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Publications  for  the  collection  HAL LS2N-SIMS  for  2020

Total of the publications found : 42

Overview of LS2N-SIMS publications by types

International journals with reviewing committee (ART_INT)

    • [1] D. Winterauer, D. Funes-Hernando, J. Duvail, S. Moussaoui, T. Batten, B. Humbert. Nanoscale Spatial Resolution in Far-Field Raman Imaging Using Hyperspectral Unmixing in Combination with Positivity Constrained Super-Resolution. In Applied Spectroscopy ; éd. Society for Applied Spectroscopy, 2020.
    • [2] M. Millardet, S. Moussaoui, D. Mateus, J. Idier, T. Carlier. Local-mean preserving post-processing step for non-negativity enforcement in PET imaging: application to 90 Y-PET. In IEEE Transactions on Medical Imaging ; éd. Institute of Electrical and Electronics Engineers, 2020, vol. 39.
    • [3] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. An inverse approach for ultrasonic imaging from full matrix capture data. Application to resolution enhancement in NDT.. In IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control ; éd. Institute of Electrical and Electronics Engineers, 2020, vol. 67, num. 9.
    • [4] N. Magdelaine, P. Rivadeneira, L. Chaillous, A. Fournier-Guilloux, M. Krempf, T. Mohammadridha, M. Aït-Ahmed, C. Moog. The Hypoglycemia-Free Artificial Pancreas Project. In IET Systems Biology ; éd. Institution of Engineering and Technology, 2020, vol. 14, num. 1.
    • [5] J. Picaut, A. Can, N. Fortin, J. Ardouin, M. Lagrange. Low-Cost Sensors for Urban Noise Monitoring Networks-A Literature Review. In Sensors ; éd. MDPI, 2020, vol. 20, num. 8.
    • [6] A. Jiménez-Sánchez, A. Kazi, S. Albarqouni, C. Kirchhoff, P. Biberthaler, N. Navab, S. Kirchhoff, D. Mateus. Precise proximal femur fracture classification for interactive training and surgical planning. In International Journal of Computer Assisted Radiology and Surgery ; éd. Springer Verlag, 2020.
    • [7] C. El Hajj, S. Moussaoui, G. Collewet, M. Musse. Multi-exponential Transverse Relaxation Times Estimation from Magnetic Resonance Images under Rician Noise and Spatial Regularization. In IEEE Transactions on Image Processing ; éd. Institute of Electrical and Electronics Engineers, 2020, vol. 29.
    • [8] K. Akhmadeev, T. Yu, . Le Carpentier, Y. Aoustin, D. Farina. Simulation of motor unit action potential recordings from intramuscular multichannel scanning electrodes. In IEEE Transactions on Biomedical Engineering ; éd. Institute of Electrical and Electronics Engineers, 2020, vol. 67, num. 7.
    • [9] S. Levilly, M. Castagna, J. Idier, F. Bonnefoy, D. Le Touzé, P. Paul-Gilloteaux, S. Moussaoui, J. Serfaty. Towards Quantitative Evaluation of Wall Shear Stress from 4D Flow Imaging. In Magnetic Resonance Imaging ; éd. Elsevier, 2020.
    • [10] C. Fischione, L. Turchet, G. Fazekas, M. Lagrange, H. Ghadikolaei. The Internet of Audio Things: state-of-the-art, vision, and challenges. In IEEE Internet of Things Journal ; éd. IEEE, 2020, vol. 7, num. 10.
    • [11] C. Friedrich, S. Bourguignon, J. Idier, Y. Goussard. Three-Dimensional Microwave Imaging: Fast and Accurate Computations with Block Resolution Algorithms. In Sensors ; éd. MDPI, 2020, vol. 20, num. 21.
    • [12] E. Scharbarg, C. Califano, E. Le Carpentier, C. Moog. Practical identification of a glucose-insulin dynamics model. In 21st IFAC World Congress, juillet 2020, Berlin, Allemagne.In IFAC-PapersOnLine ; éd. Elsevier, 2020, vol. 53, num. 2.

International conferences with reviewing committee (COMM_INT)

    • [13] G. Santini, C. Fourcade, C. Rousseau, L. Ferrer, M. Campone, M. Colombié, M. Rubeaux. Segmentation automatique des métastases hépatiques en imagerie TEP/TDM basée sur l’apprentissage profond dans le cadre du cancer du sein métastatique. In Journées Francophones de Médecine Nucléaire, mars 2020, Paris, France.
    • [14] M. Tardy, D. Mateus. Lightweight U-Net for high-resolution breast imaging. In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), avril 2020, Iowa City, états-Unis.
    • [15] L. Nus, S. Miron, B. Jaillais, S. Moussaoui, D. Brie. A semi-supervised rank tracking algorithm for on-line unmixing of hyperspectral images. In International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, mai 2020, Barcelone, Espagne.
    • [16] R. Ben Mhenni, S. Bourguignon, J. Idier. A Greedy Sparse Approximation Algorithm Based On L1-Norm Selection Rules. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), mai 2020, Barcelona, Espagne.
    • [17] R. Ben Mhenni, S. Bourguignon, M. Mongeau, J. Ninin, H. Carfantan. Sparse Branch and Bound for Exact Optimization of L0-Norm Penalized Least Squares. In ICASSP 2020, IEEE International Conference on Acoustics, Speech and Signal Processing, mai 2020, Barcelona, Espagne.
    • [19] M. Lagrange, F. Gontier. Bandwidth extension of musical audio signals with no side information using dilated convolutional neural networks. In IEEE ICASSP, mai 2020, Barcelona, Espagne.
    • [20] A. Jiménez-Sánchez, A. Kazi, S. Albarqouni, C. Kirchhoff, P. Biberthaler, N. Navab, S. Kirchhoff, D. Mateus. Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning. In International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), juin 2020, Munich, Allemagne.
    • [22] C. Fourcade, L. Ferrer, G. Santini, N. Moreau, C. Rousseau, M. Lacombe, C. Guillerminet, M. Colombié, M. Campone, D. Mateus, M. Rubeaux. Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images *. In EMBC - Engineering in Medecine and Biology Conference, juillet 2020, Montréal, Canada.
    • [23] N. Moreau, C. Rousseau, C. Fourcade, G. Santini, L. Ferrer, M. Lacombe, C. Guillerminet, M. Campone, M. Colombié, M. Rubeaux, N. Normand. Deep learning approaches for bone and bone lesion segmentation on 18 FDG PET/CT imaging in the context of metastatic breast cancer*. In EMBC - Engineering in Medecine and Biology Conference, juillet 2020, Montréal, Canada.
    • [24] V. Gonzalez Duque, D. Al Chanti, M. Crouzier, A. Nordez, L. Lacourpaille, D. Mateus. Spatio-temporal Consistency and Negative Label Transfer for 3D freehand US Segmentation. In the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention,, octobre 2020, Lima, Pérou.
    • [25] S. Labouesse, J. Idier, A. Sentenac, T. Mangeat. Uniqueness of the Random Illumination Microscopy Variance Equation. In International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, décembre 2020, Online, France.
    • [26] T. Nguyen, C. Soussen, J. Idier, E. Djermoune. Exact recovery analysis of non-negative orthogonal greedy algorithms. In International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, iTWIST 2020, décembre 2020, Nantes, France.
    • [27] E. Carcreff, M. Polichetti, F. Varray, N. Laroche, B. Nicolas. Real-time ultrasonic imaging with a nonlinear beamformer based on p-th root compression. In Forum Acusticum, décembre 2020, Lyon, France.
    • [30] N. Laroche, E. Carcreff, J. Idier, A. Duclos, S. Bourguignon. An inverse problem framework for ultrasonic imaging in attenuative and dispersive media. In Forum Acusticum, décembre 2020, Lyon, France.

National conferences with reviewing committee (COMM_NAT)

    • [31] C. Fourcade, G. Santini, L. Ferrer, C. Rousseau, M. Colombié, M. Campone, M. Rubeaux, D. Mateus. Active Organs Segmentation in Metastatic Breast Cancer Images combining Superpixels and Deep Learning Methods. In NTHS - Nuclear Technology for Health Symposium, février 2020, Nantes, France.
    • [32] L. Morvan, T. Carlier, D. Mateus. The Limitations of Deep Learning: A Focus on Survival Analysis with PET Images.. In 4th Nuclear Technologies for Health Symposium (NTHS 2020), février 2020, Nantes, France.
    • [33] R. Ben Mhenni, S. Bourguignon, J. Ninin. Algorithme branch-and-bound pour l’approximation parcimonieuse en traitement du signal et en statistiques. In 20è conférence ROADEF, avril 2020, Montpellier, France.

Books - books sections - directions of work or proceedings (OUV)

    • [35] L. Morvan, C. Nanni, A. Michaud, B. Jamet, C. Bailly, C. Bodet-Milin, S. Chauvie, C. Touzeau, P. Moreau, E. Zamagni, F. Kraeber-Bodéré, T. Carlier, D. Mateus. Learned Deep Radiomics for Survival Analysis with Attention. In Predictive Intelligence in Medicine (PRIME) 2020, Held in Conjunction with MICCAI 2020, Lima, Peru. 01-10-2020
    • [36] O. Bordron, C. Huneau, E. Le Carpentier, Y. Aoustin. Human squat motion: joint torques estimation with a 3D model and a sagittal model. In New trends in medical and service robotics (Springer). 11-11-2020
    • [37] J. Petiot, D. Blumenthal, E. Poirson. Interactive Genetic Algorithm to Collect User Perceptions. Application to the Design of Stemmed Glasses. In Nature-Inspired Methods for Metaheuristics Optimization. 2020

PhD Thesis (THESE)

    • [39] S. Levilly. Quantification de biomarqueurs hémodynamiques en imagerie cardiovasculaire par résonance magnétique de flux 4D. Thèses : École centrale de Nantes.

Other publications (AUTRES)

    • [42] S. Gassama, N. Philippe, K. Akhmadeev, L. Souquières, A. Houssein, S. Moussaoui, D. Laplaud, P. Gourraud. The Rise of Connected Tools in Medicine : Evaluating Neurological Deficits in Lower Limbs With The MYO Armband in Multiple Sclerosis Patients. In 2020 Annual Meeting of American Academy of Neurology, avril 2020, Toronto, Canada.
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