Articles with public access mandates - Dustin ScheinostLearn more
Not available anywhere: 13
Poincaré embedding reveals edge-based functional networks of the brain
S Gao, G Mishne, D Scheinost
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Mandates: US National Institutes of Health
Data poisoning attack and defenses in Connectome-Based predictive models
M Rosenblatt, D Scheinost
Workshop on the Ethical and Philosophical Issues in Medical Imaging, 3-13, 2022
Mandates: US National Institutes of Health, Wellcome Trust
A hierarchical manifold learning framework for high-dimensional neuroimaging data
S Gao, G Mishne, D Scheinost
Information Processing in Medical Imaging: 26th International Conference …, 2019
Mandates: US National Science Foundation, US National Institutes of Health
The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference
W Dai, S Noble, D Scheinost
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Mandates: US National Institutes of Health
Transforming Connectomes to “Any” Parcellation via Graph Matching
Q Liang, J Dadashkarimi, W Dai, A Karbasi, J Chang, HH Zhou, ...
MICCAI Workshop on Imaging Systems for GI Endoscopy, 118-127, 2022
Mandates: US National Institutes of Health
Connectome-based predictive modelling with missing connectivity data using robust matrix completion
Q Liang, S Negahban, J Chang, HH Zhou, D Scheinost
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 738-742, 2021
Mandates: US National Institutes of Health
6. Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task-Switching Revealed by Overlapping Brain States
J Ye, H Sun, S Gao, J Dadashkarimi, M Rosenblatt, R Rodriguez, S Mehta, ...
Biological Psychiatry 93 (9), S71, 2023
Mandates: US National Science Foundation, US National Institutes of Health
A Multimodal Imaging Approach to Identify Brain Connectivity Targets for Early Detection, and to Reduce Symptoms and Prevent Progression and Suicide Risk, in Bipolar Disorder
D Goldman, A Sankar, L Colic, LM Villa, JA Kim, B Pittman, RT Constable, ...
Biological Psychiatry 91 (9), S38-S39, 2022
Mandates: US National Institutes of Health
Disruption in Large-Scale Brain Networks is Linked to Maladaptive Childhood Aggression
K Ibrahim, G McCarthy, D Scheinost, D Sukhodolsky
Biological Psychiatry 91 (9), S87, 2022
Mandates: US National Institutes of Health
A Graph Theoretical Connectome Measure to Assess Whole Brain Functional Connectivity Disturbances Associated With Suicide Attempts in Bipolar Disorder
A Sankar, D Scheinost, D Goldman, R Drachman, L Colic, LM Villa, ...
Biological Psychiatry 89 (9), S296, 2021
Mandates: US National Institutes of Health
Individual Differences in the Functional Organization of Infants
D Scheinost, M Salehi, RT Constable, M Spann
Biological Psychiatry 89 (9), S78, 2021
Mandates: US National Institutes of Health
Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis
S Gao, X Shen, R Todd Constable, D Scheinost
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Mandates: US National Institutes of Health
80. Continuous and Categorical Prediction of Cocaine Treatment Outcomes
S Yip, D Scheinost, M Potenza, K Carroll
Biological Psychiatry 83 (9), S33, 2018
Mandates: US National Institutes of Health
Available somewhere: 184
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
ES Finn, X Shen, D Scheinost, MD Rosenberg, J Huang, MM Chun, ...
Nature neuroscience 18 (11), 1664-1671, 2015
Mandates: US National Institutes of Health
A neuromarker of sustained attention from whole-brain functional connectivity
MD Rosenberg, ES Finn, D Scheinost, X Papademetris, X Shen, ...
Nature neuroscience 19 (1), 165-171, 2016
Mandates: US National Science Foundation, US National Institutes of Health, National …
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
X Shen, ES Finn, D Scheinost, MD Rosenberg, MM Chun, ...
nature protocols 12 (3), 506-518, 2017
Mandates: US National Science Foundation, US National Institutes of Health
A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis
S Noble, D Scheinost, RT Constable
Neuroimage 203, 116157, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Braingnn: Interpretable brain graph neural network for fmri analysis
X Li, Y Zhou, N Dvornek, M Zhang, S Gao, J Zhuang, D Scheinost, ...
Medical Image Analysis 74, 102233, 2021
Mandates: US National Institutes of Health
Task-induced brain state manipulation improves prediction of individual traits
AS Greene, S Gao, D Scheinost, RT Constable
Nature communications 9 (1), 2807, 2018
Mandates: US National Institutes of Health
Lower synaptic density is associated with depression severity and network alterations
SE Holmes, D Scheinost, SJ Finnema, M Naganawa, MT Davis, ...
Nature communications 10 (1), 1529, 2019
Mandates: US National Institutes of Health, US Department of Veterans Affairs
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