R. Barrois, B. Tervil, M. Cacioppo, C. Barnerias, E. Deladrière, V. Leloup-Germa, A. Hervé, L. Oudre, D. Ricard, P.P. Vidal, N. Vayatis, S. Quijano Roy, S. Brochard, C. Gitiaux and I. Desguerre. Acceptability, validity and responsiveness of inertial measurement units for assessing motor recovery after gene therapy in infants with early onset spinal muscular atrophy: a prospective cohort study. Journal of NeuroEngineering and Rehabilitation, 21(1):183, 2024.
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N. de l'Escalopier, C. Voisard, S. Jung, M. Michaud, A. Moreau, N. Vayatis, P. Denormandie, A. Verrando, C. Verdaguer, A. Moussu, A. Jequier, C. Duret, L. Mailhan, L. Gatin, L. Oudre, and D. Ricard. Inertial Measurement Units to evaluate the efficacity of Equino Varus Foot surgery in post stroke hemiparetic patients: a feasibility study. Journal of NeuroEngineering and Rehabilitation, 21(1):182, 2024.
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G. De Rocquigny, C. Dubost, P. Humbert, L. Oudre, C. Labourdette, N. Vayatis, J.-P. Tourtier, and P.-P. Vidal. Assessment of the Depth of Anesthesia with Hidden Markov Model based on cardiopulmonary variables. Frontiers in Anesthesiology, 3:1391877, 2024.
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T. Germain, C. Truong, and L. Oudre. Persistence-based Motif Discovery in Time Series. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
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L. Zoroddu, P. Humbert, and L. Oudre. Learning Network Granger causality using Graph Prior Knowledge. Transactions on Machine Learning Research (TMLR), 2024.
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C. Voisard, N. De l'Escalopier, D. Ricard, and L. Oudre. Automatic Gait Events Detection with Inertial Measurement Units: Healthy Subjects and Moderate to Severe Impaired Patients. Journal of NeuroEngineering and Rehabilitation, 21(1):104, 2024.
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M. Michaud, A. Guérin, M. Dejean De La Bâtie, L. Bancel, L. Oudre and A. Tricot. The Analytical Validity of Stride Detection and Gait Parameters Reconstruction Using the Ankle-Mounted Inertial Measurement Unit Syde®. Sensors, 24(8):2413, 2024.
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A. Bois, B. Tervil, and L. Oudre. Persistence-based clustering with outlier-removing filtration. Frontiers in Applied Mathematics and Statistics, 10:1260828, 2024.
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S. W. Combettes, P. Boniol, A. Mazarguil, D. Wang, D. Vaquero-Ramos, M. Chauveau, L. Oudre, N. Vayatis, P.-P. Vidal, A. Roren, and M.-M. Lefèvre-Colau. Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. Image Processing On Line, 14:1-13, 2024.
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D. Wang, I. Bargiotas, J. Cao, N. Vayatis, L. Oudre, and P-P. Vidal. Heterogeneities of the perceptual motor style during locomotion at height. Frontiers in Human Neuroscience, 17:1228195, 2024.
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C. Voisard, N. De l'Escalopier, A. Moreau, A. Vienne-Jumeau, D. Ricard, and L. Oudre. A Reference Data Set for the Study of Healthy Subject Gait with Inertial Measurements Units. Image Processing On Line, 13:314-320, 2023.
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C. Voisard, N. De l'Escalopier, A. Vienne-Jumeau, A. Moreau, F. Quijoux, F. Bompaire, M. Sallansonnet, M-L. Brechemier, I. Taifas, C. Tafani, E. Drouard, N. Vayatis, D. Ricard and L. Oudre. Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram. Frontiers in Neurology, 14:1237162, 2023.
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T. Germain, C. Truong, L. Oudre, and E. Krejci. Unsupervised classification of plethysmography signals with advanced visual representations. Frontiers in Physiology, 14:1154328, 2023.
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S. Jung, N. De l'Escalopier, L. Oudre, C. Truong, E. Dorveaux, L. Gorintin and D. Ricard. A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment. Sensors, 23(8):4000, 2023.
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N. De l'Escalopier, C. Voisard, M. Michaud, A. Moreau, S. Jung, B. Tervil, N. Vayatis, L. Oudre and D. Ricard. Evaluation methods to assess the efficacy of equinovarus foot surgery on the gait of post-stroke hemiplegic patients: A literature review. Frontiers in Neurology, 13:1042667, 2022.
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L.-B. Beaufort, P.-Y. Massé, A. Reboulet, and L. Oudre. Network reconstruction problem for an epidemic reaction-diffusion system. Journal of Complex Networks, 10(6):cnac047, 2022.
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I. Bargiotas, D. Wang, J. Mantilla, F. Quijoux, A. Moreau, C. Vidal, R. Barrois, A. Nicolai, J. Audiffren, C. Labourdette, F. Bertin-Hugaul, L. Oudre, S. Buffat, A. Yelnik, D. Ricard, N. Vayatis, and P.-P. Vidal. Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall. Journal of Neurology, 1-14, 2022.
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A. Bois, B. Tervil, A. Moreau, A. Vienne-Jumeau, D. Ricard, and L. Oudre. A topological data analysis-based method for gait signals with an application to the study of multiple sclerosis. PloS one, 17(5):e0268475, 2022
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A. Mazarguil, L. Oudre, and N. Vayatis. An uncertainty principle for lowband graph signals. IEEE Signal Processing Letters, 29:727-731, 2022.
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A. Mazarguil, L. Oudre, and N. Vayatis. Non-smooth interpolation of graph signals. Signal Processing, 196:108480, 2022.
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P. Humbert, L. Oudre, N. Vayatis, and J.Audiffren. Tensor Convolutional Dictionary Learning with CP Low-Rank activations. IEEE Transactions in Signal Processing, 70:785-796, 2022.
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A. Roren, A. Mazarguil, D. Vaquero-Ramos D, J.-B. Deloose, P.-P. Vidal, C. Nguyen, F. Rannou, D. Wang, L. Oudre, and M.-M. Lefèvre-Colau. Assessing
Smoothness of Arm Movements With Jerk: A Comparison of Laterality, Contraction Mode and Plane of Elevation. A Pilot Study. Frontiers in Bioengineering and Biotechnology, 9:782740, 2022.
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F. Quijoux, A. Nicolaï, I. Chairi, I. Bargiotas, D. Ricard, A. Yelnik, L. Oudre, F. Bertin-Hugault, P-P. Vidal, N. Vayatis, S. Buffat, and J. Audiffren. A Review of Center of Pressure (COP) Variables to Quantify Standing Balance in Elderly People: Algorithms and Open Access Code. Physiological Reports, 9(22):e15067, 2021.
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P. Humbert, B. Le Bars, L. Oudre, A. Kalogeratos, and N. Vayatis. Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation. Journal of Machine Learning Research, 22(195):1-47, 2021.
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W. Guilluy, L. Oudre, and A. Beghdadi. Video stabilization: Overview, challenges and perspectives. Signal Processing: Image Communication, 90:116015, 2021
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S. Jung, M. Michaud, L. Oudre, E. Dorveaux, L. Gorintin, N. Vayatis, and D. Ricard. The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review. Sensors, 20(19), 5625 , 2020
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P.-P. Vidal, A. Vienne-Jumeau, A. Moreau, C. Vidal, D. Wang, J. Audiffren, I. Bargiotas, R. Barrois, S. Buffat, C. Dubost, J.-M. Ghidaglia, C. Labourdette, J. Mantilla, L. Oudre, F. Quijoux, M. Robert, A. Yelnik, D. Ricard, and N. Vayatis. An opinion paper on the maintenance of robustness: Towards a multimodal and intergenerational approach using digital twins. Aging Medicine, 2020
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C. Dubost, P. Humbert, L. Oudre, C. Labourdette, N. Vayatis, and P.-P. Vidal. Quantitative assessment of consciousness during anesthesia without EEG data. Journal of Clinical Monitoring and Computing, 2020
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J. Mantilla, D. Wang, I. Bargiotas, J. Wang, J. Cao, L. Oudre, and P.-P. Vidal. Motor style at rest and
during locomotion in human. Journal of Neurophysiology, 123(6):2269-2284, 2020
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T. Dot, F. Quijoux, L. Oudre, A. Vienne-Jumeau, A. Moreau, P.-P. Vidal, and D.Ricard. Non-Linear Template-Based Approach for the Study of Locomotion. Sensors, 20(7):1939 , 2020
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A. Vienne-Jumeau, L. Oudre, A. Moreau, F. Quijoux, S. Edmond, M. Dandrieux, E. Legendre, P.-P. Vidal, and D. Ricard. Personalized template-based step detection from Inertial Measurement Units signals in Multiple Sclerosis. Frontiers in Neurology, 11-261, 2020
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C. Truong, L. Oudre, and N. Vayatis. Selective review of offline change point detection methods. Signal Processing, 167:107299, 2020
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P. Humbert, C. Dubost, J. Audiffren, and L. Oudre. Apprenticeship Learning for a Predictive State Representation of Anesthesia. IEEE Transactions on Biomedical Engineering, 67(7):2052-2063, 2020.
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C. Truong, L. Oudre, and N. Vayatis. Greedy kernel change point detection. IEEE Transactions on Signal Processing, 67(24):6204-6214, 2019.
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C. Truong, R. Barrois-Müller, T. Moreau, C. Provost, A. Vienne-Jumeau, A. Moreau, P.-P. Vidal, N. Vayatis, S. Buffat, A. Yelnik, D. Ricard, and L. Oudre. A Data Set for the Study of Human Locomotion with Inertial Measurements Units. Image Processing On Line, 9:381-390, 2019.
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A. Vienne-Jumeau, L. Oudre, A. Moreau, F. Quijoux, P.-P. Vidal, and D. Ricard. Comparing Gait Trials with Greedy Template Matching. Sensors 19(14):3089, 2019
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L. Oudre, R. Barrois-Müller, T. Moreau, C. Truong, A. Vienne-Jumeau, D. Ricard, N. Vayatis, and P.-P. Vidal. Template-Based Step Detection with Inertial Measurement Units. Sensors, 18(11):4033, 2018
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L. Oudre. Interpolation of missing samples in sound signals based on autoregressive modeling. Image Processing On Line, 8:329-344, 2018.
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R. Barrois-Müller, D. Ricard, L. Oudre, L. Tlili, C. Provost, A. Vienne, P.-P. Vidal, S. Buffat, and A. Yelnik. Observational Study of 180° Turning Strategies Using Inertial Measurement Units and Fall Risk in Poststroke Hemiparetic Patients. Frontiers in Neurology, 8-194, 2017
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R. Barrois-Müller, T. Gregory, L. Oudre, T. Moreau, C. Truong, A. Pulini, A. Vienne, C. Labourdette, N. Vayatis, S. Buffat, A. Yelnik, C. de Waele, S. Laporte, P.-P. Vidal, and D. Ricard. An Automated Recording Method in Clinical Consultation to Rate the Limp in Lower Limb Osteoarthritis. PloS one, 11(10):e0164975, 2016
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L. Oudre. Automatic detection and removal of impulsive noise in audio signals. Image Processing On Line, 5:267-281, 2015.
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L. Oudre. Optimization of the cost function in the Monge-Kantorovich Problem (MKP) under the Monge condition. International Journal of Pattern Recognition and Artificial Intelligence, 28(5):1451006, 2014.
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M. Doron, T. Bastian, A. Maire, E. Perrin, L. Oudre, H. Ovigneur, F. Gris, A.-L.
Francis, M. Antonakios, and R. Guillemaud. SVELTE: Evaluation device of energy expenditure
and physical condition for the prevention and treatment of obesity-related
diseases through the analysis of a person's physical activities. IRBM (BioMedical Engineering and Research), 34(2):108-112, 2013.
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L. Oudre, J. Jakubowicz, P. Bianchi, and C. Simon. Classification of periodic activities using the Wasserstein distance. IEEE Transactions on Biomedical Engineering, 59(6):1610-1619, 2012.
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L. Oudre, C. Févotte, and Y. Grenier. Probabilistic template-based chord recognition. IEEE Transactions on Audio, Speech and Language Processing, 19(8):2249-2259, 2011.
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L. Oudre, Y. Grenier, and C. Févotte. Chord recognition by fitting rescaled chroma vectors to chord templates. IEEE Transactions on Audio, Speech and Language Processing, 19(7):2222-2233, 2011.
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