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Matthieu Perrot
Matthieu Perrot
L'Oréal
Adresse e-mail validée de loreal.com
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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
595582011
machine learning in Python
S Pedregosa
J. Mach. Learn. Res, 2825, 2011
15002011
Cortical sulci recognition and spatial normalization
M Perrot, D Rivière, JF Mangin
Medical image analysis 15 (4), 529-550, 2011
1162011
The effect of handedness on the shape of the central sulcus
ZY Sun, S Klöppel, D Rivière, M Perrot, R Frackowiak, H Siebner, ...
Neuroimage 60 (1), 332-339, 2012
1142012
Anatomical correlations of the international 10–20 sensor placement system in infants
C Kabdebon, F Leroy, H Simmonet, M Perrot, J Dubois, ...
Neuroimage 99, 342-356, 2014
1062014
Diffeomorphic brain registration under exhaustive sulcal constraints
G Auzias, O Colliot, JA Glaunes, M Perrot, JF Mangin, A Trouve, S Baillet
IEEE transactions on medical imaging 30 (6), 1214-1227, 2011
842011
Scikit-learn: Machine learning in Python
D Cournapeau, M Brucher, M Perrot, E Duchesnay
JMLR 12, 2825-2830, 2007
832007
Model-driven harmonic parameterization of the cortical surface: HIP-HOP
G Auzias, J Lefevre, A Le Troter, C Fischer, M Perrot, J Régis, O Coulon
IEEE transactions on medical imaging 32 (5), 873-887, 2013
702013
A study of cortical morphology in children with fetal alcohol spectrum disorders
F De Guio, JF Mangin, D Rivière, M Perrot, CD Molteno, SW Jacobson, ...
Human brain mapping 35 (5), 2285-2296, 2014
642014
Apathy is related to cortex morphology in CADASIL: A sulcal-based morphometry study
E Jouvent, S Reyes, JF Mangin, P Roca, M Perrot, B Thyreau, D Hervé, ...
Neurology 76 (17), 1472-1477, 2011
432011
Morphologist 2012: the new morphological pipeline of BrainVISA
C Fischer, G Operto, S Laguitton, M Perrot, I Denghien, D Rivière, ...
Proc. HBM, 2012
392012
Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction
S Lefranc, P Roca, M Perrot, C Poupon, D Le Bihan, JF Mangin, D Rivière
Medical image analysis 30, 11-29, 2016
322016
Hyperparameter optimization of deep neural networks: Combining hyperband with Bayesian model selection
H Bertrand, R Ardon, M Perrot, I Bloch
Conférence sur l’Apprentissage Automatique, 2017
312017
a.(2011). Scikit-learn: Machine Learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Journal of machine learning research 12, 2825-283, 0
31
duchesnay E
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Scikit-learn: Machine Learning,” Journal of Machine Learning Research 12 …, 2011
282011
Joint Bayesian cortical sulci recognition and spatial normalization
M Perrot, D Rivière, A Tucholka, JF Mangin
International Conference on Information Processing in Medical Imaging, 176-187, 2009
262009
Probabilistic anatomo-functional parcellation of the cortex: how many regions?
A Tucholka, B Thirion, M Perrot, P Pinel, JF Mangin, JB Poline
International conference on medical image computing and computer-assisted …, 2008
242008
Disco: A coherent diffeomorphic framework for brain registration under exhaustive sulcal constraints
G Auzias, J Glaunes, O Colliot, M Perrot, JF Mangin, A Trouvé, S Baillet
International Conference on Medical Image Computing and Computer-Assisted …, 2009
222009
Constructing a dictionary of human brain folding patterns
ZY Sun, M Perrot, A Tucholka, D Rivière, JF Mangin
International Conference on Medical Image Computing and Computer-Assisted …, 2009
212009
Identifying cortical sulci from localization, shape and local organization
M Perrot, D Riviere, JF Mangin
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
212008
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