3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2022
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models
Ahmed El-Gazzar, Rajat Mani Thomas, Guido Van Wingen
Single-subject mapping of resting-state brain functional activity to non-imaging phenotypes is a major goal of neuroimaging. The large majority of learning approaches applied today…
cs.LG2022★ 3 cited
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models
Ahmed El Gazzar, Rajat Mani Thomas, Guido Van Wingen
Single subject prediction of brain disorders from neuroimaging data has gained increasing attention in recent years. Yet, for some heterogeneous disorders such as major depression…