A Fast 3D Correspondence Method for Statistical Shape Modeling. - Pahal Dalal; Brent C. Munsell; Song Wang 002; Jijun Tang; Kenton Oliver; Hiroaki Ninomiya; Xiangrong Zhou; Hiroshi Fujita 001 (CVPR, 2007)

A New Benchmark for Shape Correspondence Evaluation. - Brent C. Munsell; Pahal Dalal; Song Wang 002 (MICCAI (1), 2007)

Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study. - Brent C. Munsell; Pahal Dalal; Song Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Fast multiple shape correspondence by pre-organizing shape instances. - Brent C. Munsell; Andrew Temlyakov; Song Wang 002 (CVPR, 2009)

Two perceptually motivated strategies for shape classification. - Andrew Temlyakov; Brent C. Munsell; Jarrell W. Waggoner; Song Wang 002 (CVPR, 2010)

Person Identification Using Full-Body Motion and Anthropometric Biometrics from Kinect Videos. - Brent C. Munsell; Andrew Temlyakov; Chengzheng Qu; Song Wang 002 (ECCV Workshops (3), 2012)

Pre-organizing Shape Instances for Landmark-Based Shape Correspondence. - Brent C. Munsell; Andrew Temlyakov; Martin Styner; Song Wang 002 (Int. J. Comput. Vis., 2012)

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 001; Jane E. Joseph (MLMI, 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 001; Christian Erich Elger; Laura Angelica Tomaz da Silva; Travis Nesland; Martin Styner; Dinggang Shen; Leonardo Bonilha (NeuroImage, 2015)

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition. - Guorong Wu 001; Minjeong Kim; Gerard Sanroma; Qian Wang 001; Brent C. Munsell; Dinggang Shen (NeuroImage, 2015)

Domain Transfer Learning for MCI Conversion Prediction. - Bo Cheng 006; Mingxia Liu 001; Daoqiang Zhang; Brent C. Munsell; Dinggang Shen (IEEE Trans. Biomed. Eng., 2015)

Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method. - Brent C. Munsell; Guorong Wu 001; Yue Gao 002; Nicholas Desisto; Martin Styner (MICCAI (2), 2016)

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. - Chen Zu; Yue Gao 002; Brent C. Munsell; Minjeong Kim; Zi-Wen Peng; Yingying Zhu 004; Wei Gao; Daoqiang Zhang; Dinggang Shen; Guorong Wu 001 (MLMI@MICCAI, 2016)

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. - Guorong Wu 001; Minjeong Kim; Qian Wang 001; Brent C. Munsell; Dinggang Shen (IEEE Trans. Biomed. Eng., 2016)

Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. - Jun Zhang 018; Yue Gao 002; Yaozong Gao; Brent C. Munsell; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Identifying Subnetwork Fingerprints in Structural Connectomes: A Data-Driven Approach. - Brent C. Munsell; Eric Hofesmann; John Delgaizo; Martin Styner; Leonardo Bonilha (CNI@MICCAI, 2017)

A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts. - Lucas Leandro Nesi; Chris Rorden; Brent C. Munsell (CNI@MICCAI, 2017)

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. - Zhengxia Wang; Xiaofeng Zhu 001; Ehsan Adeli 001; Yingying Zhu 004; Feiping Nie 001; Brent C. Munsell; Guorong Wu 001 (Medical Image Anal., 2017)

Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning". - Guorong Wu 001; Minjeong Kim; Qian Wang 001; Brent C. Munsell; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. - Guorong Wu 001; Brent C. Munsell; Paul J. Laurienti; Moo K. Chung (CNI@MICCAI, 2018)

Editorial: Deep Mining Big Social Data. - Xiaofeng Zhu 001; Gerard Sanroma; Jilian Zhang; Brent C. Munsell (World Wide Web, 2018)

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 001; Martin Styner; John H. Gilmore (NeuroImage, 2019)

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)