4 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder
Joseph Stember, Danielle Stember, Luca Pasquini +3
Purpose : Because functional MRI (fMRI) data sets are in general small, we sought a data efficient approach to resting state fMRI classification of autism spectrum disorder (ASD) v…
Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory
Qiongge Li, Luca Pasquini, Gino Del Ferraro +4
Pre-surgical language mapping with functional magnetic resonance imaging (fMRI) is routinely conducted to assist the neurosurgeon in preventing damage to brain regions responsible…
Core language brain network for fMRI-language task used in clinical applications
Qiongge Li, Gino Del Ferraro, Luca Pasquini +3
Functional magnetic resonance imaging (fMRI) is widely used in clinical applications to highlight brain areas involved in specific cognitive processes. Brain impairments, such as t…