Jeffrey S. Anderson

Orcid: 0000-0002-9669-3846

According to our database1, Jeffrey S. Anderson authored at least 14 papers between 2010 and 2019.

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

Timeline

Legend:

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Links

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Bibliography

2019
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference.
Brain Connect., 2019

Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Individual differences in aesthetic engagement are reflected in resting-state fMRI connectivity: Implications for stress resilience.
NeuroImage, 2018

Riemannian Regression and Classification Models of Brain Networks Applied to Autism.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

2016
Investigating the Microstructural Correlation of White Matter in Autism Spectrum Disorder.
Brain Connect., 2016

Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014
A functional network estimation method of resting-state fMRI using a hierarchical Markov random field.
NeuroImage, 2014

Assessment of white matter microstructure in stroke patients using NODDI.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012
Dynamical stability of intrinsic connectivity networks.
NeuroImage, 2012

2011
Connectivity Gradients Between the Default Mode and Attention Control Networks.
Brain Connect., 2011

Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2010
Spatial Regularization of Functional Connectivity Using High-Dimensional Markov Random Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010


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