Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion.
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Neuroinformatics, April, 2025
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query.
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Frontiers Neuroinformatics, March, 2023
A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia.
IEEE J. Biomed. Health Informatics, 2023
ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability.
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Neuroinformatics, 2022
Building Models of Functional Interactions Among Brain Domains that Encode Varying Information Complexity: A Schizophrenia Case Study.
Neuroinformatics, 2022
Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping.
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NeuroImage, 2022
Tri-Clustering Dynamic Functional Network Connectivity Identifies Significant Schizophrenia Effects Across Multiple States in Distinct Subgroups of Individuals.
Brain Connect., 2022
Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales.
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Brain Connect., 2022
NIDM-Experiment: An Ontology for Annotating Neuroscientific Data.
Proceedings of the International Conference on Biomedical Ontology 2022 (ICBO), Ann Arbor, Michigan, USA, September 25, 2022
N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia.
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IEEE Trans. Biomed. Eng., 2020
A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study.
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NeuroImage, 2019
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.
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IEEE Trans. Medical Imaging, 2018
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models.
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Proceedings of the Shape in Medical Imaging, 2018
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging.
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Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Heritability and reliability of automatically segmented human hippocampal formation subregions.
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NeuroImage, 2016
Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.
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Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Reliability of functional magnetic resonance imaging activation during working memory in a multi-site study: Analysis from the North American Prodrome Longitudinal Study.
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NeuroImage, 2014
Towards structured sharing of raw and derived neuroimaging data across existing resources.
NeuroImage, 2013
Towards structured sharing of raw and derived neuroimaging data across existing resources
CoRR, 2012
A System Architecture for Sharing De-Identified, Research-Ready Brain Scans and Health Information Across Clinical Imaging Centers.
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Proceedings of the HealthGrid Applications and Technologies Meet Science Gateways for Life Sciences, 2012
Infrastructure for sharing standardized clinical brain scans across hospitals.
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Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Mapping heritability and molecular genetic associations with cortical features using probabilistic brain atlases - Methods and applications to schizophrenia.
Neuroinformatics, 2006
Hippocampal activations during encoding and retrieval in a verbal working memory paradigm.
NeuroImage, 2005
Genetic Influences on Human Brain Morphology.
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Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Maintenance and Manipulation in Spatial Working Memory: Dissociations in the Prefrontal Cortex.
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NeuroImage, 2002