Edouard Duchesnay
Edouard Duchesnay
Research Director, NeuroSpin, CEA, Université Paris-Saclay, France
Verified email at - Homepage
Cited by
Cited by
Scikit-learn: Machine learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
the Journal of machine Learning research 12, 2825-2830, 2011
Asynchrony of the early maturation of white matter bundles in healthy infants: quantitative landmarks revealed noninvasively by diffusion tensor imaging
J Dubois, G Dehaene‐Lambertz, M Perrin, JF Mangin, Y Cointepas, ...
Human brain mapping 29 (1), 14-27, 2008
Inverse retinotopy: inferring the visual content of images from brain activation patterns
B Thirion, E Duchesnay, E Hubbard, J Dubois, JB Poline, D Lebihan, ...
Neuroimage 33 (4), 1104-1116, 2006
A framework to study the cortical folding patterns
JF Mangin, D Riviere, A Cachia, E Duchesnay, Y Cointepas, ...
Neuroimage 23, S129-S138, 2004
Cortical folding abnormalities in schizophrenia patients with resistant auditory hallucinations
A Cachia, ML Paillère-Martinot, A Galinowski, D Januel, ...
Neuroimage 39 (3), 927-935, 2008
Object-based morphometry of the cerebral cortex
JF Mangin, D Riviere, A Cachia, E Duchesnay, Y Cointepas, ...
IEEE transactions on medical imaging 23 (8), 968-982, 2004
Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega-and meta-analyses across 3033 individuals
P Favre, M Pauling, J Stout, F Hozer, S Sarrazin, C Abé, M Alda, C Alloza, ...
Neuropsychopharmacology 44 (13), 2285-2293, 2019
Scikit-learn: Machine learning in Python
F Pedegrosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Journal of Machine Learning Research 12, 2825-2830, 2011
Strategic white matter tracts for processing speed deficits in age-related small vessel disease
M Duering, B Gesierich, S Seiler, L Pirpamer, M Gonik, E Hofer, E Jouvent, ...
Neurology 82 (22), 1946-1950, 2014
Longitudinal brain metabolic changes from amnestic mild cognitive impairment to Alzheimer's disease
M Fouquet, B Desgranges, B Landeau, E Duchesnay, F Mézenge, ...
Brain 132 (8), 2058-2067, 2009
A multicenter tractography study of deep white matter tracts in bipolar I disorder: psychotic features and interhemispheric disconnectivity
S Sarrazin, C Poupon, J Linke, M Wessa, M Phillips, M Delavest, ...
JAMA psychiatry 71 (4), 388-396, 2014
Using structural MRI to identify bipolar disorders–13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group
A Nunes, HG Schnack, CRK Ching, I Agartz, TN Akudjedu, M Alda, ...
Molecular psychiatry 25 (9), 2130-2143, 2020
Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares
É Le Floch, V Guillemot, V Frouin, P Pinel, C Lalanne, L Trinchera, ...
Neuroimage 63 (1), 11-24, 2012
Striatal and extrastriatal dopamine transporter in cannabis and tobacco addiction: a high‐resolution PET study
C Leroy, L Karila, JL Martinot, M Lukasiewicz, E Duchesnay, C Comtat, ...
Addiction biology 17 (6), 981-990, 2012
What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group
CRK Ching, DP Hibar, TP Gurholt, A Nunes, SI Thomopoulos, C Abé, ...
Human brain mapping 43 (1), 56-82, 2022
Brain morphometry using 3D moment invariants
JF Mangin, F Poupon, É Duchesnay, D Rivière, A Cachia, DL Collins, ...
Medical Image Analysis 8 (3), 187-196, 2004
Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics
R Maroy, R Boisgard, C Comtat, V Frouin, P Cathier, E Duchesnay, ...
IEEE transactions on medical imaging 27 (3), 342-354, 2008
Scikit-learn: Machine learning in Python
D Cournapeau, M Brucher, M Perrot, E Duchesnay
JMLR 12, 2825-2830, 2007
Determinants of iron accumulation in the normal aging brain
L Pirpamer, E Hofer, B Gesierich, F De Guio, P Freudenberger, S Seiler, ...
Neurobiology of aging 43, 149-155, 2016
Feature selection and classification of imbalanced datasets: application to PET images of children with autistic spectrum disorders
E Duchesnay, A Cachia, N Boddaert, N Chabane, JF Mangin, JL Martinot, ...
Neuroimage 57 (3), 1003-1014, 2011
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