Computational modeling of neurological diseases from multimodal patient data

Development of neuroimaging biomarkers and decision support systems

Disease progression modeling with longitudinal data in neurodegenerative disorders

Analysis of large-scale multimodal data (imaging, omics, clinical, environmental)

Computational pathology and high-content microscopy

Main techniques

Artificial intelligence and machine learning (including deep learning)

Advanced statistical and mathematical modeling

Medical imaging (MRI, PET) and biomarker extraction

Longitudinal data analysis and disease progression modeling

Multimodal and high-dimensional data integration (imaging, genetics, transcriptomics, clinical data, hospital data warehouses)

Computational pathology (histopathology, high-content microscopy)

Address :
Hôpital Pitié-Salpêtrière 47 bd de l’Hôpital 75013 Paris

Team leader :
COLLIOT Olivier
Name of co-team leader :
BURGOS Ninon
Administrative Contact Name :


Website : Cliquez ici
Key words : #Neuroimagerie# apprentissage automatique# intelligence artificielle# données multimodales,#maladies neurodégénératives# progression de la maladie# biomarqueurs# données longitudinales# omiques# pathologie computationnelle #Neuroimaging# machine learning# artificial intelligence# multimodal data# neurodegenerative diseases# disease progression# biomarkers# longitudinal data# omics# computational pathology