Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Master: Olivier Colliot coordinates the course "Methods for medical imaging" of the Master 2 in Computer Science of Sorbonne University and teaches 4.5 hours (eqTD).

• Master: F. De Vico Fallani, 3 hours (eqTD), "Methods for medical imaging" of the Master 2 in Computer Science of Sorbonne University.

• Master: Olivier Colliot coordinates the course "Artificial Intelligence" of the Master 2 Bioentrepreneur of Paris-Descartes University and teaches 30 hours (eqTD).

• Master: S. Epelbaum, Master in Neuroscience, 4 hours (eqTD), Sorbonne University

• Master: S. Durrleman, Master Mathématiques, Vision, Apprentissage (MVA), ENS Paris-Saclay (21 hrs cours magistral)

• Engineering school: Olivier Colliot, 3 hours (eqTD), Mines ParisTech

• Medical school: Didier Dormont is the Director of the University Diploma (DIU) “Diagnostic and Therapeutic Neuroradiology", Sorbonne University

• Medical school: Didier Dormont, Courses for Medical Students, Sorbonne University

• Medical school: Didier Dormont organizes and participates in the practical teaching of Neuroradiology for Medical Students in the Department of Diagnostic Neuroradiology of Pitié Salpêtrière University Hospital

• Medical school: Didier Dormont organizes and participates in the practical teaching of Neuroradiology for Radiology Specializing Residents in the Department of Diagnostic Neuroradiology of Pitié Salpêtrière University Hospital

• Medical school: S. Epelbaum gives lectures in Neurology on the topic of degenerative diseases for medical students of Sorbonne University (10 hours/year) and is regional supervisor of the national Inter University Diploma on Alzheimer's disease and Related disorders for Paris since 2015.

Supervision

• PhD in progress : Juliana Gonzalez-Astudillo, “Network features for brain-computer interfaces”, UPMC, started in 2019, advisor: Fabrizio De Vico Fallani

• PhD in progress : Giulia Bassignana, “Identification of driver nodes in biological networks”, Inserm, started in 2017, advisors: Fabrizio De Vico Fallani, Olivier Colliot, Violetta Zujovic

• PhD in progress : Tiziana Cattai, “Leveraging brain connectivity networks to detect mental states in brain-computer interfaces”, Inria, started in 2017, advisor: Fabrizio De Vico Fallani

• PhD in progress : Virgilio Kmetzsch, “CMultimodal analysis of neuroimaging and transcriptomic data in genetic fronto-temporal dementia”, Sorbonne University, Started in 2019, advisors: Olivier Colliot, Emmanuelle Becker and Olivier Dameron

• PhD in progress: Wen Wei, “Learning brain alterations in multiple sclerosis from multimodal neuroimaging data”, Université de Nice Sophia-Antipolis, Started in 2016, advisors: N. Ayache, O. Colliot and S. Durrleman

• PhD in progress: Alexandre Bône, “Learning methods for the spatiotemporal analysis of longitudinal image data: application to the diagnosis, prognosis and monitoring of Alzheimer’s disease”, started in 2016, advisors: O. Colliot and S. Durrleman

• PhD in progress: Igor Koval, “Construction of disease progression models from multimodal longitudinal data”, started in 2016, advisors: S. Allassonnière and S. Durrleman

• PhD in progress: Raphael Couronné, “Spatiotemporal analysis of the progression of the Parkinson's Disease informed by multimodal longitudinal data”, started in 2018, advisor: S. Durrleman

• PhD in progress: Thomas Lartigue, “Mixture Models in Gaussian Graphical Models”, started in 2017, advisors: S. Allassonnière and S. Durrleman

• PhD in progress: Vianney Debavelaere, “Analysis of distribution of spatiotemporal trajectories in heterogeneous populations”, started in 2018, advisors: S. Allassonnière and S. Durrleman

• PhD in progress: Johann Faouzi, “Machine learning approaches to predict impulse control disorders in Parkinson's disease”, started in 2018, advisors: O. Colliot and J.-C. Corvol

• PhD in progress: Simona Bottani, “Machine learning for differential diagnosis of neurodegenerative diseases from multimodal data”, started in 2018, advisors: O. Colliot and N. Burgos

• PhD in progress: Elina Thibeau--Sutre, “Unsupervised learning from neuroimaging data to identify disease subtypes in Alzheimer’s disease and related disorders”, started in 2018, advisors: D. Dormont and N. Burgos

• PhD in progress: Federica Cacciamani, “Awareness for cognitive decline in the earliest stages of Alzheimer’s disease”, started in 2018, advisor: S. Epelbaum

• PhD in progress: Paul Vernhet, “Learning dynamical systems for disease progression modeling”, started in 2019, advisor: S. Durrleman

• PhD in progress: Clément Mantoux, “Statistical analysis of graphs”, started in 2019, advisors: S. Durrleman and S. Allassonnière

Juries

• Olivier Colliot participated, as referee, to the PhD committee of Killian Hett (University of Bordeaux).

• Olivier Colliot participated, as referee, to the PhD committee of Florian Tilquin (University of Strasbourg).

• Olivier Colliot participated, as thesis director, to the PhD committee of Jorge Samper-Gonzalez (Sorbonne University).

• Olivier Colliot participated, as thesis director, to the PhD committee of Junhao Wen (Sorbonne University).

• Olivier Colliot participated, as thesis director, to the PhD committee of Pascal Lu (Sorbonne University).

• F. De Vico Fallani participated, as referee, to the PhD committee of Melodie Foullien (University of Lyon).

• F. De Vico Fallani participated, as examiner, to the PhD committee of Sebastien Campeon (Sorbonne University).

• S. Epelbaum participated, as thesis director, to the MD committee of Sinead Gaubert (AP-HP).

• S. Durrleman participated, as referee, to the PhD committee of Razwan Marinescu (University College London)

• S. Durrleman participated, as referee, to the PhD committee of Raphaël Sivera (Université Côte d'Azur)

• S. Durrleman participated, as thesis advisor, to the PhD committee of Maxime Louis (Sorbonne Université)

• S. Durrleman participated, as thesis advisor, to the PhD committee of Manon Ansart (Sorbonne Université)