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Margaux Luck
Margaux Luck
Mila - Quebec Artificial Intelligence Institute
Zweryfikowany adres z mila.quebec
Tytuł
Cytowane przez
Cytowane przez
Rok
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
3302018
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
1332017
Improving the speed of MRI with artificial intelligence
PM Johnson, MP Recht, F Knoll
Seminars in musculoskeletal radiology 24 (01), 012-020, 2020
572020
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, 138314, 2015
312015
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
252016
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
212021
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
192017
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
172020
How to cure cancer (in images) with unpaired image translation
JP Cohen, M Luck, S Honari
132018
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
132015
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
122018
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
11*2021
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
102018
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
72017
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
72015
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
62020
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
62020
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
42018
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
32021
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
22022
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