174 citations · 370 across the 8 of their papers we have counts for
8 papers
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
Vishnu M. Bashyam, Jimit Doshi, Guray Erus +24
Conventional and deep learning-based methods have shown great potential in the medical imaging domain, as means for deriving diagnostic, prognostic, and predictive biomarkers, and…
Network controllability in transmodal cortex predicts psychosis spectrum symptoms
Linden Parkes, Tyler M. Moore, Monica E. Calkins +7
The psychosis spectrum is associated with structural dysconnectivity concentrated in transmodal association cortex. However, understanding of this pathophysiology has been limited…
The human brain's network architecture is genetically encoded by modular pleiotropy
Maxwell A. Bertolero, Ann Sizemore Blevins, Graham L. Baum +5
For much of biology, the manner in which genotype maps to phenotype remains a fundamental mystery. The few maps that are known tend to show modular pleiotropy: sets of phenotypes a…
Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
Simon N. Vandekar, Theodore D. Satterthwaite, Cedric H. Xia +4
Spatial extent inference (SEI) is widely used across neuroimaging modalities to study brain-phenotype associations that inform our understanding of disease. Recent studies have sho…
Influence of Neighborhood SES on Functional Brain Network Development
Ursula A. Tooley, Allyson P. Mackey, Rastko Ciric +6
Higher socioeconomic status (SES) in childhood is associated with increased cognitive abilities, higher academic achievement, and decreased incidence of mental illness later in dev…
Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth
Graham L. Baum, Rastko Ciric, David R. Roalf +12
The human brain is organized into large-scale functional modules that have been shown to evolve in childhood and adolescence. However, it remains unknown whether structural brain n…
Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity
Rastko Ciric, Daniel H. Wolf, Jonathan D. Power +11
Since initial reports regarding the impact of motion artifact on measures of functional connectivity, there has been a proliferation of confound regression methods to limit its imp…
Developmental increases in white matter network controllability support a growing diversity of brain dynamics
Evelyn Tang, Chad Giusti, Graham Baum +10
As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well u…