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Dustin Scheinost

Showing results (1-10 of 242) with videos related to

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Medical 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 Scheinost
Cognitive Neuroscience|December 28, 2020
Big data approaches to identifying sex differences in long-term memoryLink Tejavibulya, Dustin Scheinost
Trends in Cognitive Sciences|April 6, 2024
Brain states as wave-like motifsMaya Foster, Dustin Scheinost
Biological Psychiatry Global Open Science|February 28, 2025
Embracing Model Heterogeneity for Better Brain-Behavior AssociationsDustin Scheinost, Marisa N Spann
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|August 8, 2024
Applying fetal, infant, and toddler (FIT) neuroimaging to understand mental healthMarisa N Spann, Dustin Scheinost
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|March 7, 2026
Using Fetal, Infant, and Toddler Neuroimaging to Understand Brain Changes After Prenatal Exposure to OpioidsDustin Scheinost, Marisa N Spann
Human 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 Scheinost
Arxiv|January 30, 2023
Gradient-based enhancement attacks in biomedical machine learningMatthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost
Proceedings. IEEE International Symposium on Biomedical Imaging|September 28, 2011
AN IMPROVED UNBIASED METHOD FOR DIFFSPECT QUANTIFICATION IN EPILEPSYDustin Scheinost, Hal Blumenfeld, Xenophon Papademetris
Neuroimage|December 20, 2019
Cluster failure or power failure? Evaluating sensitivity in cluster-level inferenceStephanie Noble, Dustin Scheinost, R Todd Constable
Pageof 25

Showing results (1-10 of 242) with videos related to

Sort By:
Pageof 25
Medical 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 Scheinost
Cognitive Neuroscience|December 28, 2020
Big data approaches to identifying sex differences in long-term memoryLink Tejavibulya, Dustin Scheinost
Trends in Cognitive Sciences|April 6, 2024
Brain states as wave-like motifsMaya Foster, Dustin Scheinost
Biological Psychiatry Global Open Science|February 28, 2025
Embracing Model Heterogeneity for Better Brain-Behavior AssociationsDustin Scheinost, Marisa N Spann
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|August 8, 2024
Applying fetal, infant, and toddler (FIT) neuroimaging to understand mental healthMarisa N Spann, Dustin Scheinost
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|March 7, 2026
Using Fetal, Infant, and Toddler Neuroimaging to Understand Brain Changes After Prenatal Exposure to OpioidsDustin Scheinost, Marisa N Spann
Human 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 Scheinost
Arxiv|January 30, 2023
Gradient-based enhancement attacks in biomedical machine learningMatthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost
Proceedings. IEEE International Symposium on Biomedical Imaging|September 28, 2011
AN IMPROVED UNBIASED METHOD FOR DIFFSPECT QUANTIFICATION IN EPILEPSYDustin Scheinost, Hal Blumenfeld, Xenophon Papademetris
Neuroimage|December 20, 2019
Cluster failure or power failure? Evaluating sensitivity in cluster-level inferenceStephanie Noble, Dustin Scheinost, R Todd Constable
Pageof 25