Margaux Luck

According to our database1, Margaux Luck authored at least 17 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links.
NeuroImage, January, 2024

2022
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes.
CoRR, 2022

2021
Exploring the Wasserstein metric for time-to-event analysis.
Proceedings of AAAI Symposium on Survival Prediction, 2021

On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

CMIM: Cross-Modal Information Maximization For Medical Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Taxonomy of multimodal self-supervised representation learning.
CoRR, 2020

On self-supervised multi-modal representation learning: An application to Alzheimer's disease.
CoRR, 2020

Cross-Modal Information Maximization for Medical Imaging: CMIM.
CoRR, 2020

2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
A Survey of Mobile Computing for the Visually Impaired.
CoRR, 2018

Learning to rank for censored survival data.
CoRR, 2018

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Deep Learning for Patient-Specific Kidney Graft Survival Analysis.
CoRR, 2017

Rule-Mining based classification: a benchmark study.
CoRR, 2017

2015
L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria.
CoRR, 2015

Metabolic Profiling of 1H NMR Spectra in Chronic Kidney Disease with Local Predictive Modeling.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015


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