Limits of radiomic-based entropy as a surrogate of tumor heterogeneity: ROI-area, acquisition protocol and tissue site exert substantial influence L Dercle, S Ammari, M Bateson, PB Durand, E Haspinger, C Massard, ... Scientific reports 7 (1), 1-10, 2017 | 43 | 2017 |
Rule-mining for the early prediction of chronic kidney disease based on metabolomics and multi-source data M Luck, G Bertho, M Bateson, A Karras, A Yartseva, E Thervet, C Damon, ... PloS one 11 (11), e0166905, 2016 | 16 | 2016 |
Predictive modeling of tacrolimus dose requirement based on high‐throughput genetic screening C Damon, M Luck, L Toullec, I Etienne, M Buchler, B Hurault de Ligny, ... American Journal of Transplantation 17 (4), 1008-1019, 2017 | 12 | 2017 |
Constrained domain adaptation for segmentation M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 10 | 2019 |
Source-relaxed domain adaptation for image segmentation M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 3 | 2020 |
Gene expression profiling robustly predicts the outcome of patients diagnosed with early stage lung adenocarcinoma Y Gaston-Mathé, C Ferté, B Gautier, NA Bar, M Bateson, D Planchard, ... Poster presented at: Annual Meeting of the American Association of Cancer …, 2014 | 1 | 2014 |
3036 An efficient gene expression signature robustly predicts the outcome of patients diagnosed with stage 1 lung adenocarcinoma M Bateson European Journal of Cancer 51, S608, 2015 | | 2015 |
A Novel Gene Expression Signature that Robustly Predicts the Outcome of Patients Diagnosed with Stage 1 Nsclc M Bateson, C Ferte, Y Gaston-Mathé, J Armand, J Soria Annals of Oncology 25, iv413, 2014 | | 2014 |
Predictive analysis of metabolomics data in chronic kidney disease using a subgroup discovery algorithm M Luck, G Bertho, E Thervet, P Beaune, F d’Ormesson, M Bateson, ... | | |