Found: 31
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Interpreting models interpreting brain dynamics.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-15539-2
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- Article
Efficient federated learning for distributed neuroimaging data.
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- Frontiers in Neuroinformatics, 2024, p. 1, doi. 10.3389/fninf.2024.1430987
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- Article
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility.
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- Frontiers in Neuroinformatics, 2023, p. 1, doi. 10.3389/fninf.2023.1207721
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Causal Inference for Cross-Modal Action Selection: A Computational Study in a Decision Making Framework.
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- Frontiers in Computational Neuroscience, 2016, p. 1, doi. 10.3389/fncom.2016.00062
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- Article
Cortical Sensitivity to Guitar Note Patterns: EEG Entrainment to Repetition and Key.
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- Frontiers in Human Neuroscience, 2017, v. 11, p. 1, doi. 10.3389/fnhum.2017.00090
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- Article
Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi‐informed insights into schizophrenia.
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- Human Brain Mapping, 2023, v. 44, n. 17, p. 5828, doi. 10.1002/hbm.26479
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- Article
Statelets: Capturing recurrent transient variations in dynamic functional network connectivity.
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- Human Brain Mapping, 2022, v. 43, n. 8, p. 2503, doi. 10.1002/hbm.25799
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- Article
Privacy‐preserving quality control of neuroimaging datasets in federated environments.
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- Human Brain Mapping, 2022, v. 43, n. 7, p. 2289, doi. 10.1002/hbm.25788
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- Article
Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data.
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- Human Brain Mapping, 2022, v. 43, n. 4, p. 1280, doi. 10.1002/hbm.25720
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- Article
Decentralized dynamic functional network connectivity: State analysis in collaborative settings.
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- Human Brain Mapping, 2020, v. 41, n. 11, p. 2909, doi. 10.1002/hbm.24986
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- Article
Amalgamating evidence of dynamics.
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- Synthese, 2019, v. 196, n. 8, p. 3213, doi. 10.1007/s11229-017-1568-8
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- Article
Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence.
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- PLoS ONE, 2013, v. 8, n. 8, p. 1, doi. 10.1371/journal.pone.0073309
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- Article
Revisiting Functional Dysconnectivity: a Review of Three Model Frameworks in Schizophrenia.
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- Current Neurology & Neuroscience Reports, 2023, v. 23, n. 12, p. 937, doi. 10.1007/s11910-023-01325-8
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- Article
High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington’s Disease.
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- Brain Sciences (2076-3425), 2018, v. 8, n. 7, p. 116, doi. 10.3390/brainsci8070116
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- Article
Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence.
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- JAMA Neurology, 2023, v. 80, n. 8, p. 805, doi. 10.1001/jamaneurol.2023.1645
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COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data.
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- Frontiers in Neuroscience, 2016, p. 1, doi. 10.3389/fnins.2016.00365
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Group-level component analyses of EEG: validation and evaluation.
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- Frontiers in Neuroscience, 2015, p. 1, doi. 10.3389/fnins.2015.00254
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Deep learning for neuroimaging: a validation study.
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- Frontiers in Neuroscience, 2014, p. 1, doi. 10.3389/fnins.2014.00229
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A Deep Learning Model for Data-Driven Discovery of Functional Connectivity.
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- Algorithms, 2021, v. 14, n. 3, p. 75, doi. 10.3390/a14030075
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Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity.
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- Frontiers in Neuroinformatics, 2018, p. N.PAG, doi. 10.3389/fninf.2018.00055
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Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging.
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- Frontiers in Neuroinformatics, 2016, v. 10, p. 1, doi. 10.3389/fninf.2016.00049
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A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI data.
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- Frontiers in Neuroscience, 2023, p. 1, doi. 10.3389/fnins.2023.1159914
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A deep learning approach for mental health quality prediction using functional network connectivity and assessment data.
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- Brain Imaging & Behavior, 2024, v. 18, n. 3, p. 630, doi. 10.1007/s11682-024-00857-y
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- Article
Tracking Whole-Brain Connectivity Dynamics in the Resting State.
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- Cerebral Cortex, 2014, v. 24, n. 3, p. 663, doi. 10.1093/cercor/bhs352
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The influence of visuospatial attention on unattended auditory 40 Hz responses.
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- Frontiers in Human Neuroscience, 2013, v. 7, p. 1, doi. 10.3389/fnhum.2013.00370
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Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks.
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- Frontiers in Neuroscience, 2018, p. N.PAG, doi. 10.3389/fnins.2018.00600
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- Article
Relationships between alpha oscillations during speech preparation and the listener N400 ERP to the produced speech.
- Published in:
- Scientific Reports, 2018, v. 8, n. 1, p. 1, doi. 10.1038/s41598-018-31038-9
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- Article
Patterns of co-Occurring gray Matter concentration loss across the huntington Disease Prodrome.
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- Frontiers in Neurology, 2016, p. 1, doi. 10.3389/fneur.2016.00147
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Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning.
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- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-020-20655-6
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A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets.
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- Frontiers in Neuroinformatics, 2016, p. 1, doi. 10.3389/fninf.2016.00009
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Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation.
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- Frontiers in Neuroinformatics, 2014, p. 1, doi. 10.3389/fninf.2014.00035
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- Article