Dustin Scheinost
Orcid: 0000-0002-6301-1167
According to our database1,
Dustin Scheinost
authored at least 70 papers
between 2008 and 2023.
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Bibliography
2023
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available.
Medical Image Anal., August, 2023
Connectome-based machine learning models are vulnerable to subtle data manipulations.
Patterns, July, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023
2022
Neuroinformatics, 2022
A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome.
NeuroImage, 2022
Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity.
NeuroImage, 2022
Leveraging edge-centric networks complements existing network-level inference for functional connectomes.
NeuroImage, 2022
Arousal impacts distributed hubs modulating the integration of brain functional connectivity.
NeuroImage, 2022
Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth.
J. Cogn. Neurosci., 2022
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Combining Multiple Atlases to Estimate Data-Driven Mappings Between Functional Connectomes Using Optimal Transport.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Resample aggregating improves the generalizability of connectome predictive modeling.
NeuroImage, 2021
Medical Image Anal., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Connectome-Based Predictive Modelling With Missing Connectivity Data Using Robust Matrix Completion.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
NeuroImage, 2020
NeuroImage, 2020
There is no single functional atlas even for a single individual: Functional parcel definitions change with task.
NeuroImage, 2020
NeuroImage, 2020
Functional brain connectivity in ex utero premature infants compared to in utero fetuses.
NeuroImage, 2020
Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals.
J. Cogn. Neurosci., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors.
NeuroImage, 2019
NeuroImage, 2019
A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis.
NeuroImage, 2019
NeuroImage, 2019
NeuroImage, 2019
Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies.
NeuroImage, 2019
Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
2018
Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.
NeuroImage, 2018
An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks.
NeuroImage, 2018
Considering factors affecting the connectome-based identification process: Comment on Waller et al.
NeuroImage, 2018
Connectome-based Models Predict Separable Components of Attention in Novel Individuals.
J. Cogn. Neurosci., 2018
Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A fetal fMRI specific motion correction algorithm using 2<sup>nd</sup> order edge features.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks.
NeuroImage, 2017
Can brain state be manipulated to emphasize individual differences in functional connectivity?
NeuroImage, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks.
IEEE Trans. Biomed. Eng., 2016
2015
Adaptive mechanisms of developing brain: Cerebral lateralization in the prematurely-born.
NeuroImage, 2015
NeuroImage, 2015
2014
The impact of image smoothness on intrinsic functional connectivity and head motion confounds.
NeuroImage, 2014
2013
A Graphics Processing Unit Accelerated Motion Correction Algorithm and Modular System for Real-time fMRI.
Neuroinformatics, 2013
Real-time fMRI links subjective experience with brain activity during focused attention.
NeuroImage, 2013
NeuroImage, 2013
Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013
2012
The intrinsic connectivity distribution: A novel contrast measure reflecting voxel level functional connectivity.
NeuroImage, 2012
2011
Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms.
Neuroinformatics, 2011
NeuroImage, 2011
Medical Image Anal., 2011
Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions.
Brain Connect., 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
NeuroImage, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
IEEE Trans. Vis. Comput. Graph., 2008