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Publication  de  la  collection  HAL LS2N-SIMS  pour  2019

Nombre de publications retournées : 62

Récapitulatif du nombre de publications de la collection par types
ART_INT
COMM_INT
COMM_NAT
OUV
BRE
THESE
AUTRES
1822111163

Revues internationales avec comité de lecture (ART_INT)

    • [1] F. Gontier, C. Lavandier, P. Aumond, M. Lagrange, J. Petiot. Estimation of the perceived time of presence of sources in urban acoustic environments using deep learning techniques. In Acta Acustica united with Acustica ; éd. Hirzel Verlag, 2019, vol. 105, num. 6.
      https://hal.science/hal-02388788v1
    • [2] J. Duan, C. Soussen, D. Brie, J. Idier, Y. Wang, M. Wan. A parallelizable framework for segmenting piecewise signals. In IEEE Access ; éd. IEEE, 2019, vol. 7.
      https://hal.science/hal-01978681v1
    • [3] L. Morvan, T. Carlier, B. Jamet, C. Bailly, C. Bodet-Milin, P. Moreau, F. Kraeber-Bodere, D. Mateus. Leveraging RSF and PET images for prognosis of Multiple Myeloma at diagnosis. In International Journal of Computer Assisted Radiology and Surgery ; éd. Springer Verlag, 2019.
      https://hal.science/hal-02172435v1
    • [4] R. Tournemenne, J. Petiot, B. Talgorn, J. Gilbert, M. Kokkolaras. Sound simulation-based design optimization of brass wind instruments. In Journal of the Acoustical Society of America ; éd. Acoustical Society of America, 2019, vol. 145, num. 6.
      https://inria.hal.science/hal-01963668v1
    • [5] T. Mohammadridha, P. Rivadeneira, N. Magdelaine, M. Cardelli, C. Moog. Positively Invariant Sets of a T1DM Model: Hypoglycemia Prediction and Avoidance. In Journal of The Franklin Institute ; éd. Elsevier, 2019, vol. 356, num. 11.
      https://hal.science/hal-02054969v1
    • [6] A. David, D. Le Touzé, T. Le Tourneau, P. Paul-Gilloteaux, F. Bonnefoy, J. Idier, S. Moussaoui, P. Guérin, J. Serfaty. In-vitro validation of 4D flow MRI measurements with an experimental pulsatile flow model. In Diagnostic and Interventional Imaging ; éd. Elsevier, 2019, vol. 100, num. 1.
      https://hal.science/hal-02267542v1
    • [7] F. Schmidt, S. Bourguignon. Efficiency of BRDF sampling and bias on the average photometric behavior. In Icarus ; éd. Elsevier, 2019, vol. 317.
      https://hal.science/hal-01901163v1
    • [8] J. Gloaguen, A. Can, M. Lagrange, J. Petiot. Road traffic sound level estimation from realistic urban sound mixtures by Non-negative Matrix Factorization. In Applied Acoustics ; éd. Elsevier, 2019, num. 143.
      https://hal.science/hal-01887710v1
    • [9] J. Duan, J. Idier, Y. Wang, M. Wan. A Joint Least Squares and Least Absolute Deviation Model. In IEEE Signal Processing Letters ; éd. Institute of Electrical and Electronics Engineers, 2019, vol. 26, num. 4.
      https://hal.science/hal-02049982v1
    • [10] G. Lafay, M. Rossignol, N. Misdariis, M. Lagrange, J. Petiot. Investigating soundscapes perception through acoustic scenes simulation. In Behavior Research Methods ; éd. Psychonomic Society, Inc, 2019, vol. 51, num. 2.
      https://hal.science/hal-01111782v2
    • [11] T. Yu, K. Akhmadeev, . Le Carpentier, Y. Aoustin, R. Gross, Y. Péréon, D. Farina. Recursive decomposition of electromyographic signals with a varying number of active sources: Bayesian modelling and filtering. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2019.
      https://hal.science/hal-02362477v1
    • [12] D. Winterauer, D. Funes-Hernando, J. Duvail, S. Moussaoui, T. Batten, B. Humbert. Sub-Micron Spatial Resolution in Far-Field Raman Imaging Using Positivity-Constrained Super-Resolution. In Applied Spectroscopy ; éd. Society for Applied Spectroscopy, 2019, vol. 73, num. 8.
      https://hal.science/hal-02272718v1
    • [13] C. Califano, E. Scharbarg, N. Magdelaine, C. Moog. A nonlinear time-delay realization for gastroparesis in patients with diabetes. In Annual Reviews in Control ; éd. Elsevier, 2019, vol. 48.
      https://hal.science/hal-02267973v1
    • [14] T. Ajamian, S. Moussaoui, A. Dupret. Breaking nyquist limitations in reflectometry-based wire diagnosis systems by compressive sampling. In IEEE Instrumentation and Measurement Magazine ; éd. Institute of Electrical and Electronics Engineers, 2019, vol. 22, num. 4.
      https://hal.science/hal-02280086v1
    • [15] V. Lostanlen, J. Andén, M. Lagrange. Fourier at the heart of computer music: From harmonic sounds to texture. In Comptes Rendus. Physique ; éd. Académie des sciences (Paris), 2019.
      https://hal.science/hal-02283200v1
    • [16] A. Moyon, E. Poirson, J. Petiot. Development of an Acceptance Model for Occupational Exoskeletons and Application for a Passive Upper Limb Device. In IISE Transactions on Occupational Ergonomics and Human Factors ; éd. Taylor & Francis, 2019, vol. 7, num. 3-4.
      https://hal.science/hal-02466646v1
    • [17] T. Nguyen, J. Idier, C. Soussen, E. Djermoune. Non-negative orthogonal greedy algorithms. In IEEE Transactions on Signal Processing ; éd. Institute of Electrical and Electronics Engineers, 2019, vol. 67, num. 21.
      https://hal.science/hal-02049424v3
    • [18] T. Yu, K. Akhmadeev, . Le Carpentier, Y. Aoustin, D. Farina. On-line recursive decomposition of intramuscular EMG signals using GPU-implemented Bayesian filtering. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2019, vol. 67, num. 6.
      https://hal.science/hal-02362489v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [19] J. Lefeuvre, S. Moussaoui, L. Grosset, A. Mendes-Siqueira, F. Delayens. Automated identification of components within complex mixtures by spectrometric data analysis. In TOTAL Symposium on Mathematics, MATHIAS 2019 Computational Science Engineering, Data Science & Artificial Intelligence by Total R&D, 2019, Paris, France.
      https://hal.science/hal-03648024v1
    • [20] R. Ben Mhenni, S. Bourguignon, J. Ninin. Global Optimization for Sparse Solution of Least Squares Problems. In ICCOPT, International Conference on Continuous Optimization, 2019, Berlin, Allemagne.
      https://hal.science/hal-02584322v1
    • [21] R. Ben Mhenni, S. Bourguignon, J. Ninin. Global optimization of L0-norm-based sparse approximation criteria with a branch-and-bound algorithm. In SPARS, Signal Processing with Adaptive Sparse Structured Representations, 2019, Toulouse, France.
      https://hal.science/hal-02583286v1
    • [22] M. Tardy, B. Scheffer, D. Mateus. Breast Density Quantification Using Weakly Annotated Dataset. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), avril 2019, Venice, Italie.
      https://hal.science/hal-02463086v1
    • [23] L. Morvan, T. Carlier, C. Bailly, B. Jamet, C. Bodet-Milin, P. Moreau, C. Touzeau, F. Kraeber-Bodere, D. Mateus. Leveraging Random Survival Forest (RSF) and PET images for prognosis of Multiple Myeloma at diagnosis. In International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), juin 2019, Rennes, France.
      https://hal.science/hal-02174921v1
    • [24] M. Tardy, B. Scheffer, D. Mateus. A closer look onto breast density with weakly supervised dense-tissue masks. In CARS 2019—Computer Assisted Radiology and Surgery Proceedings of the 33rd International Congress and Exhibition, Rennes, France, June 18–21, 2019, juin 2019, Rennes, France.
      https://hal.science/hal-02565263v1
    • [25] Y. Zhu, S. Acounis, N. Beaupère, J. Beney, J. Bert, S. Bouvier, C. Canot, T. Carlier, M. Cherel, J. Cussonneau, S. Diglio, D. Giovagnoli, J. Idier, F. Kraeber-Bodéré, P. Le Ray, F. Lefèvre, J. Masbou, E. Morteau, J. Stutzmann, D. Thers, D. Visvikis, Y. Xing. XEMIS2: A liquid xenon Compton camera to image small animals. In IEEE International Conference on Dielectric Liquids, juin 2019, Roma, Italie.
      https://hal.science/hal-02392898v1
    • [26] T. Nguyen, C. Soussen, J. Idier, E. Djermoune. Exact recovery analysis of non-negative orthogonal matching pursuit. In Signal Processing with Adaptive Sparse Structured Representations Workshop, SPARS 2019, juillet 2019, Toulouse, France.
      https://hal.science/hal-02378709v1
    • [27] J. Petiot, R. Tournemenne, J. Gilbert. Physical modeling sound simulations for the study of the quality of wind instruments. In ICSV2019 - 26th International Congress on Sound and Vibration, juillet 2019, Montréal, Canada.
      https://hal.science/hal-02466551v1
    • [28] M. Tardy, B. Scheffer, D. Mateus. A closer look onto breast density with weakly supervised dense-tissue masks. In Medical Imaging with Deep Learning MIDL 2019, juillet 2019, London, Royaume-Uni.
      https://hal.science/hal-02463094v1
    • [29] T. Nguyen, C. Soussen, J. Idier, E. Djermoune. NP-hardness of $\ell$0 minimization problems: revision and extension to the non-negative setting. In 13th International Conference on Sampling Theory and Applications, SampTA 2019, juillet 2019, Bordeaux, France.
      https://hal.science/hal-02112180v1
    • [30] J. Petiot, K. Legeay, M. Lagrange. Optimization of the sound of electric vehicles according to unpleasantness and detectability. In International Conference on Engineering Design ICED 2019, août 2019, DELFT, Pays-Bas.
      https://hal.science/hal-02280954v1
    • [31] O. Bordron, C. Huneau, . Le Carpentier, Y. Aoustin. Joint torque estimation during a squat motion. In Congrès Français de Mécanique (Brest), août 2019, Brest, France.
      https://hal.science/hal-02362513v1
    • [32] M. Castagna, S. Levilly, P. Paul-Gilloteaux, F. Bonnefoy, J. Idier, J. Serfaty, D. Le Touzé. An in Vitro and in Silico Validation Study for PC MRI and Derived Bio‐markers. In 31st Society for Magnetic Resonance Angiography conference (SMRA 2019), août 2019, Nantes, France.
      https://hal.science/hal-03130185v1
    • [33] C. El Hajj, S. Moussaoui, G. Collewet, M. Musse. Multi-Exponential Relaxation Times Maps Reconstruction and Unsupervised Classification in Magnitude Magnetic Resonance Imaging. In 27th European Signal Processing Conference, septembre 2019, La Corogne, Espagne.
      https://hal.science/hal-02318133v1
    • [34] J. Petiot. Study of the effect of acoustic sound bridges on wind instruments: Perceptual study with a panel of trumpet players. In ISMA2019, septembre 2019, Detmold, Allemagne.
      https://hal.science/hal-02466583v1
    • [35] C. El Hajj, S. Moussaoui, G. Collewet, M. Musse. Spatially Regularized Multi-Exponential Transverse Relaxation Times Estimation From Magnitude Magnetic Resonance Images Under Rician Noise. In 26th IEEE International Conference on Image Processing, septembre 2019, Tapei, Taïwan.
      https://hal.science/hal-02317863v1
    • [36] M. Vono, J. Goicoechea, P. Gratier, V. Guzman, A. Hughes, J. Kainulainen, D. Languignon, J. Bourlot, F. Levrier, H. Listz, K. Öberg, E. Bron, J. Orkisz, N. Peretto, J. Pety, A. Roueff, E. Roueff, A. Sievers, V. Magalhaes, P. Tremblin, P. Chainais, F. Petit, S. Bardeau, S. Bourguignon, J. Chanussot, M. Gaudel, M. Gerin. A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data. In WHISPERS 2019 - 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, septembre 2019, Amsterdam, Pays-Bas.
      https://hal.science/hal-02569471v1
    • [37] A. Moyon, J. Petiot, E. Poirson. Investigating the effects of passive exoskeletons and familiarization protocols on arms-elevated tasks. In Human Factors and Ergonomics Society Europe Chapter 2019 Annual Conference, octobre 2019, Nantes, France.
      https://hal.science/hal-02866301v1
    • [38] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. Fast inverse approach for the deconvolution of ultrasonic TFM images using a spatially varying PSF in NDT. In 2019 IEEE International Ultrasonics Symposium (IUS), octobre 2019, Glasgow, Royaume-Uni.
      https://hal.science/hal-02563561v1
    • [39] A. Jiménez-Sánchez, D. Mateus, S. Kirchhoff, C. Kirchhoff, P. Biberthaler, N. Navab, M. González Ballester, G. Piella. Medical-based Deep Curriculum Learning for Improved Fracture Classification. In International Conference on Medical Image Computing and Computer Aided Interventions, octobre 2019, Shenzen, Chine.
      https://hal.science/hal-02458516v1
    • [40] M. Tardy, B. Scheffer, D. Mateus. Uncertainty Measurements for the Reliable Classification of Mammograms. In International Conference on Medical Image Computing and Computer Assisted Intervention, octobre 2019, Shenzen, Chine.
      https://hal.science/hal-02463111v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [41] L. Morvan, D. Mateus, C. Bailly, B. Jamet, C. Bode-Milin, P. Moreau, C. Touzeau, F. Kraeber-Bodéré, T. Carlier. Prédiction de la progression chez des patients atteints de myélome multiple par "Random Survival Forest. In SFMN, mars 2019, Paris, France.
      https://hal.science/hal-02175296v1
    • [42] J. Petiot, L. Fouere, A. Bigouret, A. Nkengne, S. Gagnaire, M. Thomas, K. Vié. Characterization of human skin properties with sounds. The music of the skin. In 16e Colloque National S-mart, avril 2019, les Karellis, France.
      https://hal.science/hal-02466623v1
    • [43] D. Mornas, C. Huneau, J. Idier. Modèle Fast-Slow de l’hyperémie fonctionnelle pour l’IRMf ASL. In Recherche en Imagerie et Technologie pour la Santé, RITS 2019, mai 2019, Tours, France.
      https://hal.science/hal-02576208v1
    • [44] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Démélange parcimonieux et prise en compte de contraintes structurantes par optimisation globale. In 7e colloque du Groupe Hyperspectral de la Société Française de Photogrammétrie et Télédétection (SFPT-GH) 2019, juillet 2019, Toulouse, France.
      https://hal.science/hal-02583353v1
    • [45] J. Gloaguen, M. Lagrange, A. Can, J. Petiot. Study of the Non-negative Matrix Factorization behavior to estimate the urban traffic sound levels. In ICSV'26, 26th International Congress on Sound and Vibration, juillet 2019, Montreal, Canada.
      https://hal.science/hal-02285320v2
    • [46] C. El Hajj, S. Moussaoui, G. Collewet, M. Musse. Reconstruction et classification des temps de relaxation multi-exponentielle en IRM. In XXVIIème Colloque GRETSI sur le Traitement du Signal et des Images, août 2019, Lille, France.
      https://hal.science/hal-02317848v1
    • [47] D. Mornas, C. Huneau, J. Idier. Modèle Fast-Slow du couplage neurovasculaire. In 27e colloque GRETSI, août 2019, Villeneuve-d’Ascq, France.
      https://hal.science/hal-02356389v1
    • [48] M. Amrouche, H. Carfantan, J. Idier, A. Michel, V. Martin. Destriping d'images satellitaires push-broom pour un modèle affine de réponse des détecteurs. In Colloque GRETSI, août 2019, Lille, France.
      https://hal.science/hal-02337756v1
    • [49] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. Approche inverse rapide pour la déconvolution d'images ultrasonores par une PSF variable. In GRETSI, août 2019, Lille, France.
      https://hal.science/hal-02280759v1
    • [50] R. Mhenni, S. Bourguignon, M. Mongeau, J. Ninin, H. Carfantan. Algorithme branch-and-bound pour l’optimisation exacte en norme l0. In XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019), août 2019, Lille, France.
      https://hal.science/hal-02280754v1
    • [51] T. Nguyen, C. Soussen, J. Idier, E. Djermoune. Algorithmes gloutons orthogonaux pour la reconstruction de signaux parcimonieux positifs. In GRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images, août 2019, Lille, France.
      https://centralesupelec.hal.science/hal-02149677v1

Brevets (BRE)

    • [52] C. Moog, N. Magdelaine, L. Chaillous, M. Aït-Ahmed. Method for estimating glycemia and/or controlling an insulin injection device. N° brevet : PCT/EP2019/086622.
      https://hal.science/hal-02384069v1

Ouvrages - Chapitres d‘ouvrages et directions d‘ouvrages (OUV)

    • [53] A. Gallard, K. Akhmadeev, . Le Carpentier, R. Gross, Y. Péréon, Y. Aoustin. Automatic classification of intramuscular EMG to recognize pathologies.. In Advanced Structured Materials. 04-11-2019
      https://hal.science/hal-02362458v1

Theses et HDR (THESE)

    • [59] C. El Hajj. Estimation et classification des temps de relaxation multi-exponentiels en IRM. Application aux tissus végétaux. Thèses : École centrale de Nantes.
      https://theses.hal.science/tel-02561480v2

Autres publications (AUTRES)

    • [60] L. Morvan, D. Mateus, C. Bailly, B. Jamet, C. Bodet-Milin, P. Moreau, C. Touzeau, F. Kraeber-Bodéré, T. Carlier. Prédiction de la progression chez des patients atteints de myélome multiple par "Random Survival Forest. In ..., 2019, Paris, France.
      https://inserm.hal.science/inserm-02100680v2
    • [61] Y. Zhu, S. Acounis, N. Beaupère, J. Beney, J. Bert, S. Bouvier, C. Canot, T. Carlier, M. Cherel, J. Cussonneau, S. Diglio, D. Giovagnoli, F. Kraeber-Bodere, P. Ray, F. Lefèvre, J. Masbou, E. Morteau, J. Stutzmann, D. Thers, D. Visvikis, Y. Xing, J. Idier. XEMIS2: A liquid xenon Compton camera to image small animals. In 20th IEEE International Conference on Dielectric Liquids, juin 2019, Rome, Italie.
      https://hal.science/hal-02292728v1
    • [62] L. Sébastien, J. Idier, B. Félicien, L. David, P. Perrine, S. Jean-Michel, S. Moussaoui. Wall Shear Stress Quantification in the context of 4D Flow MRI Simulation on Carotids. In Society for Magnetic Resonance Angiography conference, 31st Annual International Conference, août 2019, Nantes, France.
      https://hal.science/hal-03466557v1
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