Brent C. Munsell

According to our database, Brent C. Munsell authored at least 23 papers between 2007 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Personalized connectome fingerprints: Their importance in cognition from childhood to adult years.

Brent C. Munsell, Ezequiel Gleichgerrcht, Eric Hofesmann, John Delgaizo, Carrie R. McDonald, Barbara Marebwa, Martin A. Styner, Julius Fridriksson, Christopher Rorden, Niels K. Focke, John H. Gilmore, Leonardo Bonilha

NeuroImage, 2020

2019

White matter connectomes at birth accurately predict cognitive abilities at age 2.

Jessica B. Girault, Brent C. Munsell, Danaële Puechmaille, Barbara Davis Goldman, Juan-Carlos Prieto, Martin Styner, John H. Gilmore

NeuroImage, 2019

2018

Editorial: Deep Mining Big Social Data.

Xiaofeng Zhu, Gerard Sanroma, Jilian Zhang, Brent C. Munsell

World Wide Web, 2018

GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion.

Guorong Wu, Brent C. Munsell, Paul J. Laurienti, Moo K. Chung

Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

2017

Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning".

Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen

IEEE Trans. Biomed. Eng., 2017

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.

Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu

Medical Image Anal., 2017

A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts.

Lucas Leandro Nesi, Chris Rorden, Brent C. Munsell

Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

Identifying Subnetwork Fingerprints in Structural Connectomes: A Data-Driven Approach.

Brent C. Munsell, Eric Hofesmann, John Delgaizo, Martin Styner, Leonardo Bonilha

Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

2016

Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis.

Jun Zhang, Yue Gao, Yaozong Gao, Brent C. Munsell, Dinggang Shen

IEEE Trans. Medical Imaging, 2016

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.

Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen

IEEE Trans. Biomed. Eng., 2016

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.

Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method.

Brent C. Munsell, Guorong Wu, Yue Gao, Nicholas Desisto, Martin Styner

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Domain Transfer Learning for MCI Conversion Prediction.

Bo Cheng, Mingxia Liu, Daoqiang Zhang, Brent C. Munsell, Dinggang Shen

IEEE Trans. Biomed. Eng., 2015

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.

Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent C. Munsell, Dinggang Shen

NeuroImage, 2015

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, Bernd Weber, Christian Erich Elger, Laura Angelica Tomaz da Silva, Travis Nesland, Martin Styner, Dinggang Shen, Leonardo Bonilha

NeuroImage, 2015

Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data.

Davy Vanderweyen, Brent C. Munsell, Jacobo E. Mintzer, Olga Mintzer, Andy Gajadhar, Xun Zhu, Guorong Wu, Jane E. Joseph

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2012

Pre-organizing Shape Instances for Landmark-Based Shape Correspondence.

Brent C. Munsell, Andrew Temlyakov, Martin Styner, Song Wang

Int. J. Comput. Vis., 2012

Person Identification Using Full-Body Motion and Anthropometric Biometrics from Kinect Videos.

Brent C. Munsell, Andrew Temlyakov, Chengzheng Qu, Song Wang

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2010

Two perceptually motivated strategies for shape classification.

Andrew Temlyakov, Brent C. Munsell, Jarrell W. Waggoner, Song Wang

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Fast multiple shape correspondence by pre-organizing shape instances.

Brent C. Munsell, Andrew Temlyakov, Song Wang

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study.

Brent C. Munsell, Pahal Dalal, Song Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2008

2007

A New Benchmark for Shape Correspondence Evaluation.

Brent C. Munsell, Pahal Dalal, Song Wang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

A Fast 3D Correspondence Method for Statistical Shape Modeling.

Pahal Dalal, Brent C. Munsell, Song Wang, Jijun Tang, Kenton Oliver, Hiroaki Ninomiya, Xiangrong Zhou, Hiroshi Fujita

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007