), a distinguished researcher at Université de Lausanne, specializes in the field of machine learning, predictive radiology, computational systems biology, graph modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Independent Evaluation of Commercial Diagnostic AI Solutions: A Necessary Step toward Increased Transparency

Do you see what I see? Diffusion imaging protocol heterogeneity biases ischemic core volume, location, and clinical associations in acute stroke

Cognitive enrichment through art: a randomized controlled trial on the effect of music or visual arts group practice on cognitive and brain development of young children

Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis

Method and system for estimating brain tissue damage within white matter tracts from a quantitative map

Systematic Estimation of Treatment Effect on Hospitalization Risk as a Drug Repurposing Screening Method

Deep Spatio-Temporal Multiplex Graph Learning for Cardiac Imaging Classification

Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge

Jonas Richiardi Information

University

Position

Hospital and University of Lausanne

Citations(all)

5300

Citations(since 2020)

2638

Cited By

3767

hIndex(all)

33

hIndex(since 2020)

22

i10Index(all)

56

i10Index(since 2020)

34

Email

University Profile Page

Université de Lausanne

Google Scholar

View Google Scholar Profile

Jonas Richiardi Skills & Research Interests

machine learning

predictive radiology

computational systems biology

graph modelling

Top articles of Jonas Richiardi

Title

Journal

Author(s)

Publication Date

Independent Evaluation of Commercial Diagnostic AI Solutions: A Necessary Step toward Increased Transparency

Patrick Omoumi

Jonas Richiardi

2024/1/9

Do you see what I see? Diffusion imaging protocol heterogeneity biases ischemic core volume, location, and clinical associations in acute stroke

bioRxiv

Jonathan Rafael-Patino

Elda Fischi-Gomez

Antoine Madrona

Veronica Ravano

Benedicte Marechal

...

2024

Cognitive enrichment through art: a randomized controlled trial on the effect of music or visual arts group practice on cognitive and brain development of young children

BMC complementary medicine and therapies

Clara E James

Maxim Tingaud

Gianvito Laera

Carole Guedj

Sascha Zuber

...

2024/4/4

Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis

Journal of Neurology

Veronica Ravano

Gian Franco Piredda

Jan Krasensky

Michaela Andelova

Tomas Uher

...

2024/2

Method and system for estimating brain tissue damage within white matter tracts from a quantitative map

2023/10/12

Systematic Estimation of Treatment Effect on Hospitalization Risk as a Drug Repurposing Screening Method

Costa Georgantas

Jaume Banus

Roger Hullin

Jonas Richiardi

2023

Deep Spatio-Temporal Multiplex Graph Learning for Cardiac Imaging Classification

Jaume Banus

Augustin Ogier

Roger Hullin

Philippe Meyer

Ruud B van Heeswijk

...

2023/6/4

Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge

Neuroinformatics

Tommaso Di Noto

Guillaume Marie

Sebastien Tourbier

Yasser Alemán-Gómez

Oscar Esteban

...

2023/1

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

arXiv preprint arXiv:2305.16922

Nataliia Molchanova

Bénédicte Maréchal

Jean-Philippe Thiran

Tobias Kober

Till Huelnhagen

...

2023/5/26

Blood and CSF proteome alterations, and regional brain volumetry patterns associated with neuropsychiatric symptoms in a memory clinic cohort

Alzheimer's & Dementia

Miriam Rabl

Christopher Clark

Jonas Richiardi

Bénédicte Maréchal

Gene L Bowman

...

2023/12

Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation

Antoine Madrona

Sebastian Otálora

Elda Fischi-Gomez

Veronica Ravano

Bénédicte Maréchal

...

2023/4/18

Inter-regional correlation estimators for functional magnetic resonance imaging

NeuroImage

Sophie Achard

Jean-François Coeurjolly

Pierre Lafaye de Micheaux

Hanâ Lbath

Jonas Richiardi

2023/11/15

Anticipatory deficits in psychosis during social cognition task analysed by task-based EEG dynamic functional connectivity

Schizophrenia research

Anna Padée

Pascal Missonnier

Anne Prévot

Grégoire Favre

Isabelle Gothuey

...

2023/2/2

Method and system for automated central vein sign assessment

2023/10/26

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022 …

Michael Kamp

Irena Koprinska

Adrien Bibal

Tassadit Bouadi

Benoît Frénay

...

2022/2/18

Method and system for characterizing an impact of brain lesions on brain connectivity using mri

2022/1/20

Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect

Computer Methods and Programs in Biomedicine

Benedetta Franceschiello

Tommaso Di Noto

Alexia Bourgeois

Micah M Murray

Astrid Minier

...

2022/6/1

Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency

Veronica Ravano

Jean-François Démonet

Daniel Damian

Reto Meuli

Gian Franco Piredda

...

2022/9/18

OptiPulse: a flexible optimization framework for short water-selective radiofrequency pulse design

Xavier Sieber

Jessica Bastiaansen

Christopher W Roy

Jonas Richiardi

Matthias Stuber

...

2022

Preparing for a second attack: a lesion simulation study on network resilience after stroke

Stroke

Mitsouko van Assche

Julian Klug

Elisabeth Dirren

Jonas Richiardi

Emmanuel Carrera

2022/6

See List of Professors in Jonas Richiardi University(Université de Lausanne)

Co-Authors

H-index: 112
Patrik Vuilleumier

Patrik Vuilleumier

Université de Genève

H-index: 63
Dimitri Van De Ville

Dimitri Van De Ville

École Polytechnique Fédérale de Lausanne

H-index: 41
Janaina Mourao-Miranda

Janaina Mourao-Miranda

University College London

H-index: 40
Marie Schaer

Marie Schaer

Université de Genève

H-index: 33
Andre Altmann

Andre Altmann

University College London

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