2 papers
cs.CV2020
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
Ahmed El-Gazzar, Mirjam Quaak, Leonardo Cerliani +3
Functional Magnetic Resonance Imaging (fMRI) captures the temporal dynamics of neural activity as a function of spatial location in the brain. Thus, fMRI scans are represented as 4…
q-bio.NC2019
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism
Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen +1
Deep learning methods are increasingly being used with neuroimaging data like structural and function magnetic resonance imaging (MRI) to predict the diagnosis of neuropsychiatric…