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hal-01615015v1
Journal articles
FReM – scalable and stable decoding with fast regularized ensemble of models NeuroImage, Elsevier, 2017, pp.1-16. ⟨10.1016/j.neuroimage.2017.10.005⟩ |
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inserm-02090676v3
Journal articles
A sparse EEG-informed fMRI model for hybrid EEG-fMRI neurofeedback prediction Frontiers in Neuroscience, Frontiers, 2020, 13, ⟨10.3389/fnins.2019.01451⟩ |
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hal-00738438v1
Conference papers
Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets Machine Learning in Medical Imaging - Miccai 2012 workshop, Oct 2012, Nice, France. pp.207-214 |
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hal-00734911v2
Conference papers
Improving accuracy and power with transfer learning using a meta-analytic database MICCAI, Oct 2012, Nice, France. pp.1-8 |
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hal-00853108v1
Conference papers
Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Kensaku Mori, Sep 2013, Nagoya, Japan |
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hal-00730768v1
Conference papers
Decoding Visual Percepts Induced by Word Reading with fMRI Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, Jul 2012, Londres, United Kingdom. pp.13-16, ⟨10.1109/PRNI.2012.20⟩ |
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hal-00728765v1
Conference papers
On spatial selectivity and prediction across conditions with fMRI PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. pp.53-56 |
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hal-00833953v1
Conference papers
Robust Group-Level Inference in Neuroimaging Genetic Studies Pattern Recognition in Neuroimaging, Jun 2013, Philadelphie, United States |
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hal-00753142v1
Conference papers
A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding MLINI - Machine Learning and Interpretation in Neuroimaging - 2011, Dec 2011, Sierra Nevada, Spain. pp.1-8, ⟨10.1007/978-3-642-34713-9_1⟩ |
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hal-01015173v1
Conference papers
Principal Component Regression predicts functional responses across individuals MICCAI, Sep 2014, Boston, United States |
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hal-02265308v1
Journal articles
Disrupted core-periphery structure of multimodal brain networks in Alzheimer’s disease Network Neuroscience, MIT Press, 2019, 3 (2), pp.635-652. ⟨10.1162/netn_a_00087⟩ |
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tel-01598667v1
Theses
Combining EEG and FMRI for Neurofeedback Human-Computer Interaction [cs.HC]. University of Rennes I, 2017. English |
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hal-02387408v1
Conference papers
The use of haptic feedback in Brain-Computer Interfaces and Neurofeedback CORTICO 2019 - Journée Jeunes Chercheurs en Interfaces Cerveau-Ordinateur et Neurofeedback, Mar 2019, Lille, France |
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hal-00705192v1
Conference papers
Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering International Conference on Machine Learning, Andrew McCallum, Jun 2012, Edimbourg, United Kingdom |
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hal-00726656v1
Conference papers
Connectivity-informed Sparse Classifiers for fMRI Brain Decoding Pattern Recognition in Neuroimaging, Christos Davatzikos, Moritz Grosse-Wentrup, Janaina Mourao-Miranda, Dimitri Van De Ville, Jul 2012, London, United Kingdom |
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inria-00615951v1
Conference papers
A multisubject anatomo-functional parcellation of the brain NeuroImage (HBM'03), 2003, New York, USA, United States |
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inria-00615953v1
Conference papers
Should fMRI data be analyzed using a single BOLD response model across regions? NeuroImage (HBM'03), 2003, New York, USA, United States |
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hal-00841502v1
Conference papers
Cohort-level brain mapping: learning cognitive atoms to single out specialized regions IPMI - Information Processing in Medical Imaging - 2013, William M. Wells, Sarang Joshi, Kilian M. Pohl, Jun 2013, Asilomar, United States. pp.438-449, ⟨10.1007/978-3-642-38868-2_37⟩ |
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inria-00626857v1
Conference papers
Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant Medical Image Computing and Computer Assisted Intervention, Sep 2011, Toronto, Canada. pp. 264-271, ⟨10.1007/978-3-642-23626-6_33⟩ |
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hal-02467344v1
Journal articles
Predictive pattern classification can distinguish gender identity subtypes from behavior and brain imaging Cerebral Cortex, Oxford University Press (OUP), 2020 |
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inserm-01932954v1
Poster communications
Bimodal EEG-fMRI Neurofeedback for stroke rehabilitation ISPRM 2018 -International Society of Physical and Rehabilitation Medicine, Jul 2018, Paris, France |
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hal-00839984v1
Conference papers
Identifying predictive regions from fMRI with TV-L1 prior Pattern Recognition in Neuroimaging (PRNI), Jun 2013, Philadelphia, United States |
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inria-00615639v1
Journal articles
Functional connectivity: studying nonlinear, delayed interactions between BOLD signals NeuroImage, Elsevier, 2003, 20 (2), pp.962--974 |
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inria-00615954v1
Conference papers
Delineation of the basal ganglia in MR images of patients by automatic registration of a multimodal atlas based on histological and MR data NeuroImage (HBM'03), 2003, New York, USA, United States |
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inria-00615952v1
Conference papers
Functional connectivity: studying non-linear, asynchronous interactions between BOLD signals NeuroImage (HBM'03), 2003, New York, USA, United States |
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hal-01426182v1
Poster communications
EEG-fMRI neurofeedback of a motor imagery task Organization for Human Brain Mapping, Jun 2016, Genève, Switzerland |
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hal-00504093v1
Conference papers
Adaptive multi-class Bayesian sparse regression - An application to brain activity classification MICCAI 2009: fMRI data analysis workshop - Medical Image Computing and Computer Aided Intervention, Sep 2009, London, United Kingdom. pp.1 |
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inria-00070260v1
Reports
EEG-fMRI fusion of non-triggered data using Kalman filtering [Research Report] RR-5760, INRIA. 2005, pp.11 |
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hal-00753132v1
Conference papers
Statistical Learning for Resting-State fMRI: Successes and Challenges Machine Learning and Interpretation in Neuroimaging, NIPS workshop, Dec 2011, Sierra Nevada, Spain. pp.172-177, ⟨10.1007/978-3-642-34713-9_22⟩ |
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