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Matthieu Perrot
Matthieu Perrot
L'Oréal
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Cited by
Year
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
872432011
Cortical sulci recognition and spatial normalization
M Perrot, D Rivière, JF Mangin
Medical image analysis 15 (4), 529-550, 2011
1392011
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
1362012
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
1202014
Scikit-learn: Machine learning in Python
D Cournapeau, M Brucher, M Perrot, E Duchesnay
JMLR 12, 2825-2830, 2007
1012007
Duchesnay
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
E.: Scikit-learn: Machine learning in Python. JMLR 12, 2825-2830, 2011
99*2011
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
912011
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
792013
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
752014
Scikit-learn: Machine Learning in Python. arXiv 2012
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
arXiv preprint arXiv:1201.0490, 0
68
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
492011
Morphologist 2012: the new morphological pipeline of BrainVISA
C Fischer, G Operto, S Laguitton, M Perrot, I Denghien, D Rivière, ...
Proc. HBM, 2012
482012
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
432017
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
43
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
372016
Joint Bayesian cortical sulci recognition and spatial normalization
M Perrot, D Rivière, A Tucholka, JF Mangin
Information Processing in Medical Imaging: 21st International Conference …, 2009
272009
Constructing a dictionary of human brain folding patterns
ZY Sun, M Perrot, A Tucholka, D Rivière, JF Mangin
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
252009
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
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
242009
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI
M Dubois, F Hadj-Selem, T Löfstedt, M Perrot, C Fischer, V Frouin, ...
2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014
232014
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
232008
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