Supplement: Multicenter validated detection of focal cortical dysplasia using deep learning

Ravnoor S Gill, Hyo M Lee, Benoit Caldairou, Seok-Jun Hong, Carmen Barba, Francesco Deleo, Ludovico D’Incerti, Vanessa C Mendes Coelho, Matteo Lenge, Mira Semmelroch, Dewi Schrader, Fabrice Bartolomei, Maxime Guye, Andreas Schulze-Bonhage, Horst Urbach, Kyoo Ho Cho, Fernando Cendes, Renzo Guerrini, Graeme Jackson, R Edward Hogan, Neda Bernasconi & Andrea Bernasconi
Objective. To test the hypothesis that a multicenter-validated computer deep learning algorithm detects MRI-negative focal cortical dysplasia (FCD). Methods. We used clinically acquired 3D T1-weighted and 3D FLAIR MRI of 148 patients (median age, 23 years [range, 2-55]; 47% female) with histologically verified FCD at nine centers to train a deep convolutional neural network (CNN) classifier. Images were initially deemed as MRI-negative in 51% of cases, in whom intracranial EEG determined the focus. For risk...
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