Prediction of Severity and Treatment Outcome for ASD from fMRI
暂无分享,去创建一个
Juntang Zhuang | Nicha C. Dvornek | Xiaoxiao Li | Pamela Ventola | James S. Duncan | J. Duncan | Juntang Zhuang | N. Dvornek | P. Ventola | Xiaoxiao Li
[1] Budhachandra S. Khundrakpam,et al. Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data , 2016, bioRxiv.
[2] B. Leventhal,et al. The Autism Diagnostic Observation Schedule—Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of Autism , 2000, Journal of autism and developmental disorders.
[3] Xenophon Papademetris,et al. Groupwise whole-brain parcellation from resting-state fMRI data for network node identification , 2013, NeuroImage.
[4] Alan C. Evans,et al. Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy , 2010, The Journal of Neuroscience.
[5] João Ricardo Sato,et al. Inter-regional cortical thickness correlations are associated with autistic symptoms: a machine-learning approach. , 2013, Journal of psychiatric research.
[6] Jean-Michel Poggi,et al. Variable selection using random forests , 2010, Pattern Recognit. Lett..
[7] Juntang Zhuang,et al. Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection , 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
[8] G. Baird,et al. Diagnosis of autism , 2003, BMJ : British Medical Journal.
[9] C. Lord,et al. Standardizing ADOS Scores for a Measure of Severity in Autism Spectrum Disorders , 2009, Journal of autism and developmental disorders.
[10] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[11] Malin Björnsdotter,et al. Evaluation of Quantified Social Perception Circuit Activity as a Neurobiological Marker of Autism Spectrum Disorder. , 2016, JAMA psychiatry.
[12] Nicha C. Dvornek,et al. Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging , 2018, ArXiv.
[13] Russell A. Poldrack,et al. Large-scale automated synthesis of human functional neuroimaging data , 2011, Nature Methods.
[14] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[15] Naomi B. Pitskel,et al. Neural signatures of autism , 2010, Proceedings of the National Academy of Sciences.
[16] Teryn P. Bruni,et al. Test Review: Social Responsiveness Scale–Second Edition (SRS-2) , 2014 .
[17] L. Koegel,et al. Pivotal Response Intervention I: Overview of Approach , 1999 .
[18] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[19] Jared A. Nielsen,et al. Functional connectivity magnetic resonance imaging classification of autism. , 2011, Brain : a journal of neurology.
[20] Daniel P. Kennedy,et al. The Autism Brain Imaging Data Exchange: Towards Large-Scale Evaluation of the Intrinsic Brain Architecture in Autism , 2013, Molecular Psychiatry.