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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