R. Cameron Craddock

Orcid: 0000-0002-4950-1303

Affiliations:
  • Emory University, Department of Psychiatry and Behavioral Sciences, Atlanta, GA, USA
  • University of Texas at Austin, Dell Medical School, TX, USA (former)
  • Georgia Institute of Technology, Atlanta, GA, USA (PhD 2009)


According to our database1, R. Cameron Craddock authored at least 30 papers between 2009 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
brainlife.io: A decentralized and open source cloud platform to support neuroscience research.
CoRR, 2023

2022
Deep learning-based pancreas volume assessment in individuals with type 1 diabetes.
BMC Medical Imaging, 2022

2021
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.
PLoS Comput. Biol., 2021

U-net model for brain extraction: Trained on humans for transfer to non-human primates.
NeuroImage, 2021

Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.
NeuroImage, 2021

Is it time to switch your T1W sequence? Assessing the impact of prospective motion correction on the reliability and quality of structural imaging.
NeuroImage, 2021

Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: A GPS-Focused Smartphone Sensing Study.
Frontiers Digit. Health, 2021

Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: a GPS-focused Smartphone Sensing Study.
CoRR, 2021

2020
Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data.
CoRR, 2020

Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments.
CoRR, 2020

2018
Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest.
NeuroImage, 2018

Quantitative assessment of structural image quality.
NeuroImage, 2018

Detecting stable individual differences in the functional organization of the human basal ganglia.
NeuroImage, 2018

Neuroimage special issue on brain segmentation and parcellation - Editorial.
NeuroImage, 2018

2017
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.
PLoS Comput. Biol., 2017

Individual differences in functional connectivity during naturalistic viewing conditions.
NeuroImage, 2017

Predicting brain-age from multimodal imaging data captures cognitive impairment.
NeuroImage, 2017

The Neuro Bureau ADHD-200 Preprocessed repository.
NeuroImage, 2017

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.
NeuroImage, 2017

2016
An integrated framework for targeting functional networks via transcranial magnetic stimulation.
NeuroImage, 2016

2015
Impact of the resolution of brain parcels on connectome-wide association studies in fMRI.
NeuroImage, 2015

2014
Common intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics.
NeuroImage, 2014

A multivariate distance-based analytic framework for connectome-wide association studies.
NeuroImage, 2014

Multiscale statistical testing for connectome-wide association studies in fMRI.
CoRR, 2014

2013
Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes.
NeuroImage, 2013

A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.
NeuroImage, 2013

Learning and comparing functional connectomes across subjects.
NeuroImage, 2013

Predicting intrinsic brain activity.
NeuroImage, 2013

Clinical applications of the functional connectome.
NeuroImage, 2013

2009
Exploratory structural equation modeling of resting-state fMRI: Applicability of group models to individual subjects.
NeuroImage, 2009


  Loading...