| The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2015 | 923 | 2015 |
| Deviance information criteria for missing data models G Celeux, F Forbes, CP Robert, DM Titterington Bayesian analysis 1 (4), 651-673, 2006 | 746 | 2006 |
| Bayesian clustering algorithms ascertaining spatial population structure: a new computer program and a comparison study C Chen, E Durand, F Forbes, O François Molecular Ecology Notes 7 (5), 747-756, 2007 | 657 | 2007 |
| EM procedures using mean field-like approximations for Markov model-based image segmentation G Celeux, F Forbes, N Peyrard Pattern recognition 36 (1), 131-144, 2003 | 361 | 2003 |
| A component-wise EM algorithm for mixtures G Celeux, S Chrétien, F Forbes, A Mkhadri Journal of Computational and Graphical Statistics 10 (4), 697-712, 2001 | 151 | 2001 |
| Rigid and articulated point registration with expectation conditional maximization R Horaud, F Forbes, M Yguel, G Dewaele, J Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (3), 587-602, 2011 | 147 | 2011 |
| Hidden Markov random field model selection criteria based on mean field-like approximations F Forbes, N Peyrard IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (9), 1089-1101, 2003 | 135 | 2003 |
| Multimodal MRI segmentation of ischemic stroke lesions Y Kabir, M Dojat, B Scherrer, F Forbes, C Garbay 2007 29th Annual International Conference of the IEEE Engineering in …, 2007 | 82 | 2007 |
| Distributed local MRF models for tissue and structure brain segmentation B Scherrer, F Forbes, C Garbay, M Dojat IEEE Transactions on Medical Imaging 28 (8), 1278-1295, 2009 | 69 | 2009 |
| Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach L Chaari, T Vincent, F Forbes, M Dojat, P Ciuciu IEEE transactions on Medical Imaging 32 (5), 821-837, 2013 | 60 | 2013 |
| A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering F Forbes, D Wraith Statistics and Computing 24 (6), 971-984, 2014 | 56 | 2014 |
| EM algorithms for weighted-data clustering with application to audio-visual scene analysis ID Gebru, X Alameda-Pineda, F Forbes, R Horaud IEEE transactions on pattern analysis and machine intelligence 38 (12), 2402 …, 2016 | 51 | 2016 |
| Acoustic space learning for sound-source separation and localization on binaural manifolds A Deleforge, F Forbes, R Horaud International journal of neural systems 25 (01), 1440003, 2015 | 45 | 2015 |
| Combining Monte Carlo and mean-field-like methods for inference in hidden Markov random fields F Forbes, G Fort IEEE Transactions on Image Processing 16 (3), 824-837, 2007 | 38 | 2007 |
| An improved CUDA-based implementation of differential evolution on GPU AK Qin, F Raimondo, F Forbes, YS Ong Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 36 | 2012 |
| High-dimensional regression with gaussian mixtures and partially-latent response variables A Deleforge, F Forbes, R Horaud Statistics and Computing 25 (5), 893-911, 2015 | 35 | 2015 |
| Fully automatic brain tumor segmentation from multiple MR sequences using hidden Markov fields and variational EM S Doyle, F Vasseur, M Dojat, F Forbes Procs. NCI-MICCAI BraTS, 18-22, 2013 | 32 | 2013 |
| Finding audio-visual events in informal social gatherings X Alameda-Pineda, V Khalidov, R Horaud, F Forbes Proceedings of the 13th international conference on multimodal interfaces …, 2011 | 32 | 2011 |
| Triplet Markov fields for the classification of complex structure data J Blanchet, F Forbes IEEE transactions on pattern analysis and machine intelligence 30 (6), 1055-1067, 2008 | 32 | 2008 |
| Conjugate mixture models for clustering multimodal data V Khalidov, F Forbes, R Horaud Neural Computation 23 (2), 517-557, 2011 | 31 | 2011 |
Radu Patrice HoraudSenior research scientist, head of the PERCEPTION team, INRIAVerified email at inria.fr