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Matthieu Perrot
Matthieu Perrot
L'Oréal
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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
1005192011
Scikit-learn: Machine learning in python journal of machine learning research
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Journal of machine learning research 12, 2825-2830, 2011
2812011
Cortical sulci recognition and spatial normalization
M Perrot, D Rivière, JF Mangin
Medical image analysis 15 (4), 529-550, 2011
1472011
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
1422012
Scikit-learn: Machine learning in Python
D Cournapeau, M Brucher, M Perrot, E Duchesnay
JMLR 12, 2825-2830, 2007
1362007
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
1222014
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
952011
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
902011
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
812013
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
802014
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
61
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
522017
Morphologist 2012: the new morphological pipeline of BrainVISA
C Fischer, G Operto, S Laguitton, M Perrot, I Denghien, D Rivière, ...
Proc. HBM, 2012
512012
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
512011
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
412016
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
292009
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
262009
Ca-gan: Weakly supervised color aware gan for controllable makeup transfer
R Kips, P Gori, M Perrot, I Bloch
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
252020
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
242014
AgingMapGAN (AMGAN): High-resolution controllable face aging with spatially-aware conditional GANs
J Despois, F Flament, M Perrot
European Conference on Computer Vision, 613-628, 2020
232020
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