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Emilie Chouzenoux
Emilie Chouzenoux
Full researcher, Inria Saclay, France
Verified email at centralesupelec.fr - Homepage
Title
Cited by
Cited by
Year
Variable metric forward–backward algorithm for minimizing the sum of a differentiable function and a convex function
E Chouzenoux, JC Pesquet, A Repetti
Journal of Optimization Theory and Applications 162 (1), 107-132, 2014
2662014
A block coordinate variable metric forward–backward algorithm
E Chouzenoux, JC Pesquet, A Repetti
Journal of Global Optimization 66 (3), 457-485, 2016
2282016
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
Nature communications 12 (1), 1-11, 2021
1912021
A survey of stochastic simulation and optimization methods in signal processing
M Pereyra, P Schniter, E Chouzenoux, JC Pesquet, JY Tourneret, ...
IEEE Journal of Selected Topics in Signal Processing 10 (2), 224-241, 2015
1712015
A Majorize-Minimize Subspace Approach for Image Regularization
E Chouzenoux, A Jezierska, JC Pesquet, H Talbot
SIAM Journal on Imaging Sciences 6 (1), 563-591, 2013
1582013
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed Regularization
A Repetti, MQ Pham, L Duval, E Chouzenoux, JC Pesquet
IEEE signal processing letters 22 (5), 539-543, 2014
1572014
Deep unfolding of a proximal interior point method for image restoration
C Bertocchi, E Chouzenoux, MC Corbineau, JC Pesquet, M Prato
Inverse Problems 36 (3), 034005, 2020
1322020
A convex approach for image restoration with exact Poisson--Gaussian likelihood
E Chouzenoux, A Jezierska, JC Pesquet, H Talbot
SIAM Journal on Imaging Sciences 8 (4), 2662-2682, 2015
111*2015
Blind Kalman filtering for short-term load forecasting
S Sharma, A Majumdar, V Elvira, E Chouzenoux
IEEE Transactions on Power Systems 35 (6), 4916-4919, 2020
1012020
A majorize–minimize strategy for subspace optimization applied to image restoration
E Chouzenoux, J Idier, S Moussaoui
IEEE Transactions on Image Processing 20 (6), 1517-1528, 2010
1002010
Efficient maximum entropy reconstruction of nuclear magnetic resonance T1-T2 spectra
E Chouzenoux, S Moussaoui, J Idier, F Mariette
IEEE Transactions on Signal Processing 58 (12), 6040-6051, 2010
892010
Simulated annealing: A review and a new scheme
T Guilmeau, E Chouzenoux, V Elvira
2021 IEEE statistical signal processing workshop (SSP), 101-105, 2021
722021
Fast constrained least squares spectral unmixing using primal-dual interior-point optimization
E Chouzenoux, M Legendre, S Moussaoui, J Idier
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
652013
Impact of preprocessing and harmonization methods on the removal of scanner effects in brain MRI radiomic features
Y Li, S Ammari, C Balleyguier, N Lassau, E Chouzenoux
Cancers 13 (12), 3000, 2021
632021
A primal-dual proximal splitting approach for restoring data corrupted with Poisson-Gaussian noise
A Jezierska, E Chouzenoux, JC Pesquet, H Talbot
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
572012
Deep latent factor model for collaborative filtering
A Mongia, N Jhamb, E Chouzenoux, A Majumdar
Signal Processing 169, 107366, 2020
552020
A stochastic majorize-minimize subspace algorithm for online penalized least squares estimation
E Chouzenoux, JC Pesquet
IEEE Transactions on Signal Processing 65 (18), 4770-4783, 2017
532017
A majorize-minimize memory gradient method for complex-valued inverse problems
A Florescu, E Chouzenoux, JC Pesquet, P Ciuciu, S Ciochina
Signal Processing 103, 285-295, 2014
512014
Radiomics-based method for predicting the glioma subtype as defined by tumor grade, IDH mutation, and 1p/19q codeletion
Y Li, S Ammari, L Lawrance, A Quillent, T Assi, N Lassau, E Chouzenoux
Cancers 14 (7), 1778, 2022
422022
A variational Bayesian approach for image restoration—Application to image deblurring with Poisson–Gaussian noise
Y Marnissi, Y Zheng, E Chouzenoux, JC Pesquet
IEEE Transactions on Computational Imaging 3 (4), 722-737, 2017
422017
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