Matthieu Perrot
L'Oréal (France)(FR)L'Oreal (United States)(US)
Publications by Year
Research Areas
Functional Brain Connectivity Studies, Medical Image Segmentation Techniques, Computer Graphics and Visualization Techniques, Advanced MRI Techniques and Applications, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Scikit-learn: Machine Learning in Python(2012)63,387 cited
- → Cortical sulci recognition and spatial normalization(2011)140 cited
- → The effect of handedness on the shape of the central sulcus(2011)128 cited
- → A study of cortical morphology in children with fetal alcohol spectrum disorders(2013)64 cited
- → Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction(2016)42 cited
- → Joint Bayesian Cortical Sulci Recognition and Spatial Normalization(2009)25 cited
- → Constructing a Dictionary of Human Brain Folding Patterns(2009)24 cited
- → Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?(2008)19 cited
- Hyperparameter optimization of deep neural networks: combining Hperband with Bayesian model selection(2017)
- → Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI(2014)15 cited