about
NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brainChanging computational research. The challenges aheadHow machine learning is shaping cognitive neuroimaging.Scikit-learn: Machine Learning in PythonAPI design for machine learning software: experiences from the scikit-learn projectThe brain imaging data structure, a format for organizing and describing outputs of neuroimaging experimentsNeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brainWhich fMRI clustering gives good brain parcellations?PyXNAT: XNAT in PythonIdentification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.Connectivity-based parcellation: Critique and implications.Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.Predicting brain-age from multimodal imaging data captures cognitive impairment.Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.Learning and comparing functional connectomes across subjects.Spatial vs. Temporal Features in ICA of Resting-State fMRI - A Quantitative and Qualitative Investigation in the Context of Response Inhibition.Machine learning for neuroimaging with scikit-learnMachine learning patterns for neuroimaging-genetic studies in the cloud.Scale-Free and Multifractal Time Dynamics of fMRI Signals during Rest and Task.Formal Models of the Network Co-occurrence Underlying Mental Operations.Decoding fMRI activity in the time domain improves classification performance.Joint prediction of multiple scores captures better individual traits from brain images.Cross-validation failure: Small sample sizes lead to large error bars.Using and understanding cross-validation strategies. Perspectives on Saeb et al.Seeing it all: Convolutional network layers map the function of the human visual system.Transport on Riemannian Manifold for Connectivity-Based Brain Decoding.Robust regression for large-scale neuroimaging studies.Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction.Total variation regularization for fMRI-based prediction of behavior.Distinct alterations in Parkinson's medication-state and disease-state connectivityGroup-PCA for very large fMRI datasets.A group model for stable multi-subject ICA on fMRI datasets.Learning Neural Representations of Human Cognition across Many fMRI StudiesMarkov models for fMRI correlation structure: Is brain functional connectivity small world, or decomposable into networks?Cohort-level brain mapping: learning cognitive atoms to single out specialized regions.Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators.A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function.Randomized parcellation based inference.A probabilistic framework to infer brain functional connectivity from anatomical connections.
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