9 citations · 10 across the 3 of their papers we have counts for
4 papers
Reliability and predictability of phenotype information from functional connectivity in large imaging datasets
Jessica Dafflon, Dustin Moraczewski, Eric Earl +5
One of the central objectives of contemporary neuroimaging research is to create predictive models that can disentangle the connection between patterns of functional connectivity a…
The positive-negative mode link between brain connectivity, demographics, and behavior: A pre-registered replication of Smith et al. 2015
Nikhil Goyal1, Dustin Moraczewski, Peter A. Bandettini +2
In mental health research, it has proven difficult to find measures of brain function that provide reliable indicators of mental health and well-being, including susceptibility to…
Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial Robustness
Patrick McClure, Dustin Moraczewski, Ka Chun Lam +2
Deep neural networks (DNNs) are being increasingly used to make predictions from functional magnetic resonance imaging (fMRI) data. However, they are widely seen as uninterpretable…
Deep Neural Networks Carve the Brain at its Joints
Maxwell A. Bertolero, Dustin Moraczewski, Adam Thomas +1
How an individual's unique brain connectivity determines that individual's cognition, behavior, and risk for pathology is a fundamental question in basic and clinical neuroscience.…