Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chi-Hieu Pham"'
Autor:
Ikram Eddahmani, Chi-Hieu Pham, Thibault Napoléon, Isabelle Badoc, Jean-Rassaire Fouefack, Marwa El-Bouz
Publikováno v:
Sensors, Vol 23, Iss 4, p 2362 (2023)
In recent years, the rapid development of deep learning approaches has paved the way to explore the underlying factors that explain the data. In particular, several methods have been proposed to learn to identify and disentangle these underlying expl
Externí odkaz:
https://doaj.org/article/4f43be2e580341dfb7c37da21f128167
Publikováno v:
Journal of Mathematical Imaging and Vision. 64:569-585
Autoencoders and generative models produce some of the most spectacular deep learning results to date. However, understanding and controlling the latent space of these models presents a considerable challenge. Drawing inspiration from principal compo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7c79c6a70ad867818f20383f7308afe
https://doi.org/10.1007/s10851-022-01077-z
https://doi.org/10.1007/s10851-022-01077-z
Akademický článek
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Autor:
Ronan Fablet, Nathalie Bednarek, François Rousseau, Hélène Meunier, Nicolas Passat, Chi-Hieu Pham, Carlos Tor-Díez
Publikováno v:
Computerized Medical Imaging and Graphics
Computerized Medical Imaging and Graphics, Elsevier, 2019, 77, pp.101647. ⟨10.1016/j.compmedimag.2019.101647⟩
Computerized Medical Imaging and Graphics, 2019, 77, pp.101647. ⟨10.1016/j.compmedimag.2019.101647⟩
Computerized Medical Imaging and Graphics, Elsevier, 2019, 77, pp.101647. ⟨10.1016/j.compmedimag.2019.101647⟩
Computerized Medical Imaging and Graphics, 2019, 77, pp.101647. ⟨10.1016/j.compmedimag.2019.101647⟩
International audience; The purpose of super-resolution approaches is to overcome the hardware limitations and the clinical requirements of imaging procedures by reconstructing high-resolution images from low-resolution acquisitions using post-proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfca3bc500d28d55539f266fab1e978b
https://hal.archives-ouvertes.fr/hal-01635455v2/document
https://hal.archives-ouvertes.fr/hal-01635455v2/document
Autor:
Carlos Tor-Díez, Hélène Meunier, Chi-Hieu Pham, Nicolas Passat, François Rousseau, Ronan Fablet, Nathalie Bednarek
Publikováno v:
ISBI
International Symposium on Biomedical Imaging (ISBI)
International Symposium on Biomedical Imaging (ISBI), 2019, Venice, Italy. pp.991-994, ⟨10.1109/ISBI.2019.8759255⟩
International Symposium on Biomedical Imaging (ISBI)
International Symposium on Biomedical Imaging (ISBI), 2019, Venice, Italy. pp.991-994, ⟨10.1109/ISBI.2019.8759255⟩
International audience; The analysis of clinical neonatal brain MRI remains challenging due to low anisotropic resolution of the data. In most pipelines, images are first re-sampled using interpolation or single image super-resolution techniques and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a0b537783989fc3c245a94de1a7e45f
https://doi.org/10.1109/isbi.2019.8759255
https://doi.org/10.1109/isbi.2019.8759255
Autor:
Isabelle Bloch, Chi-Hieu Pham, François Rousseau, Carlos Tor-Díez, Sylvain Faisan, Hélène Meunier, Nathalie Bednarek, Nicolas Passat
Publikováno v:
Engineering in Medicine and Biology Conference (EMBC)
Engineering in Medicine and Biology Conference (EMBC), 2019, Berlin, Germany. pp.6553-6556, ⟨10.1109/EMBC.2019.8856795⟩
EMBC
Engineering in Medicine and Biology Conference (EMBC), 2019, Berlin, Germany. pp.6553-6556, ⟨10.1109/EMBC.2019.8856795⟩
EMBC
International audience; Magnetic Resonance Imaging (MRI) can provide 3D morphological information on brain structures. Such information is particularly relevant for carrying out morphometric brain analysis, especially in the newborn and in the case o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::334e74d67edb7d18cf537cf511fdc8c6
https://hal.archives-ouvertes.fr/hal-01896545
https://hal.archives-ouvertes.fr/hal-01896545
Autor:
Clément Cazorla, Quentin Delannoy, Nicolas Passat, Nathalie Bednarek, François Rousseau, Carlos Tor-Díez, Chi-Hieu Pham, Ronan Fablet, Hélène Meunier, Guillaume Dollé
Publikováno v:
Computers in Biology and Medicine
Computers in Biology and Medicine, Elsevier, 2020, 120, pp.103755. ⟨10.1016/j.compbiomed.2020.103755⟩
Computers in Biology and Medicine, Elsevier, 2020, 120, pp.103755. ⟨10.1016/j.compbiomed.2020.103755⟩
International audience; Background and objective: One of the main issues in the analysis of clinical neonatal brain MRI is the low anisotropic resolution of the data.In most MRI analysis pipelines, data are first re-sampled using interpolation or sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bb856e08f4be4c4368e4d727836af7c
https://doi.org/10.1016/j.compbiomed.2020.103755
https://doi.org/10.1016/j.compbiomed.2020.103755
Publikováno v:
ISBI
Proceedings ISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging
ISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging
ISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.197-200, ⟨10.1109/ISBI.2017.7950500⟩
Proceedings ISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging
ISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging
ISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.197-200, ⟨10.1109/ISBI.2017.7950500⟩
International audience; Example-based single image super-resolution (SR) has recently shown outcomes with high reconstruction performance. Several methods based on neural networks have successfully introduced techniques into SR problem. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70bb25e20487e48fb82dc0c9be3361b8
https://doi.org/10.1109/isbi.2017.7950500
https://doi.org/10.1109/isbi.2017.7950500
Autor:
Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau
Publikováno v:
HAL
Extraction et Gestion des Connaissances-Atelier Apprentissage Profond : Théorie et Applications (APTA@EGC)
Extraction et Gestion des Connaissances-Atelier Apprentissage Profond : Théorie et Applications (APTA@EGC), 2020, Bruxelles, Belgique
Extraction et Gestion des Connaissances-Atelier Apprentissage Profond : Théorie et Applications (APTA@EGC)
Extraction et Gestion des Connaissances-Atelier Apprentissage Profond : Théorie et Applications (APTA@EGC), 2020, Bruxelles, Belgique
National audience; La faible résolution et l'anisotropie des données induisent des difficultés pour l'analyse cérébrale néonatale en IRM (imagerie par résonance magnétique). Dans la plupart des pipelines d'analyse IRM, les données sont d'abo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6399236974be4c0f50b03e97878eb7cb
https://hal.archives-ouvertes.fr/hal-02387754
https://hal.archives-ouvertes.fr/hal-02387754