Theodore D. Satterthwaite

Orcid: 0000-0001-7072-9399

According to our database1, Theodore D. Satterthwaite authored at least 52 papers between 2007 and 2023.

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

Timeline

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Bibliography

2023
ALE meta-analyses of voxel-based morphometry studies: Parameter validation via large-scale simulations.
NeuroImage, November, 2023

Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.
NeuroImage, July, 2023

ModelArray: An R package for statistical analysis of fixel-wise data.
NeuroImage, May, 2023

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.
NeuroImage, April, 2023

Computing personalized brain functional networks from fMRI using self-supervised deep learning.
Medical Image Anal., April, 2023

2022
Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence.
NeuroImage, 2022

Retinal ganglion cell endowment is correlated with optic tract fiber cross section, not density.
NeuroImage, 2022

Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets.
NeuroImage, 2022

Harmonizing functional connectivity reduces scanner effects in community detection.
NeuroImage, 2022

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.
Medical Image Anal., 2022

2021
Hierarchical Extraction of Functional Connectivity Components in Human Brain Using Resting-State fMRI.
IEEE Trans. Medical Imaging, 2021

FlywheelTools: Data Curation and Manipulation on the Flywheel Platform.
Frontiers Neuroinformatics, 2021

2020
Intensity warping for multisite MRI harmonization.
NeuroImage, 2020

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
NeuroImage, 2020

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.
NeuroImage, 2020

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
CoRR, 2020

Discovering Synchronized Subsets of Sequences: A Large Scale Solution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
System-level matching of structural and functional connectomes in the human brain.
NeuroImage, 2019

Sex differences in network controllability as a predictor of executive function in youth.
NeuroImage, 2019

2018
Quantitative assessment of structural image quality.
NeuroImage, 2018

Brain state flexibility accompanies motor-skill acquisition.
NeuroImage, 2018

Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment.
NeuroImage, 2018

The impact of in-scanner head motion on structural connectivity derived from diffusion MRI.
NeuroImage, 2018

On testing for spatial correspondence between maps of human brain structure and function.
NeuroImage, 2018

Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis.
CoRR, 2018

Sex differences in network controllability as a predictor of executive function in youth.
CoRR, 2018

MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Large-scale sparse functional networks from resting state fMRI.
NeuroImage, 2017

Harmonization of multi-site diffusion tensor imaging data.
NeuroImage, 2017

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.
NeuroImage, 2017

2016
Subject-level measurement of local cortical coupling.
NeuroImage, 2016

The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth.
NeuroImage, 2016

The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort.
NeuroImage, 2016

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.
NeuroImage, 2016

MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.
NeuroImage, 2016

Identification of subject-specific brain functional networks using a collaborative sparse nonnegative matrix decomposition method.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex.
NeuroImage, 2015

Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI.
NeuroImage, 2015

2014
Neuroimaging of the Philadelphia Neurodevelopmental Cohort.
NeuroImage, 2014

Discriminative Sparse Connectivity Patterns for Classification of fMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth.
NeuroImage, 2013

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data.
NeuroImage, 2013

ODVBA-C: Optimally-Discriminative Voxel-Based Analysis of Continuous Variables.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

A Graph-Based Brain Parcellation Method Extracting Sparse Networks.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Identifying patterns in temporal variation of functional connectivity using resting state FMRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Unsupervised Learning of Functional Network Dynamics in Resting State fMRI.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth.
NeuroImage, 2012

Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youth.
NeuroImage, 2012

Multivariate fMRI Analysis Using Optimally-discriminative Voxel-based Analysis.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Sparse Dictionary Learning of Resting State fMRI Networks.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

2007
Dissociable but inter-related systems of cognitive control and reward during decision making: Evidence from pupillometry and event-related fMRI.
NeuroImage, 2007


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