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Trends in Cognitive Sciences|April 6, 2024
Brain states as wave-like motifsMaya Foster, Dustin ScheinostMedical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 19, 2021
The Constrained Network-Based Statistic: A New Level of Inference for NeuroimagingStephanie Noble, Dustin ScheinostCognitive Neuroscience|December 28, 2020
Big data approaches to identifying sex differences in long-term memoryLink Tejavibulya, Dustin ScheinostHuman Brain Mapping|June 29, 2021
Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low-dimensional space of brain dynamicsSiyuan Gao, Gal Mishne, Dustin ScheinostArxiv|January 30, 2023
Gradient-based enhancement attacks in biomedical machine learningMatthew Rosenblatt, Javid Dadashkarimi, Dustin ScheinostProceedings. IEEE International Symposium on Biomedical Imaging|September 28, 2011
AN IMPROVED UNBIASED METHOD FOR DIFFSPECT QUANTIFICATION IN EPILEPSYDustin Scheinost, Hal Blumenfeld, Xenophon PapademetrisScience Advances|April 2, 2025
The inflammatory and genetic mechanisms underlying the cumulative effect of co-occurring pain conditions on depressionRongtao Jiang, Paul Geha, Matthew Rosenblatt, et al.Neuroimage|December 20, 2019
Cluster failure or power failure? Evaluating sensitivity in cluster-level inferenceStephanie Noble, Dustin Scheinost, R Todd ConstableBiological Psychiatry. Cognitive Neuroscience and Neuroimaging|January 15, 2020
Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging ResearchSarah W Yip, Brian Kiluk, Dustin ScheinostNeuroimage|September 9, 2019
A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysisStephanie Noble, Dustin Scheinost, R Todd ConstablePageof 25