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Disambiguation of "Anderson, Jeffrey S."

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Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference.

, , , , , and . CNI@MICCAI, volume 10511 of Lecture Notes in Computer Science, page 98-107. Springer, (2017)

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Jeffrey S Lantis

Gregory D S Anderson

Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

 

Other publications of authors with the same name

Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior., , , , , and . ISBI, page 1303-1306. IEEE, (2016)Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains., , , and . CNI@MICCAI, volume 11083 of Lecture Notes in Computer Science, page 67-77. Springer, (2018)Riemannian Regression and Classification Models of Brain Networks Applied to Autism., , , and . CNI@MICCAI, volume 11083 of Lecture Notes in Computer Science, page 78-87. Springer, (2018)Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference., , , , , and . CNI@MICCAI, volume 10511 of Lecture Notes in Computer Science, page 98-107. Springer, (2017)Dynamical stability of intrinsic connectivity networks., and . NeuroImage, 59 (4): 4022-4031 (2012)Assessment of white matter microstructure in stroke patients using NODDI., , , , , and . EMBC, page 742-745. IEEE, (2014)Spatial Regularization of Functional Connectivity Using High-Dimensional Markov Random Fields., , , , and . MICCAI (2), volume 6362 of Lecture Notes in Computer Science, page 363-370. Springer, (2010)Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale., , , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 736-744. Springer, (2019)Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance., , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 102-110. Springer, (2019)Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI., , , , and . MLMI, volume 7009 of Lecture Notes in Computer Science, page 59-66. Springer, (2011)