Brent C. Munsell

According to our database1, Brent C. Munsell authored at least 23 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Personalized connectome fingerprints: Their importance in cognition from childhood to adult years.
NeuroImage, 2020

2019
White matter connectomes at birth accurately predict cognitive abilities at age 2.
NeuroImage, 2019

2018
Editorial: Deep Mining Big Social Data.
World Wide Web, 2018

GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion.
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".
IEEE Trans. Biomed. Eng., 2017

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.
Medical Image Anal., 2017

A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

Identifying Subnetwork Fingerprints in Structural Connectomes: A Data-Driven Approach.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

2016
Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, 2016

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.
IEEE Trans. Biomed. Eng., 2016

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Domain Transfer Learning for MCI Conversion Prediction.
IEEE Trans. Biomed. Eng., 2015

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
NeuroImage, 2015

Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.
NeuroImage, 2015

Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2012
Pre-organizing Shape Instances for Landmark-Based Shape Correspondence.
Int. J. Comput. Vis., 2012

Person Identification Using Full-Body Motion and Anthropometric Biometrics from Kinect Videos.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2010
Two perceptually motivated strategies for shape classification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Fast multiple shape correspondence by pre-organizing shape instances.
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.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

2007
A New Benchmark for Shape Correspondence Evaluation.
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.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


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