Laetitia Jeancolas

X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech

Habib Benali, Badr-Eddine Benkelfat, Marie Vidailhet, 2020, Frontiers in Neuroinformatics.

Comparison of Telephone Recordings and Professional Microphone Recordings for Early Detection of Parkinson's Disease, Using Mel-Frequency Cepstral Coefficients with Gaussian Mixture Models

Habib Benali, Stéphane Lehéricy, Dijana Petrovska-Delacrétaz, 2019, INTERSPEECH.

Dopamine denervation in the functional territories of the striatum: a new MR and atlas-based 123I-FP-CIT SPECT quantification method

S. Lehéricy, M. Vidailhet, R. Valabrègue, 2021, Journal of Neural Transmission.

Automatic detection of early stages of Parkinson's disease through acoustic voice analysis with mel-frequency cepstral coefficients

Habib Benali, Stéphane Lehéricy, Dijana Petrovska-Delacrétaz, 2017, 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Can Infants Generalize Tool Use From Spoon to Rake at 18 Months?

J. O'Regan, J. Fagard, L. Rat-Fischer, 2022, Journal of Motor Learning and Development.

Voice characteristics from isolated rapid eye movement sleep behavior disorder to early Parkinson's disease.

B. Benkelfat, D. Petrovska-Delacrétaz, J. Corvol, 2022, Parkinsonism & related disorders.

X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech pdf

Habib Benali, Dijana Petrovska-Delacr'etaz, Badr-Eddine Benkelfat, 2020, Frontiers in Neuroinformatics.