Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech
2020 · Computer Methods and Programs in Biomedicine · 21 citations
https://doi.org/10.1016/j.cmpb.2020.105814
M
Matthieu Ruthven
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Matthieu Ruthven is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Speech Recognition and Synthesis & Cleft Lip and Palate Research & Advanced MRI Techniques and Applications. The author has an h-index of 5, co-authored 12 publications.
ORCID: 0000-0002-7465-3042Papers by this author
worksReal-time speech MRI datasets with corresponding articulator ground-truth segmentations
2023 · Scientific Data · 7 citations
https://doi.org/10.1038/s41597-023-02766-z
AI-enabled thermal monitoring of commercial (PHEV) Li-ion pouch cells with Feature-Adapted Unsupervised Anomaly Detection
2024 · Journal of Power Sources · 6 citations
https://doi.org/10.1016/j.jpowsour.2024.235982
A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech
2022 · Biomedical Signal Processing and Control · 5 citations
https://doi.org/10.1016/j.bspc.2022.104290
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