| Citrulline/malate promotes aerobic energy production in human exercising muscle D Bendahan, JP Mattei, B Ghattas, S Confort-Gouny, ME Le Guern, ... British journal of sports medicine 36 (4), 282-289, 2002 | 336 | 2002 |
| A review of supervised machine learning algorithms and their applications to ecological data C Crisci, B Ghattas, G Perera Ecological Modelling 240, 113-122, 2012 | 303 | 2012 |
| Multimodal MR Imaging (Diffusion, Perfusion, and Spectroscopy): Is It Possible To Distinguish Oligodendroglial Tumor Grade and 1p/19q Codeletion in the Pretherapeutic Diagnosis? S Fellah, D Caudal, AM De Paula, P Dory-Lautrec, D Figarella-Branger, ... American Journal of Neuroradiology 34 (7), 1326-33, 2013 | 126 | 2013 |
| Interpretable clustering using unsupervised binary trees R Fraiman, B Ghattas, M Svarc Advances in Data Analysis and Classification 7, 125-145, 2013 | 103 | 2013 |
| Classifying densities using functional regression trees: Applications in oceanology D Nerini, B Ghattas Computational Statistics & Data Analysis 51 (10), 4984-4993, 2007 | 93 | 2007 |
| A noninvasive investigation of muscle energetics supports similarities between exertional heat stroke and malignant hyperthermia D Bendahan, G Kozak-Ribbens, S Confort-Gouny, B Ghattas, ... Anesthesia and Analgesia 93 (3), 683-689, 2001 | 72 | 2001 |
| Using the random forest method to detect a response shift in the quality of life of multiple sclerosis patients: a cohort study M Boucekine, A Loundou, K Baumstarck, P Minaya-Flores, J Pelletier, ... BMC medical research methodology 13, 1-8, 2013 | 51 | 2013 |
| Extra Forces induced by wide-pulse, high-frequency electrical stimulation: Occurrence, magnitude, variability and underlying mechanisms J Wegrzyk, A Fouré, C Vilmen, B Ghattas, NA Maffiuletti, JP Mattei, ... Clinical Neurophysiology 126 (7), 1400-1412, 2015 | 50 | 2015 |
| Muscle quantitative MR imaging and clustering analysis in patients with facioscapulohumeral muscular dystrophy type 1 E Lareau-Trudel, A Le Troter, B Ghattas, J Pouget, S Attarian, ... PLoS One 10 (7), e0132717, 2015 | 49 | 2015 |
| Clustering nominal data using unsupervised binary decision trees: Comparisons with the state of the art methods B Ghattas, P Michel, L Boyer Pattern Recognition 67, 177-185, 2017 | 48 | 2017 |
| Sélection de variables pour la classification binaire en grande dimension: comparaisons et application aux données de biopuces B Ghattas, A Ben Ishak Journal de la Société française de statistique & Revue de statistique …, 2008 | 37 | 2008 |
| The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types M Koob, N Girard, B Ghattas, S Fellah, S Confort-Gouny, ... Journal of neuro-oncology 127, 345-353, 2016 | 36 | 2016 |
| Prévision des pics d'ozone par arbres simples et agrégés par bootstrap B Ghattas Revue de Statistique Appliquée,, 61-80., 1999 | 33* | 1999 |
| Multi-model approach to predict phytoplankton biomass and composition dynamics in a eutrophic shallow lake governed by extreme meteorological events C Crisci, R Terra, JP Pacheco, B Ghattas, M Bidegain, G Goyenola, ... Ecological Modelling 360, 80-93, 2017 | 32 | 2017 |
| Metabolic determinants of the onset of acidosis in exercising human muscle: a 31P-MRS study M Roussel, JP Mattei, Y Le Fur, B Ghattas, PJ Cozzone, D Bendahan Journal of Applied Physiology 94 (3), 1145-1152, 2003 | 32 | 2003 |
| Exploring the response shift effect on the quality of life of patients with schizophrenia: An application of the random forest method M Boucekine, L Boyer, K Baumstarck, A Millier, B Ghattas, P Auquier, ... Medical Decision Making 35 (3), 388-397, 2015 | 30 | 2015 |
| Medical image segmentation automatic quality control: A multi-dimensional approach J Fournel, A Bartoli, D Bendahan, M Guye, M Bernard, E Rauseo, ... Medical Image Analysis 74, 102213, 2021 | 29 | 2021 |
| The disparate nature of “intergenic” polyadenylation sites F Lopez, S Granjeaud, T Ara, B Ghattas, D Gautheret Rna 12 (10), 1794-1801, 2006 | 28 | 2006 |
| Agrégation d'arbres de classification B Ghattas Revue de Statistique Appliquée, 85-98, 2000 | 26 | 2000 |
| OLOGRAM: determining significance of total overlap length between genomic regions sets Q Ferré, G Charbonnier, N Sadouni, F Lopez, Y Kermezli, S Spicuglia, ... Bioinformatics 36 (6), 1920-1922, 2020 | 24 | 2020 |
Pierre MichelAix Marseille Université在 univ-amu.fr 的电子邮件经过验证
