Publications

Journal papers:

  • O. Campion, J. Thevenard Devy, C. Billottet, C. Schneider, N. Etique, J.-W. Dupuy, A.-A. Raymond, C. Boulagnon Rombi, M. Meunier, E.-H. Djermoune, E. Lelièvre, A. Wahart, C. Bour, C. Hachet, S. Cairo, A. Bikfalvi, S. Dedieu, and J. Devy. LRP-1 Matricellular Receptor Involvement in Triple Negative Breast Cancer Tumor Angiogenesis. Biomedicines 2021, 9, 1430 [doi].

  • T. T. Nguyen, C. Soussen, J. Idier, and E.-H. Djermoune. K-step analysis of orthogonal greedy algorithms for non-negative sparse representations. Signal Processing 188 (2021) 108185 [hal].
  • L. Belmerhnia, E.-H. Djemoune, C. Carteret, and D. Brie. Simultaneous variable selection for the classification of near infrared spectra. Chemometrics and Intelligent Laboratory Systems, 211 (2021) 104268 [preprint][data and Matlab codes]
  • C. Fuselier, S. Quemener, E. Dufay, C. Bour, C. Boulagnon-Rombi, N. Bouland, E.-H. Djermoune, J. Devy, L. Martiny, and C. Schneider. Anti-tumoral and anti-angiogenic effects of low-diluted Phenacetinum on melanoma. Frontiers in Oncology, section Skin Cancer, 11:597503 (2021) [link].
  • P. Guyot, E.-H. Djermoune, B. Chenuel, and T. Bastogne. A signal demodulation-based method for the early detection of Cheyne-Stokes respiration. PLoS ONE 15(3): e0221191, Mar 2020 [PLoS][biorxiv].
  • T. T. Nguyen, J. Idier, C. Soussen, and E.-H. Djermoune. Non-negative orthogonal greedy algorithms. IEEE Transactions on Signal Processing, 61(21), pp. 5643-5658, 2019 [hal].
  • Y. Song, E.-H. Djermoune, J. Chen, C. Richard, and D. Brie. Online deconvolution for industrial hyperspectral imaging systems. SIAM Journal on  Imaging Sciences (SIIMS), 12(1), pp. 54–86, 2019 [hal].
  • C. Thiebaut, C. Chamard-Jovenin, A. Chesnel, C. Morel, E.-H. Djermoune, T. Boukhobza, and H. Dumond. Mammary epithelial cell phenotype disruption in vitro and in vivo through ERalpha36 overexpression. PLoS One 12(3): e0173931, Mar 2017.
  • K. El Alaoui-Lasmaili, E.-H. Djermoune, J.-B. Tylcz, D. Meng, F. Plénat, N. Thomas, and B. Faivre. A new algorithm for a better characterization and timing of the anti-VEGF vascular effect named “normalization”. Angiogenesis 20(1), pp. 149–162, Feb 2017.
  • S. Sahnoun, E.-H. Djermoune, D. Brie, and P. Comon. A simultaneous sparse approximation method for multidimensional harmonic retrieval. Signal Processing, vol. 131, pp. 36–48, Feb 2017 [hal].
  • Y. Song, D. Brie, E.-H. Djermoune, and S. Henrot. Regularization parameter estimation for non-negative hyperspectral image deconvolution. IEEE Transactions on Image Processing, 25(11):5316–5330, 2016 [hal] [supplementary material]
  • J.-B. Tylcz, K. El Alaoui-Lasmaili, E.-H. Djermoune, N. Thomas, B. Faivre, and T. Bastogne. Data-driven modeling and characterization of anti-angiogenic molecule effects on tumoral vascular density. Biomedical Signal Processing and Control, 20:52–60, July 2015.
  • E.-H. Djermoune, M. Tomczak, and D. Brie. NMR data analysis: A time-domain parametric approach using adaptive sub band decomposition. Oil & Gas Science and Technology - Rev. IFP Energies nouvelles Special issue on Advances in Signal Processing and Image Analysis for Physico-Chemical, Analytical Chemistry and Chemical Sensing, 69:229–244, 2014 [hal] .
  • S. Sahnoun, E.-H. Djermoune, C. Soussen, and D. Brie. Sparse multidimensional modal analysis using a multigrid dictionary refinement. EURASIP Journal on Advances in Signal Processing, 60, 2012 [hal].
  • J.-P. Planckaert, E.-H. Djermoune, D. Brie, F. Briand, and F. Richard. Modeling of MIG/MAG welding with experimental validation using an active contour algorithm applied on high speed movies. Applied Mathematical Modelling, 34(4):1004–1020, 2010 [preprint].
  • E.-H. Djermoune and M. Tomczak. Perturbation analysis of subspace-based methods in estimating a damped complex exponential. IEEE Transactions on Signal Processing, 57(11):4558–4563, 2009 [preprint].
  • E.-H. Djermoune, M. Tomczak, and P. Mutzenhardt. A new adaptive subband decomposition approach for automatic analysis of NMR data. Journal of Magnetic Resonance, 169:73–84, 2004.
  • M. Tomczak and E.-H. Djermoune. A subband ARMA modeling approach to high resolution NMR spectroscopy. Journal of Magnetic Resonance, 158(1):86–98, 2002. 

Preprints:

  • S. Sadeg, J. Cauzid, E.-H. Djermoune, C. Fabre, Y. Song, and D. Brie. Estimation de la ligne de base d'images hyperspectrales. 2023 [technical report][Matlab code].
  • L. Batista, E.-H. Djemoune, T. Batogne, and A. Gégout-Petit. A population-based method for the identification of ARX models. 2020 [technical report].
  • S. Sahnoun, E.-H. Djermoune, D. Brie. A comparative study of subspace-based methods for 2-D nuclear magnetic resonance spectroscopy signals. 2010 [hal].

Book chapters:

  • S. Henrot, E.-H. Djermoune, and D. Brie. Supervision and safety of complex systems. In Yves Vandenboomgaerde Nada Matta and Jean Arlat, editors, SVM time-frequency classification for the detection of injection states, pages 231–245. ISTE Ltd and John Wiley Sons Inc, 2012.
  • S. Henrot, E.-H. Djermoune, and D. Brie. Supervision, surveillance et sûreté de fonc- tionnement des grands systèmes. In Yves Vandenboomgaerde et Jean Arlat Nada Matta, editor, Classification temps-fréquence par SVM pour la détection d’états d’injection, pages 273–288. Hermès, 2012.
  • M. Tomczak, E.-H. Djermoune, and P. Mutzenhardt. Progress in magnetic resonance research. In Bernard C. Castelman, editor, High-resolution MR spectroscopy via adaptive sub-band decomposition, pages 241–289. Novascience Publishers, 2007. 

International conference papers:

  • C. Soussen, J. Idier, and E.-H. Djermoune. Exact recovery analysis of non-negative orthogonal greedy algorithms. In iTWIST Workshop, Nantes, France, 2020.

  • Y. Song,  E.-H. Djermoune, D. Brie, and C. Richard. Joint unmixing-deconvolution algorithms for hyperspectral images​. In 27th European Signal Processing Conference, EUSIPCO 2019, Coruna, Spain, 2019 [hal].

  • P. Guyot, E.-H. Djermoune, T. Bastogne, and B. Chenuel. A single ECG lead-based oscillation index for the quantification of periodic breathing in severe heart failure patients. In 27th European Signal Processing Conference, EUSIPCO 2019, Coruna, Spain, 2019.

  • T. T. Nguyen, C. Soussen, J. Idier, and E.-H. Djermoune. NP-hardness of l0 minimization problems: revision and extension to the non-netative setting. In 13th International Conference on Sampling Theory and Applications, SampTA 2019, Bordeaux, France, July 2019 [hal].

  • T. T. Nguyen, C. Soussen, J. Idier, and E.-H. Djermoune. Exact recovery analysis of non-negative orthogonal matching pursuit. In SPARS 2019, Toulouse, France, July 2019 [hal].

  • P. Guyot, E.-H. Djermoune, and Thierry Bastogne. Assessment of non-negative matrix factorization for the preprocessing of long-term ECG. In Annual Meeting of Safety Pharmacology Society, SPS 2018, Washington DC, United States, sept. 2018.

  • P. Guyot, P. Voiriot, E.-H. Djermoune, S. Papelier, C. Lessard, M. Felices, and T. Bastogne. R-peak detection in holter ECG signals using non-negative matrix factorization. In 45th Computing in Cardiology Conference, CinC 2018, Maastricht, Netherlands, sept. 2018 [hal].

  • P. Guyot, B. Chenuel, E.-H. Djermoune, and T. Bastogne. Early detection of Cheyne-Stokes breathing via ECG-derived respiration in patients with severe heart failure: A pilot study. In 45th Computing in Cardiology Conference, CinC 2018, Maastricht, Netherlands, sept. 2018 [hal].
  • Y. Song, E.-H. Djermoune, J. Chen, C. Richard, and D. Brie. Online deconvolution for industrial hyperspectral imaging systems. In European Network for Business and Industrial Statistics, ENBIS-18, Nancy, France, sept. 2018.
  • E.-H. Djermoune, T. Aiguier, C. Carteret, and D. Brie. Simultaneous sparse approximation for variable selection and classification. Application to near infrared spectra and hyperspectral images of wood wastes. In European Network for Business and Industrial Statistics, ENBIS-18, Nancy, France, sept. 2018.
  • Y. Song,  E.-H. Djermoune, J. Chen, C. Richard, and D. Brie. Online deconvolution for pushbroom hyperspectral imaging systems. In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017, Curaçao, Dutch Antilles, 2017 [hal].
  • P. Guyot, L. Batista,  E.-H. Djermoune, J.-M. Moureaux, L. Doerr, M. Beckler, and T. Bastogne. Comparison of compression solutions for impedance and field potential signals of cardiomyocytes. In Proc. of the 44th Annual Conference on Computing in Cardiology, CinC'17, Rennes, France, 2017.
  • L. Batista, E.-H. Djermoune, and T. Bastogne. Identification of dynamical systems population described by a mixed effect ARX model structure. In 20th IFAC World Congress, Toulouse, France, 2017.
  • Y. Song, D. Brie, E.-H. Djermoune, and S. Henrot. Minimum distance criterion for nonnegative image deconvolution. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2016, Shanghai, China, 2016 [hal].
  • L. Belmerhnia, E.-H. Djermoune, C. Carteret, and D. Brie. A regularized sparse approximation method for hyperspectral image classification. In IEEE Statistical Signal Processing Conference, SSP 2016, Palma de Mallorca, Spain, 2016 [hal].
  • C. Chamard-Jovenin, A. Chesnel, E. Bresso, C. Morel, C. Thiébaut, M. Smail-Tabbone, E.-H. Djermoune, M.-D. Devignes, T. Boukhobza, and H. Dumond. Transgenerational effects of ERalpha36 over-expression on mammary gland development and molecular phenotype: clinical perspective for breast cancer risk and therapy. In 21st World Congress on Advances in Oncology and 19th International Symposium on Molecular Medicine, Athens, Greece, 2016.
  • L. Batista, T. Bastogne, and E.-H. Djermoune. Parameters identification of a population of systems based on EM algorithm. In The Population Approach Group Meeting, PAGE, Lisbon, Portugal, 2016.
  • L. Batista, T. Bastogne, and E.-H. Djermoune. Identification of dynamical biological systems based on mixed-effect models. In Symposium on Applied Computing, ACM-SAC, Pisa, Italy, 2016. 
  • L. Belmerhnia, E.-H. Djermoune, C. Carteret, and D. Brie. Simultaneous regularized sparse approximation for wood wastes NIR spectra features selection. In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, 2015 [hal].
  • C. Chamard, A. Chesnel, E.-H. Djermoune, C. Morel, T. Boukhobza, and H. Dumond. Long chain alkylphenol mixture promotes breast cancer initiation and progression through an ERα36-mediated mechanism. In 2ème colloque scientifique de la Fondation Rovaltain, Valence, France, 2015.
  • L. Batista, T. Bastogne, and E.-H. Djermoune. Identification of biological dynamic systems described by random effects models. In IEEE Engineering in Medicine and Biology Conference, EMBC 2015, Milan, Italy, 2015.
  • L. Belmerhnia, E.-H. Djermoune, and D. Brie. Greedy methods for simultaneous sparse approximation. In European Signal Processing Conference, EUSIPCO 2014, Lisbon, Portugal, 2014 [hal].
  • S. Sahnoun, E.-H. Djermoune, and D. Brie. Sparse modal estimation of 2-D NMR signals. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, Canada, 2013 [hal].
  • P. Robert, O. Challaf, E.-H. Djermoune, D. Brie, and C. Fabre. Spectra processing for minor elements detection using single pulse LIBS at microscopic scale. In Euro-Mediterranean Symposium on LIBS, EMSLIBS 2013, Bari, Italie, 2013.
  • S. Sahnoun, E.-H. Djermoune, and D. Brie. Sparse multigrid modal estimation: Initial grid selection. In European Signal Processing Conference, EUSIPCO 2012, Bucharest, Roumania, 2012 [hal].
  • S. Sahnoun, E.-H. Djermoune, and D. Brie. Sparse multiresolution modal estimation. In IEEE Statistical Signal Processing Workshop, SSP 2011, Nice, France, 2011 [abstract].
  • E.-H. Djermoune, M. Thomassin, and M. Tomczak. First-order analysis of the mode and amplitude estimates of a damped sinusoid using Matrix Pencil. In European Signal Processing Conference, EUSIPCO 2009, Glasgow, Scotland, 2009 [pdf].
  • E.-H. Djermoune, D. Brie, and M. Tomczak. A subband algorithm for estimating the parameters of two-dimensional exponential signals. In European Signal Processing Conference, EUSIPCO 2009, Glasgow, Scotland, 2009 [pdf].
  • E.-H. Djermoune, G. Kasalica, and D. Brie. Estimation of the parameters of two- dimensional NMR spectroscopy signals using and adapted subband decomposition. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, Las Vegas, USA, April 2008.
  • J.-P. Planckaert, E.-H. Djermoune, D. Brie, F. Briand, and F. Richard. Metal transfer characterization with an active contour algorithm in MIG/MAG welding movies. In IEEE International Conference on Automation Science and Engineering, CASE 2007, pages 933– 938, Scottsdale, USA, 2007.
  • J.-P. Planckaert, E.-H. Djermoune, D. Brie, F. Briand, and F. Richard. Droplet features extraction with a dynamic active contour for MIG/MAG welding modelling. In International Conference on Systems Engineering, ICSE 2006, pages 365–370, Coventry, England, 2006 [hal].
  • E.-H. Djermoune and M. Tomczak. Statistical analysis of the Kumaresan-Tufts and Matrix Pencil methods in estimating a damped sinusoid. In European Signal Processing Conference, EUSIPCO 2004, Vienna, Austria, 2004.
  • E.-H. Djermoune and M. Tomczak. An adapted filterbank for frequency estimation. In European Signal Processing Conference, EUSIPCO 2004, Vienne, Autriche, 2004. 
  • E.-H. Djermoune and M. Tomczak. An adaptive subband decomposition method for high resolution nuclear magnetic resonance spectroscopy. In International Symposium on Physics in Signal and Image Processing, PSIP 2003, Grenoble, France, 2003.
  • E.-H. Djermoune and M. Tomczak. SNR enhancement of damped exponential signals in noise. In European Signal Processing Conference, EUSIPCO 2002, Toulouse, France, 2002. 

French conference papers:

  • Y. Song, E.-H. Djermoune, D. Brie, and C. Richard, and D.Brie. Séparation et déconvolution conjointes d'images hyperspectrales​. In 27ème Colloque GRETSI Traitement du Signal & des Images, Lille, France, 2019 [hal].
  • T. T. Nguyen, C. Soussen, J. Idier, and E.-H. Djermoune. Algorithmes gloutons orthogonaux pour la reconstruction de signaux parcimonieux positifs​. In 27ème Colloque GRETSI Traitement du Signal & des Images, Lille, France, 2019 [hal].
  • P. Guyot, E.-H. Djermoune, B. Chenuel, and T. Bastogne. Estimation d'un indice d’oscillation à partir d’un signal ECG pour la quantification de la respiration périodique chez des patients insuffisants cardiaques sévères. In 27ème Colloque GRETSI Traitement du Signal & des Images, Lille, France, 2019.
  • Y. Song, E.-H. Djermoune, J. Chen, C. Richard, and D.Brie. Déconvolution en ligne d'images hyperspectrales pour les systèmes d'imagerie pushbroom. In 26ème Colloque GRETSI Traitement du Signal & des Images, Juan-les-Pins, France, 2017 [hal].
  • T. Nguyen, C. Soussen, J. Idier, and E.-H. Djermoune. An optimized version of non-negative OMP. In 26ème Colloque GRETSI Traitement du Signal & des Images, Juan-les-Pins, France, 2017 [hal].
  • K. El Alaoui-Lasmaili, E.-H. Djermoune, J.-B. Tylcz, D. Meng, F. Plénat, N. Thomas, B. Faivre. Identification de la période de "normalisation" vasculaire induite par le bevacizumab, in vivo, à l'aide d'un algorithme de traitement d'images. In ONCOTRANS 2017, Besançon, France, 2017.
  • L. Belmerhnia, E.-H. Djermoune, C. Carteret, and D. Brie. Approximation parcimonieuse simultanée constante par morceaux. In 25ème Colloque GRETSI Traitement du Signal & des Images, Lyon, France, 2015 [hal].
  • L. Batista, T. Bastogne, and E.-H. Djermoune. Identification de systèmes biologiques dynamiques à effets aléatoires. In 25ème Colloque GRETSI Traitement du Signal & des Images, Lyon, France, 2015.
  • K. El Alaoui Lasmaili, J.-B. Tyclz, E.-H. Djermoune, N. Thomas, and B. Faivre. Optimization of the use of anti-angiogenics in glioblastoma using mathematical modeling. In 6ème Congrès de la Société Française d’Angiogenèse, Paris, France, 2015.
  • L. Batista, T. Bastogne, and E.-H. Djermoune. Classification des réponses de cellules cancéreuses fondée sur l’analyse de signaux d’impédancemétrie cellulaire. In Congrès Chimiométrie XVI, Geneva, Switzerland, 2015.
  • K. El Alaoui Lasmaili, J.-B. Tylcz, E.-H. Djermoune, N. Thomas, and B. Faivre. Characterization of the anti-angiogenic and anti-vascular effects of bevacizumab using mathematical tools: an effective way to determine the normalization window? In 5ème Congrès de la Société Française d’Angiogenèse, Chamonix, France, April 2014.
  • S. Sahnoun, E.-H. Djermoune, and D. Brie. Estimation modale de signaux 2-D par ap- proximation parcimonieuse simultanée. In 24ème Colloque GRETSI Traitement du Signal & des Images, Brest, France, 2013 [hal].
  • V. Mazet, C. Soussen, and E.-H. Djermoune. Décomposition de spectres en motifs paramétriques par approximation parcimonieuse. In 24ème Colloque GRETSI Traitement du Signal & des Images, Brest, France, 2013.
  • S. Sahnoun, E.-H. Djermoune, C. Soussen, and D. Brie. Analyse modale bidimensionnelle par approximation parcimonieuse et multirésolution. In 23ème Colloque GRETSI Traitement du Signal & des Images, Bordeaux, France, 2011 [hal]. 

Reports:

  • PhD thesis. Estimation des paramètres de sinusoïdes amorties par décomposition en sous-bandes adaptative. Application à la spectroscopie RMN. CRAN, Université Henri Poincaré, Jul 2003 [hal]
  • HDR. Contributions à l'estimation fréquentielle multidimensionnelle et à la sélection de variables en spectroscopie​. CRAN, Université de Lorraine, Dec 2017 [hal]