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Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Covariance Estimators
Download from hal.inria.frA Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding
Download from hal.inria.frLearning to rank from medical imaging data
Download from hal.inria.frA Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference
Download from link.springer.comChanging computational research. The challenges ahead
Download from dx.doi.orgNon-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets
Download from hal.inria.frStatistical Learning for Resting-State fMRI: Successes and Challenges
Download from hal.archives-ouvertes.frImproving Accuracy and Power with Transfer Learning Using a Meta-analytic Database
Download from link.springer.comBeyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify
Download from hal.inria.frScikit-learn: Machine Learning in Python
Download from hal.inria.frTotal Variation Regularization for fMRI-Based Prediction of Behavior
Download from www.ncbi.nlm.nih.govA supervised clustering approach for fMRI-based inference of brain states
Download from arxiv.orgMultifractal analysis of Resting State Networks in functional MRI
Download from hal-cea.archives-ouvertes.frThe NumPy array: a structure for efficient numerical computation
Download from hal.inria.frMayavi: 3D visualization of scientific data
Download from hal.inria.frMulti-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity
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