How many bins should be put in a regular histogram L Birgé, Y Rozenholc ESAIM: Probability and Statistics 10, 24-45, 2006 | 196 | 2006 |

Penalized contrast estimator for adaptive density deconvolution F Comte, Y Rozenholc, ML Taupin Canadian Journal of Statistics 34 (3), 431-452, 2006 | 140 | 2006 |

Penalized nonparametric mean square estimation of the coefficients of diffusion processes F Comte, V Genon-Catalot, Y Rozenholc Bernoulli 13 (2), 514-543, 2007 | 116 | 2007 |

Fast patch-based pseudo-CT synthesis from T1-weighted MR images for PET/MR attenuation correction in brain studies A Torrado-Carvajal, JL Herraiz, E Alcain, AS Montemayor, ... Journal of Nuclear Medicine 57 (1), 136-143, 2016 | 89 | 2016 |

Construction and analysis of a head CT-scan database for craniofacial reconstruction F Tilotta, F Richard, J Glaunès, M Berar, S Gey, S Verdeille, Y Rozenholc, ... Forensic science international 191 (1-3), 112. e1-112. e12, 2009 | 80 | 2009 |

Base-position error rate analysis of next-generation sequencing applied to circulating tumor DNA in non-small cell lung cancer: a prospective study N Pécuchet, E Zonta, A Didelot, P Combe, C Thibault, L Gibault, C Lours, ... PLoS medicine 13 (12), e1002199, 2016 | 78 | 2016 |

Analysis of base-position error rate of next-generation sequencing to detect tumor mutations in circulating DNA N Pécuchet, Y Rozenholc, E Zonta, D Pietrasz, A Didelot, P Combe, ... Clinical chemistry 62 (11), 1492-1503, 2016 | 69 | 2016 |

Optimal dyadic decision trees G Blanchard, C Schäfer, Y Rozenholc, KR Müller Machine Learning 66 (2), 209-241, 2007 | 64 | 2007 |

A new algorithm for fixed design regression and denoising F Comte, Y Rozenholc Annals of the Institute of Statistical Mathematics 56 (3), 449-473, 2004 | 58 | 2004 |

A new algorithm for fixed design regression and denoising F Comte, Y Rozenholc Annals of the Institute of Statistical Mathematics 56 (3), 449-473, 2004 | 58 | 2004 |

Adaptive estimation of mean and volatility functions in (auto-) regressive models F Comte, Y Rozenholc Stochastic Processes and their Applications 97 (1), 111-145, 2002 | 57 | 2002 |

Laplace deconvolution on the basis of time domain data and its application to dynamic contrast‐enhanced imaging F Comte, CA Cuenod, M Pensky, Y Rozenholc Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017 | 52* | 2017 |

Craniofacial reconstruction as a prediction problem using a Latent Root Regression model M Berar, FM Tilotta, JA Glaunès, Y Rozenholc Forensic science international 210 (1-3), 228-236, 2011 | 37 | 2011 |

Oracle bounds and exact algorithm for dyadic classification trees G Blanchard, C Schäfer, Y Rozenholc International Conference on Computational Learning Theory, 378-392, 2004 | 37 | 2004 |

Automatic sex determination of skulls based on a statistical shape model L Luo, M Wang, Y Tian, F Duan, Z Wu, M Zhou, Y Rozenholc Computational and mathematical methods in medicine 2013, 2013 | 36 | 2013 |

Finite sample penalization in adaptive density deconvolution F Comte, Y Rozenholc, ML Taupin Journal of Statistical Computation and Simulation 77 (11), 977-1000, 2007 | 35 | 2007 |

Combining regular and irregular histograms by penalized likelihood Y Rozenholc, T Mildenberger, U Gather Computational statistics & data analysis 54 (12), 3313-3323, 2010 | 34 | 2010 |

A local technique based on vectorized surfaces for craniofacial reconstruction FM Tilotta, JA Glaunès, FJP Richard, Y Rozenholc Forensic science international 200 (1-3), 50-59, 2010 | 31 | 2010 |

Fast estimation of posterior probabilities in change-point analysis through a constrained hidden Markov model TM Luong, Y Rozenholc, G Nuel Computational Statistics & Data Analysis 68, 129-140, 2013 | 30 | 2013 |

Fast estimation of posterior probabilities in change-point analysis through a constrained hidden Markov model TM Luong, Y Rozenholc, G Nuel Computational Statistics & Data Analysis 68, 129-140, 2013 | 30 | 2013 |