2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning
暂无分享,去创建一个
Juntang Zhuang | Nicha C. Dvornek | Xiaoxiao Li | Pamela Ventola | James S. Duncan | Lawrence H. Staib | Xenophon Papademetris | J. Duncan | X. Papademetris | L. Staib | Juntang Zhuang | N. Dvornek | P. Ventola | Xiaoxiao Li
[1] M. Rutter,et al. Adult outcome for children with autism. , 2004, Journal of child psychology and psychiatry, and allied disciplines.
[2] Dinggang Shen,et al. Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics , 2014, MICCAI.
[3] Epifanio Bagarinao,et al. Estimation of general linear model coefficients for real-time application , 2003, NeuroImage.
[4] Wei Zhang,et al. Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks , 2018, IEEE Transactions on Biomedical Engineering.
[5] Naomi B. Pitskel,et al. Neural signatures of autism , 2010, Proceedings of the National Academy of Sciences.
[6] Catherine J. Stoodley,et al. Autism spectrum disorder and the cerebellum. , 2013, International review of neurobiology.
[7] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[8] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[9] Swann Pichon,et al. Classification of autistic individuals and controls using cross-task characterization of fMRI activity , 2015, NeuroImage: Clinical.