2 papers
q-bio.NC2025
Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
Aurore Bussalb, François Le Gac, Guillaume Jubien +12
Electroencephalography (EEG) is commonly used by physicians for the diagnosis of numerous neurological disorders. Due to the large volume of EEGs requiring interpretation and the s…
q-bio.QM2025
BioSerenity-E1: a self-supervised EEG model for medical applications
Ruggero G. Bettinardi, Mohamed Rahmouni, Ulysse Gimenez
Electroencephalography (EEG) serves as an essential diagnostic tool in neurology; however, its accurate manual interpretation is a time-intensive process that demands highly specia…