Search Results - Luck, Margaux

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  1. 1
    Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links

    Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links by Fedorov, Alex, Geenjaar, Eloy, Wu, Lei, Sylvain, Tristan, DeRamus, Thomas P, Luck, Margaux, Misiura, Maria, Mittapalle, Girish, Hjelm, R Devon, Plis, Sergey M, Calhoun, Vince D

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  2. 2
    Rule-Mining for the Early Prediction of Chronic Kidney Disease Based on Metabolomics and Multi-Source Data

    Rule-Mining for the Early Prediction of Chronic Kidney Disease Based on Metabolomics and Multi-Source Data by Luck, Margaux, Bertho, Gildas, Bateson, Mathilde, Karras, Alexandre, Yartseva, Anastasia, Thervet, Eric, Damon, Cecilia, Pallet, Nicolas

    Published in PloS one
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  3. 3
    Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics

    Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics by Luck, Margaux M, Le Moyec, Laurence, Barrey, Eric, Triba, Mohamed N, Bouchemal, Nadia, Savarin, Philippe, Robert, Céline

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  4. 4
    Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm

    Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm by Luck, Margaux, Schmitt, Caroline, Talbi, Neila, Gouya, Laurent, Caradeuc, Cédric, Puy, Hervé, Bertho, Gildas, Pallet, Nicolas

    Published in Metabolomics
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  5. 5
    On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease

    On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease by Fedorov, Alex, Wu, Lei, Sylvain, Tristan, Luck, Margaux, DeRamus, Thomas P., Bleklov, Dmitry, Plis, Sergey M., Calhoun, Vince D.

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  6. 6
    Correction to: Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm

    Correction to: Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm by Luck, Margaux, Schmitt, Caroline, Talbi, Neila, Gouya, Laurent, Caradeuc, Cédric, Puy, Hervé, Bertho, Gildas, Pallet, Nicolas

    Published in Metabolomics
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  7. 7
    CMIM: Cross-Modal Information Maximization For Medical Imaging

    CMIM: Cross-Modal Information Maximization For Medical Imaging by Sylvain, Tristan, Dutil, Francis, Berthier, Tess, Di Jorio, Lisa, Luck, Margaux, Hjelm, Devon, Bengio, Yoshua

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  8. 8
    Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease

    Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease by Fedorov, Alex, Sylvain, Tristan, Geenjaar, Eloy, Luck, Margaux, Wu, Lei, DeRamus, Thomas P., Kirilin, Alex, Bleklov, Dmitry, Calhoun, Vince D., Plis, Sergey M.

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  9. 9
    CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset

    CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset by Arodi, Akshatha, Luck, Margaux, Bedwani, Jean-Luc, Zaimi, Aldo, Li, Ge, Pouliot, Nicolas, Beaudry, Julien, Gaétan Marceau Caron

    Published in arXiv.org
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  10. 10
    Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

    Distribution Matching Losses Can Hallucinate Features in Medical Image Translation by Cohen, Joseph Paul, Luck, Margaux, Honari, Sina

    Published in arXiv.org
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  11. 11
    On self-supervised multi-modal representation learning: An application to Alzheimer's disease

    On self-supervised multi-modal representation learning: An application to Alzheimer's disease by Fedorov, Alex, Wu, Lei, Sylvain, Tristan, Luck, Margaux, DeRamus, Thomas P, Bleklov, Dmitry, Plis, Sergey M, Calhoun, Vince D

    Published in arXiv.org
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  12. 12
    Rule-Mining based classification: a benchmark study

    Rule-Mining based classification: a benchmark study by Luck, Margaux, Pallet, Nicolas, Damon, Cecilia

    Published in arXiv.org
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  13. 13
    Cross-Modal Information Maximization for Medical Imaging: CMIM

    Cross-Modal Information Maximization for Medical Imaging: CMIM by Sylvain, Tristan, Dutil, Francis, Berthier, Tess, Lisa Di Jorio, Luck, Margaux, Hjelm, Devon, Bengio, Yoshua

    Published in arXiv.org
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  14. 14
    Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

    Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes by Fedorov, Alex, Geenjaar, Eloy, Wu, Lei, Sylvain, Tristan, DeRamus, Thomas P, Luck, Margaux, Misiura, Maria, Hjelm, R Devon, Plis, Sergey M, Calhoun, Vince D

    Published in arXiv.org
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  15. 15
    Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease

    Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease by Fedorov, Alex, Sylvain, Tristan, Geenjaar, Eloy, Luck, Margaux, Wu, Lei, DeRamus, Thomas P, Kirilin, Alex, Bleklov, Dmitry, Calhoun, Vince D, Plis, Sergey M

    Published in arXiv.org
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  16. 16
    Deep Learning for Patient-Specific Kidney Graft Survival Analysis

    Deep Learning for Patient-Specific Kidney Graft Survival Analysis by Luck, Margaux, Sylvain, Tristan, Cardinal, Héloïse, Lodi, Andrea, Bengio, Yoshua

    Published in arXiv.org
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  17. 17
    A Survey of Mobile Computing for the Visually Impaired

    A Survey of Mobile Computing for the Visually Impaired by Weiss, Martin, Luck, Margaux, Girgis, Roger, Pal, Chris, Cohen, Joseph Paul

    Published in arXiv.org
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  18. 18
    Learning to rank for censored survival data

    Learning to rank for censored survival data by Luck, Margaux, Sylvain, Tristan, Cohen, Joseph Paul, Cardinal, Heloise, Lodi, Andrea, Bengio, Yoshua

    Published in arXiv.org
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  19. 19
    Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments

    Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments by Weiss, Martin, Chamorro, Simon, Girgis, Roger, Luck, Margaux, Kahou, Samira E, Cohen, Joseph P, Nowrouzezahrai, Derek, Precup, Doina, Golemo, Florian, Pal, Chris

    Published in arXiv.org
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  20. 20
    L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria

    L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria by Talenti, Luca, Luck, Margaux, Yartseva, Anastasia, Argy, Nicolas, Houzé, Sandrine, Damon, Cecilia

    Published in arXiv.org
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