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2020 – today
- 2024
[j1]Alex Fedorov
, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, Girish Mittapalle, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun:
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. NeuroImage 285: 120485 (2024)- [c8]Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani, Aldo Zaimi, Ge Li, Nicolas Pouliot, Julien Beaudry, Gaétan Marceau-Caron:
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset. NeurIPS 2024 - [i12]Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani, Aldo Zaimi, Ge Li, Nicolas Pouliot, Julien Beaudry, Gaétan Marceau Caron:
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset. CoRR abs/2409.20353 (2024) - 2022
- [i11]Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun:
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes. CoRR abs/2209.02876 (2022) - 2021
- [c7]Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio:
CMIM: Cross-Modal Information Maximization For Medical Imaging. ICASSP 2021: 1190-1194 - [c6]Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis:
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease. ICHI 2021: 23-30 - [c5]Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun:
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease. ISBI 2021: 1548-1552 - [c4]Tristan Sylvain, Margaux Luck, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Exploring the Wasserstein metric for time-to-event analysis. SPACA 2021: 194-206 - 2020
- [i10]Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio:
Cross-Modal Information Maximization for Medical Imaging: CMIM. CoRR abs/2010.10593 (2020) - [i9]Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun:
On self-supervised multi-modal representation learning: An application to Alzheimer's disease. CoRR abs/2012.13619 (2020) - [i8]Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis:
Taxonomy of multimodal self-supervised representation learning. CoRR abs/2012.13623 (2020)
2010 – 2019
- 2019
- [c3]Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal:
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRL 2019: 1314-1327 - [i7]Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal:
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRR abs/1910.13249 (2019) - 2018
- [c2]Joseph Paul Cohen, Margaux Luck, Sina Honari:
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. MICCAI (1) 2018: 529-536 - [i6]Joseph Paul Cohen, Margaux Luck, Sina Honari:
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. CoRR abs/1805.08841 (2018) - [i5]Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Learning to rank for censored survival data. CoRR abs/1806.01984 (2018) - [i4]Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen:
A Survey of Mobile Computing for the Visually Impaired. CoRR abs/1811.10120 (2018) - 2017
- [i3]Margaux Luck, Tristan Sylvain, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Deep Learning for Patient-Specific Kidney Graft Survival Analysis. CoRR abs/1705.10245 (2017) - [i2]Margaux Luck, Nicolas Pallet, Cécilia Damon:
Rule-Mining based classification: a benchmark study. CoRR abs/1706.10199 (2017) - 2015
- [c1]Margaux Luck, Anastasia Yartseva, Gildas Bertho, Eric Thervet, Philippe Beaune, Nicolas Pallet, Cécilia Damon:
Metabolic Profiling of 1H NMR Spectra in Chronic Kidney Disease with Local Predictive Modeling. ICMLA 2015: 176-181 - [i1]Luca Talenti, Margaux Luck, Anastasia Yartseva, Nicolas Argy, Sandrine Houzé, Cécilia Damon:
L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria. CoRR abs/1511.06663 (2015)
Coauthor Index
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