Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Émilie Chouzenoux"'
Autor:
Marie-Caroline, Corbineau, Denis, Kouamé, Emilie, Chouzenoux, Jean-Yves, Tourneret, Jean-Christophe, Pesquet
Publikováno v:
In IEEE Signal Processing Letters, vol.26, no.10, pp.1456-1460 (2019)
Joint deconvolution and segmentation of ultrasound images is a challenging problem in medical imaging. By adopting a hierarchical Bayesian model, we propose an accelerated Markov chain Monte Carlo scheme where the tissue reflectivity function is samp
Externí odkaz:
http://arxiv.org/abs/1903.08111
Stochastic approximation techniques play an important role in solving many problems encountered in machine learning or adaptive signal processing. In these contexts, the statistics of the data are often unknown a priori or their direct computation is
Externí odkaz:
http://arxiv.org/abs/1512.08722
Autor:
Alexandre Bône, Samy Ammari, Yves Menu, Corinne Balleyguier, Eric Moulton, Émilie Chouzenoux, Andreas Volk, Gabriel C.T.E. Garcia, François Nicolas, Philippe Robert, Marc-Michel Rohé, Nathalie Lassau
Publikováno v:
Investigative Radiology. 57:527-535
The aim of this study was to evaluate a deep learning method designed to increase the contrast-to-noise ratio in contrast-enhanced gradient echo T1-weighted brain magnetic resonance imaging (MRI) acquisitions. The processed images are quantitatively
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract The year 2020 witnessed a heavy death toll due to COVID-19, calling for a global emergency. The continuous ongoing research and clinical trials paved the way for vaccines. But, the vaccine efficacy in the long run is still questionable due t
Externí odkaz:
https://doaj.org/article/b7fdb8c0e2824ee287e9d4362e0d9610
Autor:
Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, Hugo Gortais, Paul Herent, Matthieu Devilder, Samer Soliman, Olivier Meyrignac, Marie-Pauline Talabard, Jean-Philippe Lamarque, Remy Dubois, Nicolas Loiseau, Paul Trichelair, Etienne Bendjebbar, Gabriel Garcia, Corinne Balleyguier, Mansouria Merad, Annabelle Stoclin, Simon Jegou, Franck Griscelli, Nicolas Tetelboum, Yingping Li, Sagar Verma, Matthieu Terris, Tasnim Dardouri, Kavya Gupta, Ana Neacsu, Frank Chemouni, Meriem Sefta, Paul Jehanno, Imad Bousaid, Yannick Boursin, Emmanuel Planchet, Mikael Azoulay, Jocelyn Dachary, Fabien Brulport, Adrian Gonzalez, Olivier Dehaene, Jean-Baptiste Schiratti, Kathryn Schutte, Jean-Christophe Pesquet, Hugues Talbot, Elodie Pronier, Gilles Wainrib, Thomas Clozel, Fabrice Barlesi, Marie-France Bellin, Michael G. B. Blum
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
The SARS-COV-2 pandemic has put pressure on intensive care units, so that predicting severe deterioration early is a priority. Here, the authors develop a multimodal severity score including clinical and imaging features that has significantly improv
Externí odkaz:
https://doaj.org/article/76a7a97e4e24414e8fad1e1e8183cf07
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-32 (2020)
Abstract This work proposes an unsupervised fusion framework based on deep convolutional transform learning. The great learning ability of convolutional filters for data analysis is well acknowledged. The success of convolutive features owes to the c
Externí odkaz:
https://doaj.org/article/c391082765994db5997e065f99108da6
Autor:
Samy Ammari, Stephanie Pitre-Champagnat, Laurent Dercle, Emilie Chouzenoux, Salma Moalla, Sylvain Reuze, Hugues Talbot, Tite Mokoyoko, Joya Hadchiti, Sebastien Diffetocq, Andreas Volk, Mickeal El Haik, Sara Lakiss, Corinne Balleyguier, Nathalie Lassau, Francois Bidault
Publikováno v:
Frontiers in Oncology, Vol 10 (2021)
BackgroundThe development and clinical adoption of quantitative imaging biomarkers (radiomics) has established the need for the identification of parameters altering radiomics reproducibility. The aim of this study was to assess the impact of magneti
Externí odkaz:
https://doaj.org/article/1391eb8cf50d47b093b6d9f6f58576d3
Autor:
Samy Ammari, Raoul Sallé de Chou, Corinne Balleyguier, Emilie Chouzenoux, Mehdi Touat, Arnaud Quillent, Sarah Dumont, Sophie Bockel, Gabriel C. T. E. Garcia, Mickael Elhaik, Bidault Francois, Valentin Borget, Nathalie Lassau, Mohamed Khettab, Tarek Assi
Publikováno v:
Diagnostics, Vol 11, Iss 11, p 2043 (2021)
Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival outcomes in GBM patients could represent a huge step in treatment personalization. The object
Externí odkaz:
https://doaj.org/article/3428d18c49c14d4880c655f172cab863
Autor:
Samy Ammari, Raoul Sallé de Chou, Tarek Assi, Mehdi Touat, Emilie Chouzenoux, Arnaud Quillent, Elaine Limkin, Laurent Dercle, Joya Hadchiti, Mickael Elhaik, Salma Moalla, Mohamed Khettab, Corinne Balleyguier, Nathalie Lassau, Sarah Dumont, Cristina Smolenschi
Publikováno v:
Diagnostics, Vol 11, Iss 7, p 1263 (2021)
Anti-angiogenic therapy with bevacizumab is a widely used therapeutic option for recurrent glioblastoma (GBM). Nevertheless, the therapeutic response remains highly heterogeneous among GBM patients with discordant outcomes. Recent data have shown tha
Externí odkaz:
https://doaj.org/article/429e35dc49b54b0099d29cf4b9a4fda7
Publikováno v:
Journal of Imaging, Vol 7, Iss 3, p 58 (2021)
Over the last decade, the combination of compressed sensing (CS) with acquisition over multiple receiver coils in magnetic resonance imaging (MRI) has allowed the emergence of faster scans while maintaining a good signal-to-noise ratio (SNR). Self-ca
Externí odkaz:
https://doaj.org/article/49d5f8b70d33415d9a8fba74a9d9b8a4