48 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de LorraineFR5 papers
- InsermFR4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Centre d’Investigation Clinique Innovation Technologique de NancyFR1 paper
- Centre Hospitalier Régional et Universitaire de NancyFR1 paper
- CRANFR1 paper
- gec-co Global Engineering & Consulting (Germany)DE1 paper
- Hôpital PellegrinFR1 paper
- Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR1 paper
- National Institute of Astrophysics, Optics and ElectronicsMX1 paper
- Technical University of MunichDE1 paper
- Tecnológico de MonterreyMX1 paper
6 papers
Reconstruction of the Vocal Tract from Speech via Phonetic Representations Using MRI Data
Sofiane Azzouz, Pierre-André Vuissoz, Yves Laprie
Articulatory acoustic inversion aims to reconstruct the complete geometry of the vocal tract from the speech signal. In this paper, we present a comparative study of several levels…
Reconstruction of the Complete Vocal Tract Contour Through Acoustic to Articulatory Inversion Using Real-Time MRI Data
Sofiane Azzouz, Pierre-André Vuissoz, Yves Laprie
Acoustic to articulatory inversion has often been limited to a small part of the vocal tract because the data are generally EMA (ElectroMagnetic Articulography) data requiring sens…
Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach
Karyna Isaieva, Yves Laprie, Nicolas Turpault +3
Tongue contour extraction from real-time magnetic resonance images is a nontrivial task due to the presence of artifacts manifesting in form of blurring or ghostly contours. In thi…
Complete reconstruction of the tongue contour through acoustic to articulatory inversion using real-time MRI data
Sofiane Azzouz, Pierre-André Vuissoz, Yves Laprie
Acoustic articulatory inversion is a major processing challenge, with a wide range of applications from speech synthesis to feedback systems for language learning and rehabilitatio…
Assessing deep learning methods for the identification of kidney stones in endoscopic images
Francisco Lopez, Andres Varela, Oscar Hinojosa +8
Knowing the type (i.e., the biochemical composition) of kidney stones is crucial to prevent relapses with an appropriate treatment. During ureteroscopies, kidney stones are fragmen…
Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI
Aurelien Bustin, Anne Menini, Martin A. Janich +4
To develop an efficient motion-compensated reconstruction technique for free-breathing cardiac magnetic resonance imaging (MRI) that allows high-quality images to be reconstructed…