| Distribution matching losses can hallucinate features in medical image translation JP Cohen, M Luck, S Honari Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 308 | 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 | 128 | 2017 |
| Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics MM Luck, L Le Moyec, E Barrey, MN Triba, N Bouchemal, P Savarin, ... Frontiers in Physiology 6, 198, 2015 | 30 | 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 | 24 | 2016 |
| On self-supervised multimodal representation learning: an application to Alzheimer¢s disease A Fedorov, L Wu, T Sylvain, M Luck, TP DeRamus, D Bleklov, SM Plis, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1548-1552, 2021 | 19 | 2021 |
| 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 | 18 | 2020 |
| Predictive modeling of tacrolimus dose requirement based on high-throughput genetic screening C Damon, M Luck, L Toullec, I Etienne, M Buchler, BH de Ligny, ... American Journal of Transplantation 17 (4), 1008-1019, 2017 | 18 | 2017 |
| How to cure cancer (in images) with unpaired image translation JP Cohen, M Luck, S Honari | 13 | 2018 |
| 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 | 12 | 2018 |
| 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, 1-8, 2018 | 12 | 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 | 12 | 2015 |
| Deep learning for patient-specific kidney graft survival analysis. arXiv 2017 M Luck, T Sylvain, H Cardinal, A Lodi, Y Bengio arXiv preprint arXiv:1705.10245, 2020 | 9 | 2020 |
| 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 | 7 | 2015 |
| Self-supervised multimodal domino: in search of biomarkers for alzheimer¢s disease A Fedorov, T Sylvain, E Geenjaar, M Luck, L Wu, TP DeRamus, A Kirilin, ... 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 23-30, 2021 | 6* | 2021 |
| Héloıse Cardinal, Andrea Lodi, and Yoshua Bengio M Luck, T Sylvain, JP Cohen Deep learning for patient-specific kidney graft survival analysis. CoRR, abs …, 2017 | 6 | 2017 |
| 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 | 5 | 2020 |
| Cmim: Cross-modal information maximization for medical imaging T Sylvain, F Dutil, T Berthier, L Di Jorio, M Luck, D Hjelm, Y Bengio ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| 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 | 3 | 2018 |
| Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes A Fedorov, E Geenjaar, L Wu, T Sylvain, TP DeRamus, M Luck, M Misiura, ... arXiv preprint arXiv:2209.02876, 2022 | 2 | 2022 |
| Rule-Mining based classification: a benchmark study M Luck, N Pallet, C Damon arXiv preprint arXiv:1706.10199, 2017 | 2 | 2017 |
Tristan SylvainBorealis AIVerified email at umontreal.ca
