Brent C. Munsell

发表

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

Dinggang Shen, Qian Wang, Guorong Wu, 2017, IEEE Trans. Biomed. Eng..

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

Moo K. Chung, Guorong Wu, Brent C. Munsell, 2018, CNI@MICCAI.

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

Martin Styner, Yue Gao, Guorong Wu, 2016, MICCAI.

Editorial: Deep Mining Big Social Data

Xiaofeng Zhu, Jilian Zhang, Gerard Sanroma, 2018, World Wide Web.

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

Dinggang Shen, Qian Wang, Guorong Wu, 2016, IEEE Transactions on Biomedical Engineering.

Detecting Anatomical Landmarks for Fast Alzheimer’s Disease Diagnosis

Yaozong Gao, Dinggang Shen, Yue Gao, 2016, IEEE Transactions on Medical Imaging.

A New Benchmark for Shape Correspondence Evaluation

Song Wang, Brent C. Munsell, Pahal Dalal, 2007, MICCAI.

Two perceptually motivated strategies for shape classification

Song Wang, Brent C. Munsell, Jarrell W. Waggoner, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

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

Martin Styner, Brent C. Munsell, Leonardo Bonilha, 2017, CNI@MICCAI.

Patch-Based Techniques in Medical Imaging

Daniel Rueckert, Pierrick Coupé, Yiqiang Zhan, 2016, Lecture Notes in Computer Science.

Patch-Based Techniques in Medical Imaging

Pierrick Coupé, Guorong Wu, Wenjia Bai, 2018, Lecture Notes in Computer Science.

Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study

Song Wang, Brent C. Munsell, Pahal Dalal, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Chris Rorden, Julius Fridriksson, Niels K. Focke, 2020, NeuroImage.

Fast multiple shape correspondence by pre-organizing shape instances

Song Wang, Brent C. Munsell, Andrew Temlyakov, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

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

Jane E. Joseph, Xun Zhu, Guorong Wu, 2015, MLMI.

A Fast 3D Correspondence Method for Statistical Shape Modeling

Xiangrong Zhou, Hiroshi Fujita, Jijun Tang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Patch-Based Techniques in Medical Imaging

Daniel Rueckert, Pierrick Coupé, Guorong Wu, 2015, Lecture Notes in Computer Science.

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

Song Wang, Brent C. Munsell, Andrew Temlyakov, 2012, ECCV Workshops.

Pre-organizing Shape Instances for Landmark-Based Shape Correspondence

Martin Styner, Song Wang, Brent C. Munsell, 2011, International Journal of Computer Vision.

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph

Daoqiang Zhang, Dinggang Shen, Yue Gao, 2016, MLMI@MICCAI.

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

Feiping Nie, Xiaofeng Zhu, Ehsan Adeli, 2017, Medical Image Anal..

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

Chris Rorden, Brent C. Munsell, Lucas L. Nesi, 2017, CNI@MICCAI.

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

Dinggang Shen, Martin Styner, Chong-Yaw Wee, 2015, NeuroImage.

Fast multiple shape correspondence by pre-organizing shape instances

Song Wang, Brent C. Munsell, Andrew Temlyakov, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

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

Martin Styner, John H. Gilmore, Juan-Carlos Prieto, 2019, NeuroImage.

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

Dinggang Shen, Qian Wang, Guorong Wu, 2015, NeuroImage.

Correspondence Establishment in Statistical Shape Modeling: Optimization and Evaluation

Song Wang, Brent C. Munsell, B. Munsell, 2017 .