Richard Cameron Craddock, Ph.D.
Affiliations: | Child Mind Institute |
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"Richard Craddock"Mean distance: 22.27 (cluster 40)
Parents
Sign in to add mentor| Helen Mayberg | grad student | Emory | ||
| Xiaoping Hu | grad student | 2009 | Georgia Tech | |
| (Support vector classification analysis of resting state functional connectivity fMRI.) | ||||
| Stephen M. LaConte | post-doc | Virginia Tech Carilion Research Institute | ||
Collaborators
Sign in to add collaborator| Felipe Almeida Picon | collaborator | 2010- | Child Mind Institute |
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Publications
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| Hebling Vieira B, Liem F, Dadi K, et al. (2022) Predicting future cognitive decline from non-brain and multimodal brain imaging data in healthy and pathological aging. Neurobiology of Aging. 118: 55-65 |
| Xu T, Falchier A, Sullivan EL, et al. (2018) Delineating the Macroscale Areal Organization of the Macaque Cortex In Vivo. Cell Reports. 23: 429-441 |
| Heinsfeld AS, Franco AR, Craddock RC, et al. (2018) Identification of autism spectrum disorder using deep learning and the ABIDE dataset. Neuroimage. Clinical. 17: 16-23 |
| Rosen AFG, Roalf DR, Ruparel K, et al. (2017) Quantitative assessment of structural image quality. Neuroimage. 169: 407-418 |
| Garcia-Garcia M, Nikolaidis A, Bellec P, et al. (2017) Detecting stable individual differences in the functional organization of the human basal ganglia. Neuroimage |
| O'Connor D, Potler NV, Kovacs M, et al. (2017) The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions. Gigascience. 6: 1-14 |
| Di Martino A, O'Connor D, Chen B, et al. (2017) Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. Scientific Data. 4: 170010 |
| Liem F, Varoquaux G, Kynast J, et al. (2016) Predicting brain-age from multimodal imaging data captures cognitive impairment. Neuroimage |
| Abraham A, Milham M, Martino AD, et al. (2016) Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. Neuroimage |
| Puccio B, Pooley JP, Pellman JS, et al. (2016) The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data. Gigascience. 5: 45 |