Brent C. Munsell - Concepedia

Author

Brent C. Munsell

University of North Carolina at Chapel Hill

Also Known As

B Munsell, B.C. Munsell, Bonilha, Leonardo, Brent C Munsell, Brent C. Munsell, Brent Munsell, Cheng, Bo, Gao, Yue, Hongbin Gu, Kuzniecky, Ruben

Publications

3.1K

Citations

H-Index

Concepts

All Affiliations

University of North Carolina at Chapel Hill College of Charleston Medical University of South Carolina University of South Carolina Korea University

About

Brent C. Munsell is an author at University of North Carolina at Chapel Hill specializing in engineering, neuroscience, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	878
2	Medicine	7	7	496
3	Natural Sciences	4	4	108
4	Health Sciences	2	2	298
5	Arts	1	1	21

Brent C. Munsell

Publications

1.7K

Citations

H-Index

Page 1

	Year	Citations
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning Guorong Wu, Minjeong Kim, Qian Wang, IEEE Transactions on Biomedical Engineering Convolutional Neural NetworkEngineeringMachine LearningFeature SelectionImaging Modalities	2015	277
Detecting Anatomical Landmarks for Fast Alzheimer’s Disease Diagnosis Jun Zhang, Yue Gao, Yaozong Gao, IEEE Transactions on Medical Imaging	2016	215
Domain Transfer Learning for MCI Conversion Prediction Bo Cheng, Mingxia Liu, Daoqiang Zhang, IEEE Transactions on Biomedical Engineering Mci Conversion PredictionEngineeringMachine LearningMci ConvertersAlzheimer's Disease	2015	184
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data Brent C. Munsell, Chong Yaw Wee, Simon S. Keller, NeuroImage Neuroimaging BiomarkersEngineeringMachine LearningData ScienceMachine Learning Algorithms	2015	163
Deep learning applied to whole‐brain connectome to determine seizure control after epilepsy surgery Ezequiel Gleichgerrcht, Brent C. Munsell, Sonal Bhatia, Epilepsia	2018	119
Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study Ezequiel Gleichgerrcht, Simon S. Keller, Daniel L. Drane, Annals of Neurology	2020	114
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition Guorong Wu, Minjeong Kim, Gerard Sanromà, NeuroImage Image AnalysisEngineeringData SciencePattern RecognitionMulti-scale Feature Representation	2014	93
Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study Ezequiel Gleichgerrcht, Brent C. Munsell, Saud Alhusaini, NeuroImage Clinical	2021	71
White matter connectomes at birth accurately predict cognitive abilities at age 2 Jessica B. Girault, Brent C. Munsell, Danaële Puechmaille, NeuroImage Neuropsychological FunctioningCognitive ScienceBrain FunctionDevelopmental Cognitive NeurosciencePredict Cognitive Abilities	2019	69
Two perceptually motivated strategies for shape classification Andrew Temlyakov, Brent C. Munsell, Jarrell Waggoner,	2010	61

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