Brent C. Munsell

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 12

Top Topics

Transductive Learning

Feature Representation

Shape Correspondence

Registration Framework

Top Venues

IEEE Trans. Biomed. Eng.

Publications

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
Personalized connectome fingerprints: Their importance in cognition from childhood to adult years. NeuroImage 221 (2020)
Jessica B. Girault, Brent C. Munsell, Danaële Puechmaille, Barbara Davis Goldman, Juan-Carlos Prieto, Martin Styner, John H. Gilmore
White matter connectomes at birth accurately predict cognitive abilities at age 2. NeuroImage 192 (2019)
Xiaofeng Zhu, Gerard Sanroma, Jilian Zhang, Brent C. Munsell
Editorial: Deep Mining Big Social Data. World Wide Web 21 (6) (2018)
Guorong Wu, Brent C. Munsell, Paul Laurienti, Moo K. Chung
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. CNI@MICCAI (2018)
Brent C. Munsell, Eric Hofesmann, John Delgaizo, Martin Styner, Leonardo Bonilha
Identifying Subnetwork Fingerprints in Structural Connectomes: A Data-Driven Approach. CNI@MICCAI (2017)
Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning". IEEE Trans. Biomed. Eng. 64 (1) (2017)
Lucas Leandro Nesi, Chris Rorden, Brent C. Munsell
A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts. CNI@MICCAI (2017)
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Anal. 39 (2017)
Brent C. Munsell, Guorong Wu, Yue Gao, Nicholas Desisto, Martin Styner
Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method. MICCAI (2) (2016)
Jun Zhang, Yue Gao, Yaozong Gao, Brent C. Munsell, Dinggang Shen
Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 35 (12) (2016)
Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. MLMI@MICCAI (2016)
Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. IEEE Trans. Biomed. Eng. 63 (7) (2016)
Davy Vanderweyen, Brent C. Munsell, Jacobo E. Mintzer, Olga Mintzer, Andy Gajadhar, Xun Zhu, Guorong Wu, Jane E. Joseph
Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data. MLMI (2015)
Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent C. Munsell, Dinggang Shen
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition. NeuroImage 106 (2015)
Bo Cheng, Mingxia Liu, Daoqiang Zhang, Brent C. Munsell, Dinggang Shen
Domain Transfer Learning for MCI Conversion Prediction. IEEE Trans. Biomed. Eng. 62 (7) (2015)
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
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data. NeuroImage 118 (2015)
Brent C. Munsell, Andrew Temlyakov, Martin Styner, Song Wang
Pre-organizing Shape Instances for Landmark-Based Shape Correspondence. Int. J. Comput. Vis. 97 (2) (2012)
Brent C. Munsell, Andrew Temlyakov, Chengzheng Qu, Song Wang
Person Identification Using Full-Body Motion and Anthropometric Biometrics from Kinect Videos. ECCV Workshops (3) (2012)
Andrew Temlyakov, Brent C. Munsell, Jarrell W. Waggoner, Song Wang
Two perceptually motivated strategies for shape classification. CVPR (2010)
Brent C. Munsell, Andrew Temlyakov, Song Wang
Fast multiple shape correspondence by pre-organizing shape instances. CVPR (2009)
Brent C. Munsell, Pahal Dalal, Song Wang
Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. 30 (11) (2008)
Brent C. Munsell, Pahal Dalal, Song Wang
A New Benchmark for Shape Correspondence Evaluation. MICCAI (1) (2007)
Pahal Dalal, Brent C. Munsell, Song Wang, Jijun Tang, Kenton Oliver, Hiroaki Ninomiya, Xiangrong Zhou, Hiroshi Fujita
A Fast 3D Correspondence Method for Statistical Shape Modeling. CVPR (2007)