Brent C. Munsell

University of North Carolina at Chapel Hill — United States

Neuroscience · Life Sciences

21h-index3.1kcitations58works0.02yr avg
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Research Topics

Functional Brain Connectivity Studies(16), Advanced Neuroimaging Techniques and Applications(12), Image Retrieval and Classification Techniques(10), Medical Image Segmentation Techniques(9), EEG and Brain-Computer Interfaces(7)

Publications58 total

Correction to “Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning” [Jul 16 1505-1516]
UNC Libraries·2025Open Access
Semantic Categorization of Naming Responses Based on Prearticulatory Electrical Brain Activity
UNC Libraries·2025Open Access
Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study
UNC Libraries·2025Open Access
Radiological identification of temporal lobe epilepsy using artificial intelligence: a feasibility study
UNC Libraries·2025Open Access
Seizure forecasting using machine learning models trained by seizure diaries
UNC Libraries·2025Open Access
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning
UNC Libraries·2024Open Access
Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning
UNC Libraries·2024Open Access
Seizure forecasting using machine learning models trained by seizure diaries
Physiological Measurement·2022· 13 citedOpen Access
Semantic Categorization of Naming Responses Based on Prearticulatory Electrical Brain Activity
Journal of Clinical Neurophysiology·2022Open Access
Radiological identification of temporal lobe epilepsy using artificial intelligence: a feasibility study
Brain Communications·2021· 15 citedOpen Access
The White Matter Connectome as an Early Imaging Biomarker
Biological Psychiatry·2021· 1 cited
Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study
NeuroImage Clinical·2021· 71 citedOpen Access
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition
UNC Libraries·2020· 1 citedOpen Access
Hierarchical and symmetric infant image registration by robust longitudinal-example-guided correspondence detection: Hierarchical and symmetric infant image registration
UNC Libraries·2020Open Access
Domain Transfer Learning for MCI Conversion Prediction
UNC Libraries·2020· 8 citedOpen Access
Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study
Annals of Neurology·2020· 115 citedOpen Access
The <scp>ENIGMA‐Epilepsy</scp> working group: Mapping disease from large data sets
Human Brain Mapping·2020· 73 citedOpen Access
Early brain development in infants at high risk for autism spectrum disorder
UNC Libraries·2020· 1 citedOpen Access
Detecting Anatomical Landmarks for Fast Alzheimer’s Disease Diagnosis
UNC Libraries·2020· 13 citedOpen Access
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning
Carolina Digital Repository (University of North Carolina at Chapel Hill)·2020· 21 citedOpen Access
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Frequent Co-authors

Guorong Wu(19), Dinggang Shen(15), Leonardo Bonilha(13), Minjeong Kim(9), Martin Styner(8), Song Wang(8), Yue Gao(6), Simon S. Keller(6), Bernd Weber(6), Ezequiel Gleichgerrcht(6), Carrie R. McDonald(6), Qian Wang(5), Daoqiang Zhang(5), Ruben Kuzniecky(5), Andrew Temlyakov(4), Yingying Zhu(4), Chen Zu(4), Chris Rorden(3), Daniel L. Drane(3), Gerard Sanromà(3)