1 citations · 2 across the 6 of their papers we have counts for
6 papers
Longitudinal Prognosis of Parkinsons Outcomes using Causal Connectivity
Cooper J. Mellema, Kevin P. Nguyen, Alex Treacher +2
Parkinsons disease (PD) is a movement disorder and the second most common neurodengerative disease but despite its relative abundance, there are no clinically accepted neuroimaging…
Novel Machine Learning Approaches for Improving the Reproducibility and Reliability of Functional and Effective Connectivity from Functional MRI
Cooper J. Mellema, Albert Montillo
Objective: New measures of human brain connectivity are needed to address gaps in the existing measures and facilitate the study of brain function, cognitive capacity, and identify…
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder
Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen +1
Currently, the diagnosis of Autism Spectrum Disorder (ASD) is dependent upon a subjective, time-consuming evaluation of behavioral tests by an expert clinician. Non-invasive functi…
Improved motion correction for functional MRI using an omnibus regression model
Vyom Raval, Kevin P. Nguyen, Albert Montillo
Head motion during functional Magnetic Resonance Imaging acquisition can significantly contaminate the neural signal and introduce spurious, distance-dependent changes in signal co…
Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning
Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher +3
The application of deep learning to build accurate predictive models from functional neuroimaging data is often hindered by limited dataset sizes. Though data augmentation can help…
Reconfiguring motor circuits for a joint manual and BCI task
Benjamin Lansdell, Ivana Milovanovic, Cooper Mellema +3
Designing brain-computer interfaces (BCIs) that can be used in conjunction with ongoing motor behavior requires an understanding of how neural activity co-opted for brain control i…