Publications by authors named "Cameron Craddock"

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Moving beyond processing- and analysis-related variation in resting-state functional brain imaging.
Xinhui Li, Nathalia Bianchini Esper, Lei Ai, Steve Giavasis, Hecheng Jin, Cameron Craddock

Nat Hum Behav· October 2024

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Author Correction: brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.
Soichi Hayashi, Bradley A Caron, Anibal Sólon Heinsfeld, Sophia Vinci-Booher, Brent McPherson, R Cameron Craddock

Nat Methods· June 2024

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brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.
Soichi Hayashi, Bradley A Caron, Anibal Sólon Heinsfeld, Sophia Vinci-Booher, Brent McPherson, R Cameron Craddock

Nat Methods· May 2024

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: A decentralized and open source cloud platform to support neuroscience research.
Soichi Hayashi, Bradley A Caron, Anibal Sólon Heinsfeld, Sophia Vinci-Booher, Brent McPherson, R Cameron Craddock

ArXiv· August 2023

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A longitudinal resource for studying connectome development and its psychiatric associations during childhood.
Russell H Tobe, Anna MacKay-Brandt, Ryan Lim, Melissa Kramer, Melissa M Breland, R Cameron Craddock

Sci Data· June 2022

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The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke.
Sook-Lei Liew, Artemis Zavaliangos-Petropulu, Neda Jahanshad, Catherine E Lang, Kathryn S Hayward, R Cameron Craddock

Hum Brain Mapp· January 2022

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Deep learning-based pancreas volume assessment in individuals with type 1 diabetes.
Raphael Roger, Melissa A Hilmes, Jonathan M Williams, Daniel J Moore, Alvin C Powers, R Cameron Craddock

BMC Med Imaging· January 2022

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Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: A GPS-Focused Smartphone Sensing Study.
Congyu Wu, Hagen Fritz, Melissa Miller, Cameron Craddock, Kerry Kinney

Front Digit Health· November 2021

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Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.
Eric W Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, Cameron Craddock

PLoS Comput Biol· September 2021

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Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.
Amelie Haugg, Fabian M Renz, Andrew A Nicholson, Cindy Lor, Sebastian J Götzendorfer, Cameron Craddock

Neuroimage· August 2021

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Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective.
Elizabeth Levitis, Cassandra D Gould van Praag, Rémi Gau, Stephan Heunis, Elizabeth DuPre, R Cameron Craddock

Gigascience· August 2021

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U-net model for brain extraction: Trained on humans for transfer to non-human primates.
Xindi Wang, Xin-Hui Li, Jae Wook Cho, Brian E Russ, Nanditha Rajamani, R Cameron Craddock

Neuroimage· July 2021

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Brainhack: Developing a culture of open, inclusive, community-driven neuroscience.
Rémi Gau, Stephanie Noble, Katja Heuer, Katherine L Bottenhorn, Isil P Bilgin, R Cameron Craddock

Neuron· June 2021

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Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts.
Congyu Wu, Hagen Fritz, Sepehr Bastami, Juan P Maestre, Edison Thomaz, R Cameron Craddock

Gigascience· June 2021

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Is it time to switch your T1W sequence? Assessing the impact of prospective motion correction on the reliability and quality of structural imaging.
Lei Ai, R Cameron Craddock, Nim Tottenham, Jonathan P Dyke, Ryan Lim

Neuroimage· February 2021

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Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?
Amelie Haugg, Ronald Sladky, Stavros Skouras, Amalia McDonald, Cameron Craddock

Hum Brain Mapp· October 2020

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Evaluating fMRI-Based Estimation of Eye Gaze During Naturalistic Viewing.
Jake Son, Lei Ai, Ryan Lim, Ting Xu, Stanley Colcombe, R Cameron Craddock

Cereb Cortex· March 2020

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Fused Lasso Regression for Identifying Differential Correlations in Brain Connectome Graphs.
Donghyeon Yu, Sang Han Lee, Johan Lim, Guanghua Xiao, R Cameron Craddock

Stat Anal Data Min· October 2018

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Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest.
Hao-Ting Wang, Danilo Bzdok, Daniel Margulies, Cameron Craddock, Michael Milham

Neuroimage· August 2018

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Assessment of the impact of shared brain imaging data on the scientific literature.
Michael P Milham, R Cameron Craddock, Jake J Son, Michael Fleischmann, Jon Clucas

Nat Commun· July 2018

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Neuroimage special issue on brain segmentation and parcellation - Editorial.
R Cameron Craddock, Pierre Bellec, Saad Jbabdi

Neuroimage· April 2018

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Quantitative assessment of structural image quality.
Adon F G Rosen, David R Roalf, Kosha Ruparel, Jason Blake, Kevin Seelaus, R Cameron Craddock

Neuroimage· April 2018

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Delineating the Macroscale Areal Organization of the Macaque Cortex In Vivo.
Ting Xu, Arnaud Falchier, Elinor L Sullivan, Gary Linn, Julian S B Ramirez, R Cameron Craddock

Cell Rep· April 2018

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A large, open source dataset of stroke anatomical brain images and manual lesion segmentations.
Sook-Lei Liew, Julia M Anglin, Nick W Banks, Matt Sondag, Kaori L Ito, R Cameron Craddock

Sci Data· February 2018

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An open resource for transdiagnostic research in pediatric mental health and learning disorders.
Lindsay M Alexander, Jasmine Escalera, Lei Ai, Charissa Andreotti, Karina Febre, R Cameron Craddock

Sci Data· December 2017

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