| Distribution matching losses can hallucinate features in medical image translation JP Cohen, M Luck, S Honari International conference on medical image computing and computer-assisted …, 2018 | 108 | 2018 |
| Deep learning for patient-specific kidney graft survival analysis M Luck, T Sylvain, H Cardinal, A Lodi, Y Bengio arXiv preprint arXiv:1705.10245, 2017 | 67 | 2017 |
| Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics MMH Luck, L Le Moyec, E Barrey, MN Triba, N Bouchemal, P Savarin, ... Frontiers in physiology 6, 198, 2015 | 18 | 2015 |
| 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 | 17 | 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 |
| A survey of mobile computing for the visually impaired M Weiss, M Luck, R Girgis, C Pal, JP Cohen arXiv preprint arXiv:1811.10120, 2018 | 8 | 2018 |
| Metabolic profiling of 1H NMR spectra in chronic kidney disease with local predictive modeling MM Luck, A Yartseva, G Bertho, E Thervet, P Beaune, N Pallet, C Damon 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 8 | 2015 |
| Navigation agents for the visually impaired: A sidewalk simulator and experiments M Weiss, S Chamorro, R Girgis, M Luck, SE Kahou, JP Cohen, ... Conference on Robot Learning, 1314-1327, 2020 | 6 | 2020 |
| How to cure cancer (in images) with unpaired image translation JP Cohen, M Luck, S Honari International Conference on Medical Imaging with Deep Learning (MIDL 2018 …, 2018 | 5 | 2018 |
| L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria L Talenti, M Luck, A Yartseva, N Argy, S Houzé, C Damon arXiv preprint arXiv:1511.06663, 2015 | 4 | 2015 |
| Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm M Luck, C Schmitt, N Talbi, L Gouya, C Caradeuc, H Puy, G Bertho, ... Metabolomics 14 (1), 1-8, 2018 | 2 | 2018 |
| Rule-Mining based classification: a benchmark study M Luck, N Pallet, C Damon arXiv preprint arXiv:1706.10199, 2017 | 1 | 2017 |
| On self-supervised multi-modal representation learning: An application to Alzheimer's disease A Fedorov, L Wu, T Sylvain, M Luck, TP DeRamus, D Bleklov, SM Plis, ... arXiv preprint arXiv:2012.13619, 2020 | | 2020 |
| Taxonomy of multimodal self-supervised representation learning A Fedorov, T Sylvain, M Luck, L Wu, TP DeRamus, A Kirilin, D Bleklov, ... arXiv preprint arXiv:2012.13623, 2020 | | 2020 |
| Cross-Modal Information Maximization for Medical Imaging: CMIM T Sylvain, F Dutil, T Berthier, L Di Jorio, M Luck, D Hjelm, Y Bengio arXiv preprint arXiv:2010.10593, 2020 | | 2020 |
| Learning to rank for censored survival data M Luck, T Sylvain, JP Cohen, H Cardinal, A Lodi, Y Bengio arXiv preprint arXiv:1806.01984, 2018 | | 2018 |
| ETUDE DE LA VARIABILITÉ INTERINDIVIDUELLE DE LA RÉPONSE PHARMACOCINÉTIQUE AU TACROLIMUS PAR UN SCREENING GÉNÉTIQUE À HAUT DÉBIT: O34 C Damond, M Luck, G Choukroun, J Subra, C Legendre, M Buchler, ... Transplant International 29, 2016 | | 2016 |
| STUDY OF INTER-INDIVIDUAL VARIABILITY IN RESPONSE PHARMACOKINETICS TO TACROLIMUS BY A HIGH THROUGHPUT GENETIC SCREENING C Damond, M Luck, G Choukroun, JF Subra, C Legendre, M Buchler, ... TRANSPLANT INTERNATIONAL 29, 9-9, 2016 | | 2016 |
| NMR metabolomics in young endurance horses M Luck, N Bouchemal, MN Triba, C Robert, E Barrey, L Le Moyec 8. Journées Scientifiques du Réseau Français de Métabolomique et Fluxomique …, 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, ... | | |
Joseph Paul CohenPostdoctoral Fellow, AIMI (Stanford University) + Mila (Quebec AI Institute)Verified email at stanford.edu
