Bertrand Thirion
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Bertrand Thirion's Degrees
- PhD Computer Science Université Paris Cité
- Bachelors Physics University of Bordeaux
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(Suggest an Edit or Addition)Bertrand Thirion's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Scikit-learn: Machine Learning in Python (2011) (53959)
- Machine learning for neuroimaging with scikit-learn (2014) (1189)
- Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses (2007) (541)
- Best practices in data analysis and sharing in neuroimaging using MRI (2016) (492)
- Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines (2016) (487)
- Variability in the analysis of a single neuroimaging dataset by many teams (2019) (476)
- Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example (2016) (440)
- An Automatic Valuation System in the Human Brain: Evidence from Functional Neuroimaging (2009) (374)
- Recruitment of an Area Involved in Eye Movements During Mental Arithmetic (2009) (366)
- Inverse retinotopy: Inferring the visual content of images from brain activation patterns (2006) (310)
- Which fMRI clustering gives good brain parcellations? (2014) (307)
- Brain covariance selection: better individual functional connectivity models using population prior (2010) (273)
- Connectivity‐based parcellation: Critique and implications (2015) (242)
- Seeing it all: Convolutional network layers map the function of the human visual system (2017) (240)
- Dealing with the shortcomings of spatial normalization: Multi‐subject parcellation of fMRI datasets (2006) (236)
- Benchmarking functional connectome-based predictive models for resting-state fMRI (2019) (190)
- Deciphering Cortical Number Coding from Human Brain Activity Patterns (2009) (185)
- Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity (2011) (184)
- A group model for stable multi-subject ICA on fMRI datasets (2010) (165)
- Total Variation Regularization for fMRI-Based Prediction of Behavior (2011) (158)
- Fast reproducible identification and large-scale databasing of individual functional cognitive networks (2007) (152)
- Robust clustering of massive tractography datasets (2011) (141)
- Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling (2010) (130)
- A supervised clustering approach for fMRI-based inference of brain states (2011) (127)
- Early Maturation of the Linguistic Dorsal Pathway in Human Infants (2011) (125)
- Exploring the Early Organization and Maturation of Linguistic Pathways in the Human Infant Brain. (2016) (123)
- Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity (2011) (108)
- How machine learning is shaping cognitive neuroimaging (2014) (107)
- Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants (2018) (103)
- A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI (2008) (100)
- Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares (2012) (100)
- Detection of signal synchronizations in resting-state fMRI datasets (2006) (89)
- Identifying Predictive Regions from fMRI with TV-L1 Prior (2013) (89)
- An empirical comparison of surface-based and volume-based group studies in neuroimaging (2012) (78)
- Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering (2012) (76)
- Interoperable atlases of the human brain (2014) (75)
- NeuroQuery, comprehensive meta-analysis of human brain mapping (2020) (74)
- Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping (2018) (74)
- A disconnection account of Gerstmann syndrome: Functional neuroanatomy evidence (2009) (73)
- Data-driven HRF estimation for encoding and decoding models (2014) (70)
- Formal Models of the Network Co-occurrence Underlying Mental Operations (2016) (65)
- Dynamical components analysis of fMRI data through kernel PCA (2003) (60)
- Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies (2007) (59)
- Dictionary Learning for Massive Matrix Factorization (2016) (57)
- Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning (2013) (55)
- Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators (2012) (52)
- Shared endo-phenotypes of default mode dysfunction in attention deficit/hyperactivity disorder and autism spectrum disorder (2018) (51)
- A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference (2012) (50)
- Atlases of cognition with large-scale human brain mapping (2018) (49)
- Combined permutation test and mixed‐effect model for group average analysis in fMRI (2006) (49)
- Very large fMRI study using the IMAGEN database: Sensitivity–specificity and population effect modeling in relation to the underlying anatomy (2012) (48)
- Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data (2015) (46)
- Discriminative Network Models of Schizophrenia (2009) (45)
- Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging (2008) (43)
- Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging (2014) (41)
- Mapping the asynchrony of cortical maturation in the infant brain: A MRI multi-parametric clustering approach (2019) (40)
- Variational, geometric, and statistical methods for modeling brain anatomy and function (2004) (40)
- Functional annotation of human cognitive states using deep graph convolution (2020) (38)
- Transport on Riemannian Manifold for Functional Connectivity-Based Classification (2014) (38)
- Fine-grain atlases of functional modes for fMRI analysis (2020) (36)
- Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function (2018) (36)
- Mixed-effect statistics for group analysis in fMRI: A nonparametric maximum likelihood approach (2007) (35)
- Mutual information-based feature selection enhances fMRI brain activity classification (2008) (35)
- Anatomo-Functional Description of the Brain : A Probabilistic Approach (2006) (35)
- A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections (2011) (34)
- Joint prediction of multiple scores captures better individual traits from brain images (2017) (34)
- A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation (2013) (34)
- Inter-subject Registration of Functional Images: Do We Need Anatomical Images? (2018) (34)
- Distinct alterations in Parkinson's medication-state and disease-state connectivity (2017) (34)
- Markov models for fMRI correlation structure: Is brain functional connectivity small world, or decomposable into networks? (2012) (32)
- Stochastic Subsampling for Factorizing Huge Matrices (2017) (32)
- Graph-Based Inter-Subject Pattern Analysis of fMRI Data (2014) (32)
- Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions? (2008) (30)
- Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm. (2016) (29)
- Inference and Prediction Diverge in Biomedicine (2020) (28)
- Schizophrenia as a Network Disease: Disruption of Emergent Brain Function in Patients with Auditory Hallucinations (2013) (28)
- A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks (2013) (28)
- Phase delays within visual cortex shape the response to steady-state visual stimulation (2011) (28)
- Feature characterization in fMRI data: the Information Bottleneck approach (2004) (26)
- Nonlinear dimension reduction of fMRI data: the Laplacian embedding approach (2004) (25)
- Compressed online dictionary learning for fast resting-state fMRI decomposition (2016) (25)
- Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions (2013) (24)
- Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant (2011) (24)
- Random Forests based feature selection for decoding fMRI data (2010) (24)
- PyBIDS: Python tools for BIDS datasets (2019) (24)
- FReM – Scalable and stable decoding with fast regularized ensemble of models (2017) (22)
- Learning to rank from medical imaging data (2012) (22)
- Fusion of color, shading and boundary information for factory pipe segmentation (2000) (22)
- Mapping cognitive ontologies to and from the brain (2013) (22)
- High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models (2007) (21)
- Transport on Riemannian Manifold for Connectivity-Based Brain Decoding (2016) (21)
- Perceptual alternations between unbound moving contours and bound shape motion engage a ventral/dorsal interplay. (2012) (20)
- Randomized parcellation based inference (2014) (20)
- Learning brain regions via large-scale online structured sparse dictionary learning (2016) (20)
- Recursive Nearest Agglomeration (ReNA): Fast Clustering for Approximation of Structured Signals (2016) (19)
- Connectivity-informed Sparse Classifiers for fMRI Brain Decoding (2012) (19)
- Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation (2013) (19)
- Connectivity-Informed fMRI Activation Detection (2011) (19)
- Convolutional Network Layers Map the Function of the Human Visual Cortex (2017) (19)
- Joint T1 and Brain Fiber Log-Demons Registration Using Currents to Model Geometry (2012) (18)
- Feature Detection in fMRI Data: The Information Bottleneck Approach (2003) (18)
- Multi-subject MEG/EEG source imaging with sparse multi-task regression (2019) (18)
- Improving Sparse Recovery on Structured Images with Bagged Clustering (2015) (18)
- Finding Landmarks in the Functional Brain: Detection and Use for Group Characterization (2005) (18)
- A supervised clustering approach for extracting predictive information from brain activation images (2010) (18)
- Patterns of autism symptoms: hidden structure in the ADOS and ADI-R instruments (2019) (17)
- Robust regression for large-scale neuroimaging studies (2015) (17)
- A Comparison of Metrics and Algorithms for Fiber Clustering (2013) (17)
- Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction (2016) (17)
- Robust statistics for nonparametric group analysis in fMRI (2006) (17)
- Graph-Based Inter-subject Classification of Local fMRI Patterns (2012) (17)
- Learning Neural Representations of Human Cognition across Many fMRI Studies (2017) (16)
- Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping (2020) (16)
- ICA-based sparse features recovery from fMRI datasets (2010) (16)
- Population modeling with machine learning can enhance measures of mental health (2021) (16)
- Population shrinkage of covariance (PoSCE) for better individual brain functional‐connectivity estimation☆ (2019) (16)
- Machine learning patterns for neuroimaging-genetic studies in the cloud (2014) (16)
- Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI (2008) (16)
- Brain‐based ranking of cognitive domains to predict schizophrenia (2019) (16)
- Hyperfrontality and hypoconnectivity during refreshing in schizophrenia (2013) (14)
- Aggregation of Multiple Knockoffs (2020) (14)
- Modeling Shared Responses in Neuroimaging Studies through MultiView ICA (2020) (14)
- Brain topography beyond parcellations: Local gradients of functional maps (2021) (14)
- SmartPulse, a machine learning approach for calibration‐free dynamic RF shimming: Preliminary study in a clinical environment (2019) (14)
- Controlling a confound in predictive models with a test set minimizing its effect (2018) (13)
- Extracting representations of cognition across neuroimaging studies improves brain decoding (2018) (13)
- Multiclass Sparse Bayesian Regression for fMRI-Based Prediction (2011) (13)
- Decoding fMRI activity in the time domain improves classification performance (2017) (13)
- A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain (2012) (13)
- Human Retinotopic Mapping Using fMRI (2006) (13)
- Approximate message-passing for convex optimization with non-separable penalties (2018) (13)
- Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties (2015) (13)
- Prediction and inference diverge in biomedicine: Simulations and real-world data (2018) (12)
- Region segmentation for sparse decompositions: better brain parcellations from rest fMRI (2014) (12)
- Local Optimal Transport for Functional Brain Template Estimation (2019) (12)
- Mapping paradigm ontologies to and from the brain (2013) (12)
- An empirical evaluation of functional alignment using inter-subject decoding (2020) (11)
- Patterns of schizophrenia symptoms: hidden structure in the PANSS questionnaire (2018) (11)
- Brain-based ranking of cognitive domains to predict schizophrenia (2018) (11)
- Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening (2015) (11)
- Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-Sample Generalization (2017) (11)
- Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges (2010) (11)
- Author response: NeuroQuery, comprehensive meta-analysis of human brain mapping (2020) (11)
- How to remove or control confounds in predictive models, with applications to brain biomarkers (2022) (11)
- nipy/nibabel: 3.2.1 (2020) (10)
- Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso (2020) (10)
- Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy (2010) (10)
- Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging (2017) (10)
- Clustering the infant brain tissues based on microstructural properties and maturation assessment using multi-parametric MRI (2015) (10)
- Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease (2015) (10)
- HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models (2013) (9)
- Probabilistic atlas and geometric variability estimation to drive tissue segmentation (2014) (9)
- Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify (2011) (9)
- The coming decade of digital brain research A vision for neuroscience at the intersection of technology and computing (2022) (9)
- Intersubject Variability in fMRI Data: Causes, Consequences, and Related Analysis Strategies (2010) (9)
- DEALING WITH SPATIAL NORMALIZATION ERRORS IN fMRI GROUP INFERENCE USING HIERARCHICAL MODELING (2008) (8)
- NIPY: an open library and development framework for FMRI data analysis (2009) (8)
- fMRI data analysis : statistics, information and dynamics (2003) (8)
- Decoding Visual Percepts Induced by Word Reading with fMRI (2012) (8)
- Improving Accuracy and Power with Transfer Learning Using a Meta-analytic Database (2012) (8)
- Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis. (2015) (7)
- Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates (2019) (7)
- Subject‐specific segregation of functional territories based on deep phenotyping (2020) (7)
- CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series (2009) (7)
- Principal Component Regression Predicts Functional Responses across Individuals (2014) (7)
- Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations (2013) (7)
- Triangulating cortical functional networks with anatomical landmarks (2008) (7)
- Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging (2008) (7)
- Statistical Inference with Ensemble of Clustered Desparsified Lasso (2018) (7)
- Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps (2022) (6)
- Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity (2017) (6)
- Deriving robust biomarkers from multi-site resting-state data: An Autism-based example (2016) (6)
- Network-level prediction of set-shifting deterioration after lower-grade glioma resection. (2022) (6)
- Relating Brain Functional Connectivity to Anatomical Connections: Model Selection (2011) (6)
- ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data (2019) (6)
- Multi-output predictions from neuroimaging: assessing reduced-rank linear models (2017) (6)
- A fast computational framework for genome-wide association studies with neuroimaging data (2012) (6)
- How machine learning is shaping cognitive (2014) (6)
- Total Variation meets Sparsity: statistical learning with segmenting penalties (2015) (6)
- Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps (2007) (6)
- Improving Sensitivity and Reliability of fMRI Group Studies through High Level Combination of Individual Subjects Results (2006) (6)
- Notip: Non-parametric true discovery proportion control for brain imaging (2022) (5)
- Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation (2014) (5)
- Accurate Definition of Brain Regions Position through the Functional Landmark Approach (2010) (5)
- Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data (2018) (5)
- Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis (2010) (5)
- Total Variation Regularization Enhances Regression-Based Brain Activity Prediction (2010) (5)
- Atlases of cognition with large-scale brain mapping (2018) (5)
- Analysis of fMRI data sampled from Large Populations: Statistical and Methodological Issues (2007) (5)
- A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding (2011) (5)
- Tissue outcome prediction in hyperacute ischemic stroke: Comparison of machine learning models (2021) (5)
- Automatic pathology classification using a single feature machine learning support - vector machines (2014) (5)
- Discriminating Between Populations of Subjects Based on FMRI Data Using Sparse Features Selection and SRDA Classifier (2009) (4)
- Empirical facts from search for replicable associations between cortical thickness and psychometric variables in healthy adults (2022) (4)
- The effects of repeated brain MRI on chromosomal damage (2022) (4)
- Extracting Universal Representations of Cognition across Brain-Imaging Studies (2018) (4)
- Adaptive multi-class Bayesian sparse regression - An application to brain activity classification (2009) (4)
- FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging (2015) (4)
- nipy/nibabel: 3.0.2 (2020) (4)
- Optimizing deep video representation to match brain activity (2018) (4)
- New Results - Which fMRI clustering gives good brain parcellations? (2014) (4)
- Social-sparsity brain decoders: faster spatial sparsity (2016) (4)
- Improved Brain Pattern Recovery through Ranking Approaches (2012) (4)
- Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data (2018) (4)
- The functional database of the ARCHI project: Potential and perspectives (2019) (4)
- Revisiting non-parametric activation detection on fMRI time series (2001) (4)
- Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures (2013) (4)
- Comparing functional connectivity based predictive models across datasets (2016) (4)
- Decoding with confidence: Statistical control on decoder maps (2021) (3)
- Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets (2012) (3)
- From deep brain phenotyping to functional atlasing (2021) (3)
- Text to brain: predicting the spatial distribution of neuroimaging observations from text reports (2018) (3)
- Subsampled online matrix factorization with convergence guarantees (2016) (3)
- Cortical dynamics of bistable form/motion binding: fMRI and eye movements (2010) (3)
- Fast shared response model for fMRI data (2019) (3)
- Dynamical components analysis of fMRI data (2002) (3)
- Beyond brain age: Empirically-derived proxy measures of mental health (2020) (3)
- Synthetic FLAIR as a Substitute for FLAIR Sequence in Acute Ischemic Stroke. (2022) (3)
- Functional Neuroimaging Group Studies (2016) (3)
- On Spatial Selectivity and Prediction across Conditions with fMRI (2012) (3)
- nipy/nibabel: 3.1.1 (2020) (3)
- Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses (2013) (3)
- Fast retinotopic mapping of visual fields using MEG (2008) (3)
- Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface (2010) (3)
- IBM Research Report Discriminative Network Models of Schizophrenia (2010) (2)
- Bayesian estimation of probabilistic atlas for tissue segmentation (2014) (2)
- Functional Magnetic Resonance Imaging data augmentation through conditional ICA (2021) (2)
- Notip: Non-parametric True Discovery Proportion estimation for brain imaging (2022) (2)
- Surface-based versus volume-based fMRI group analysis: a case study (2009) (2)
- Shared Independent Component Analysis for Multi-Subject Neuroimaging (2021) (2)
- Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations (2015) (2)
- Reading the brain visual system as an inverse problem (2006) (2)
- Aligning individual brains with fused unbalanced Gromov Wasserstein (2022) (2)
- A Comprehensive fMRI Processing Toolbox for BrainVISA (2009) (2)
- Dynamical Components Analysis of FMRI Data: A Second Order Solution (2003) (2)
- Compressed Online Dictionary Learning for Fast fMRI Decomposition (2016) (2)
- Tackling the Complexity of Lesion-Symptoms Mapping: How to Bridge the Gap Between Data Scientists and Clinicians? (2021) (2)
- Statistical Learning for Resting-State fMRI: Successes and Challenges (2011) (1)
- Intra and inter subject analyses of brain functional Magnetic Resonance Images (fMRI) (2015) (1)
- Dissemination - Animation of the scientific community (2010) (1)
- A framework for a hierarchical fiber bundle model inference using high angular resolution diffusion imaging (2009) (1)
- Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems (2016) (1)
- SpaceNet: Multivariate brain decoding and segmentation (2015) (1)
- Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction (2017) (1)
- Towards a faster randomized parcellation based inference (2017) (1)
- New Results - Identifying predictive regions from fMRI with TV-ℓ1 prior (2013) (1)
- Multivariate analysis of fMRI data: Is it worth using nonlinear methods (2003) (1)
- Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas (2012) (1)
- Multivariate Analysis is Sufficient for Lesion-Behaviour Mapping (2020) (1)
- Robust Group-Level Inference in Neuroimaging Genetic Studies (2013) (1)
- Fast brain decoding with random sampling and random projections (2016) (1)
- Comprehensive decoding mental processes from Web repositories of functional brain images (2022) (1)
- Structural and probabilistic methods for group analysis in functional neuroimaging. (Méthodes structurales et probabilistes pour l'analyse de groupe en neuroimagerie fonctionnelle) (2009) (0)
- Enhancing functional neuroimaging with meta-analytic approaches Bertrand Thirion (2014) (0)
- A standardised representation for non-parametric fMRI results (2018) (0)
- Euroscipy 2011: Python in Neuroscience workshop (2011) (0)
- New Results - ICA-based sparse pattern recovery from fMRI (2010) (0)
- Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping (2020) (0)
- A neural code for probabilities (2022) (0)
- Activation Detection and Characterisation in Brain fMRI Sequences. Application to the study of monkey vision. (2001) (0)
- Learning for Massive Matrix Factorization (2017) (0)
- nipy/nibabel: 3.2.0 (2020) (0)
- New Results - Surface-based fMRI data analyzes improvement (2010) (0)
- New Results - Deformable Template estimation for joint anatomical and functional brain images (2013) (0)
- Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals (2017) (0)
- Contracts and Grants with Industry - AzureBrain project (2010) (0)
- Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context (2023) (0)
- Deciphering pattern codes for non-symbolic and symbolic number in human parietal cortex (2009) (0)
- Why Believe in Multivariate Pattern Analysis ? The Skeptical Neuroimager ' s View (0)
- A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn (2023) (0)
- Probing hippocampus’ functional properties with activation databases (2019) (0)
- Decoding with Confidence: 1 Statistical Control on Decoder Maps (2021) (0)
- Dictionary Learning for Massive Matrix Factorization Dictionary Learning for Massive Matrix Factorization (2022) (0)
- Anatomo-functional cortical parcellations: how many regions? (2009) (0)
- nipy/nibabel: 3.0.1 (2020) (0)
- Decoding syntactic and prosodic structures from fMRI activity patterns (2019) (0)
- Securing Trustworthy Digital Repositories (2016) (0)
- Software and Platforms - Scikit learn (2013) (0)
- New Results - Connectivity models using population prior (2010) (0)
- New Software and Platforms - Nilearn (2014) (0)
- New Software and Platforms - Nipy (2014) (0)
- New Results - Randomized parcellation-based inference (2013) (0)
- A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic Studies (2012) (0)
- Contracts and Grants with Industry - National Initiatives (2010) (0)
- PER Stability Is Independent of CRY Stability NrCAM, Neuropilin, and Semaphorin Guide Thalamocortical Axons Channelrhodopsin Enables Study of Striatal Connectivity Direct Pathway Neurons Are Primarily Affected In HD Model (2011) (0)
- New Results - Parcel-based random effects analyses (2010) (0)
- Spatially relaxed inference on high-dimensional linear models (2021) (0)
- LEARNING FOR FAST RESTING-STATE FMRI DECOMPOSITION (2016) (0)
- New Results - Joint modelling of anatomical and functional features from neuroimaging data (2009) (0)
- Variability in the analysis of a single neuroimaging dataset by many teams (2020) (0)
- New Results - Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging (2014) (0)
- Software and Platforms - Nilearn (2013) (0)
- Fast clustering for scalable statistical analysis on structured images (2015) (0)
- Variable Importance on Medical Images and Socio-Demographic Data (2022) (0)
- Multimodal Connectivity-Based Parcellation of the Brain (2016) (0)
- Relating Brain Structures To Open-Ended Descriptions Of Cognition (2017) (0)
- Contracts and Grants with Industry - European Initiatives (2010) (0)
- ACCEPTED MANUSCRIPT Very large fMRI study using the IMAGEN database: sensitivity - specificity and population effect modelling in relation to the underlying anatomy (2012) (0)
- A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension (2022) (0)
- Unsupervised Fiber Bundles Registration Using Weighted Measures Geometric Demons (2013) (0)
- New Software and Platforms - Scikit learn (2014) (0)
- Software and Platforms - Nipy (2013) (0)
- University of Groningen Patterns of schizophrenia symptoms (2018) (0)
- Technical Note Mixed-effect statistics for group analysis in fMRI: A nonparametric maximum likelihood approach (2007) (0)
- Software - fMRI toolbox in Brainvisa (2010) (0)
- Model-based extraction of resting-state networks across subjects (2009) (0)
- On the statistics of brain/behavior associations (2023) (0)
- Aligning human subjects with short acquisition-time fMRI training data (2022) (0)
- Python in Neuroscience II (2015) (0)
- Software - Scikit learn (2011) (0)
- FDP control in multivariate linear models using the bootstrap (2022) (0)
- ECKO: Ensemble of Clustered Knockoffs for multivariate inference on fMRI data (2019) (0)
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