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Philippe Pinel
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2020 – today
- 2024
- [b1]Philippe Pinel:
Docking and Machine Learning approaches to explore new scaffolds for molecules of therapeutic interest. (Approches de docking et de Machine Learning pour l'exploration de nouveaux « scaffolds » lors de la recherche de molécules d'intérêt thérapeutique). PSL University, Paris, France, 2024 - [j11]Gwenn Guichaoua
, Philippe Pinel
Drug-Target Interactions Prediction at Scale: The Komet Algorithm with the LCIdb Dataset. J. Chem. Inf. Model. 64(18): 6938-6956 (2024)
2010 – 2019
- 2019
- [j10]Philippe Pinel
The functional database of the ARCHI project: Potential and perspectives. NeuroImage 197: 527-543 (2019) - 2017
- [j9]Dimitri Papadopoulos-Orfanos, Vincent Michel, Yannick Schwartz, Philippe Pinel, Antonio Moreno, Denis Le Bihan, Vincent Frouin:
The Brainomics/Localizer database. NeuroImage 144: 309-314 (2017) - 2014
- [c10]Bertrand Thirion, Gaël Varoquaux
Principal Component Regression Predicts Functional Responses across Individuals. MICCAI (2) 2014: 741-748 - 2013
- [j8]Philippe Pinel
Genetic and environmental contributions to brain activation during calculation. NeuroImage 81: 306-316 (2013) - [c9]Gaël Varoquaux
Cohort-Level Brain Mapping: Learning Cognitive Atoms to Single Out Specialized Regions. IPMI 2013: 438-449 - [c8]Jordi Puig, Andrew Perkis
The neuroscience social network project. SIGGRAPH ASIA Posters 2013: 20 - 2012
- [j7]Edith Le Floch
Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. NeuroImage 63(1): 11-24 (2012) - [c7]Edith Le Floch, Philippe Pinel, Arthur Tenenhaus, Laura Trinchera
Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares. ISBI 2012: 1503-1506 - [c6]Yannick Schwartz, Gaël Varoquaux, Christophe Pallier, Philippe Pinel, Jean-Baptiste Poline, Bertrand Thirion:
Improving Accuracy and Power with Transfer Learning Using a Meta-analytic Database. MICCAI (3) 2012: 248-255 - 2010
- [j6]Philippe Pinel
Beyond Hemispheric Dominance: Brain Regions Underlying the Joint Lateralization of Language and Arithmetic to the Left Hemisphere. J. Cogn. Neurosci. 22(1): 48-66 (2010) - [j5]Gaël Varoquaux
A group model for stable multi-subject ICA on fMRI datasets. NeuroImage 51(1): 288-299 (2010)
2000 – 2009
- 2009
- [j4]Jessica F. Cantlon
The Neural Development of an Abstract Concept of Number. J. Cogn. Neurosci. 21(11): 2217-2229 (2009) - 2008
- [c5]Alan Tucholka, Bertrand Thirion, Philippe Pinel, Jean-Baptiste Poline, Jean-François Mangin:
Triangulating cortical functional networks with anatomical landmarks. ISBI 2008: 612-615 - [c4]Alan Tucholka, Bertrand Thirion, Matthieu Perrot, Philippe Pinel, Jean-François Mangin, Jean-Baptiste Poline:
Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?. MICCAI (2) 2008: 399-406 - 2007
- [j3]Bertrand Thirion, Philippe Pinel, Sébastien Mériaux
Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses. NeuroImage 35(1): 105-120 (2007) - [j2]Bertrand Thirion, Philippe Pinel, Alan Tucholka
Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies. IEEE Trans. Medical Imaging 26(9): 1256-1269 (2007) - [c3]Bertrand Thirion, Alan Tucholka, Merlin Keller, Philippe Pinel, Alexis Roche
High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models. IPMI 2007: 482-494 - 2005
- [c2]Bertrand Thirion, Philippe Pinel, Jean-Baptiste Poline:
Finding Landmarks in the Functional Brain: Detection and Use for Group Characterization. MICCAI (2) 2005: 476-483 - 2004
- [c1]Alexis Roche
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series. MICCAI (2) 2004: 719-726 - 2001
- [j1]Philippe Pinel
Modulation of Parietal Activation by Semantic Distance in a Number Comparison Task. NeuroImage 14(5): 1013-1026 (2001)
Coauthor Index
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