ArticleScientific data2021
Multimodal dataset of real-time 2D and static 3D MRI of healthy French speakers.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02887053 (Développement Méthodologique de l'Imagerie Par Résonance Magnétique), which is not on this map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Développement Méthodologique de l'Imagerie Par Résonance Magnétique (IRM)
Who cites it
10 citing papers in PubMed.
- Phase-Pole-Free Images and Smooth Coil Sensitivity Maps by Regularized Nonlinear Inversion.Magnetic resonance in medicine · 2026Article
- PRORED: a hybrid transformer framework with progressive refinement decoding for segmenting dynamic speech MRI.BJR artificial intelligence · 2026Article
- An Audio-Ultrasound Synchronized Database of Tongue Movement for Mandarin speech.Scientific data · 2025Article
- Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks.Journal of voice : official journal of the Voice Foundation · 2025Article
- NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function.Scientific data · 2025Article
- Performance enhancement of deep learning based solutions for pharyngeal airway space segmentation on MRI scans.Scientific reports · 2024Article
- Real-time speech MRI datasets with corresponding articulator ground-truth segmentations.Scientific data · 2023Article
- Super-Resolved Dynamic 3D Reconstruction of the Vocal Tract during Natural Speech.Journal of imaging · 2023Article
- Automatic Multiple Articulator Segmentation in Dynamic Speech MRI Using a Protocol Adaptive Stacked Transfer Learning U-NET Model.Bioengineering (Basel, Switzerland) · 2023Article
- Multimodal dataset of real-time 2D and static 3D MRI of healthy French speakers.Scientific data · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The study of articulatory gestures has a wide spectrum of applications, notably in speech production and recognition. Sets of phonemes, as well as their articulation, are language-specific; however, existing MRI databases mostly include English speakers. In our present work, we introduce a dataset acquired with MRI from 10 healthy native French speakers. A corpus consisting of synthetic sentences was used to ensure a good coverage of the French phonetic context. A real-time MRI technology with temporal resolution of 20 ms was used to acquire vocal tract images of the participants speaking. The sound was recorded simultaneously with MRI, denoised and temporally aligned with the images. The speech was transcribed to obtain phoneme-wise segmentation of sound. We also acquired static 3D MR images for a wide list of French phonemes. In addition, we include annotations of spontaneous swallowing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.