Area of research
Genetics · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Magnetic resonance imaging and Amygdala, with related work in Modified Rankin Scale, Expanded Disability Status Scale, Fluid-attenuated inversion recovery. Notable publications include 'Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI', 'EEG analysis in anti-NMDA receptor encephalitis: Description of typical patterns', and 'New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions'.
Endovascular Therapy or Medical Management Alone for Isolated Posterior Cerebral Artery Occlusion: A Multicenter Study
Cerebral perfusion using ASL in patients with COVID-19 and neurological manifestations: A retrospective multicenter observational study
Perfusion Imaging and Clinical Outcome in Acute Minor Stroke With Large Vessel Occlusion
Diabetes Mellitus and Cognition
Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI
New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions
Consensus Guidelines of the French Society of Neuroradiology (SFNR) on the use of Gadolinium-Based Contrast agents (GBCAs) and related MRI protocols in Neuroradiology
EEG analysis in anti-NMDA receptor encephalitis: Description of typical patterns
Impaired cortico-limbic functional connectivity in schizophrenia patients during emotion processing
Childhood trauma and emotional processing circuits in schizophrenia: A functional connectivity study
Anti-N-methyl-d-aspartate receptor encephalitis after Herpes simplex virus-associated encephalitis: an emerging disease with diagnosis and therapeutic challenges