Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Major publications by the team in recent years
G. Attuel, E. G. Gerasimova-Chechkina, F. Argoul, H. Yahia, A. Arnéodo.
Multifractal desynchronization of the cardiac excitable cell network during atrial fibrillation. I. Multifractal analysis of clinical data, in: Frontiers in Physiology, March 2018, vol. 8, pp. 1-30. [ DOI : 10.3389/fphys.2017.01139 ]
G. Attuel, E. Gerasimova-Chechkina, F. Argoul, H. Yahia, A. Arnéodo.
Multifractal Desynchronization of the Cardiac Excitable Cell Network During Atrial Fibrillation. II. Modeling, in: Frontiers in Physiology, April 2019, vol. 10, pp. 480 (1-18). [ DOI : 10.3389/fphys.2019.00480 ]
H. Badri, H. Yahia.
A Non-Local Low-Rank Approach to Enforce Integrability, in: IEEE Transactions on Image Processing, June 2016, 10 p.
H. Badri, H. Yahia, K. Daoudi.
Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis, in: European Conference on Computer Vision, Zürich, Switzerland, ECCV 2014, September 2014.
I. Hernandez-Carrasco, V. Garçon, J. Sudre, C. Garbe, H. Yahia.
Increasing the Resolution of Ocean pCO₂ Maps in the South Eastern Atlantic Ocean Merging Multifractal Satellite-Derived Ocean Variables, in: IEEE Transactions on Geoscience and Remote Sensing, June 2018, pp. 1 - 15. [ DOI : 10.1109/TGRS.2018.2840526 ]
I. Hernández-Carrasco, J. Sudre, V. Garçon, H. Yahia, C. Garbe, A. Paulmier, B. Dewitte, S. Illig, I. Dadou, M. González-Dávila, J. Santana Casiano.
Reconstruction of super-resolution ocean pCO 2 and air-sea fluxes of CO 2 from satellite imagery in the Southeastern Atlantic, in: Biogeosciences, September 2015, 20 p, This work is a contribution to ESA Support To Science Element Grant N◦ 400014715/11/I-NB OceanFlux- Upwelling Theme. The Surface Ocean CO2 Atlas (SOCAT) is an international effort, supported by the International Ocean Carbon Coordination Project (IOCCP), the Surface Ocean Lower Atmo- sphere Study (SOLAS), and the Integrated Marine Biogeochem- istry and Ecosystem Research program (IMBER), to deliver a uni- formly quality-controlled surface ocean CO2 database. The many researchers and funding agencies responsible for the collection of data and quality control are thanked for their contributions to SO- CAT.
V. Khanagha, K. Daoudi, H. Yahia.
Detection of Glottal Closure Instants based on the Microcanonical Multiscale Formalism, in: IEEE Transactions on Audio, Speech and Language Processing, December 2014.
V. Khanagha, K. Daoudi, H. Yahia.
Efficient and robust detection of Glottal Closure Instants using Most Singular Manifold of speech signals, in: IEEE Transactions on Acoustics Speech and Signal Processing, 2014, forthcoming.
S. Maji, H. Yahia, T. Fusco.
A Multifractal-based Wavefront Phase Estimation Technique for Ground-based Astronomical Observations, in: IEEE Transactions on Geoscience and Remote Sensing, November 2015, 11 p. [ DOI : 10.1109/TGRS.2015.2487546 ]
S. K. Maji, H. Yahia.
Edges, Transitions and Criticality, in: Pattern Recognition, January 2014.
O. Pont, A. Turiel, H. Yahia.
Singularity analysis in digital signals through the evaluation of their Unpredictable Point Manifold, in: International Journal of Computer Mathematics, 2012.
J. Sudre, H. Yahia, O. Pont, V. Garçon.
Ocean Turbulent Dynamics at Superresolution From Optimal Multiresolution Analysis and Multiplicative Cascade, in: IEEE Transactions on Geoscience and Remote Sensing, June 2015, vol. 53, no 11, 12 p. [ DOI : 10.1109/TGRS.2015.2436431 ]
A. Turiel, H. Yahia, C. Perez-Vicente.
Microcanonical multifractal formalism: a geometrical approach to multifractal systems. Part I: singularity analysis, in: Journal of Physics A: Math. Theor, 2008, vol. 41.
H. Yahia, J. Sudre, C. Pottier, V. Garçon.
Motion analysis in oceanographic satellite images using multiscale methods and the energy cascade, in: Pattern Recognition, 2010, vol. 43, pp. 3591-3604.
Publications of the year

Articles in International Peer-Reviewed Journals

G. Attuel, E. G. Gerasimova-Chechkina, F. Argoul, H. Yahia, A. Arnéodo.
Multifractal Desynchronization of the Cardiac Excitable Cell Network During Atrial Fibrillation. II. Modeling, in: Frontiers in Physiology, April 2019, vol. 10, pp. 480 (1-18). [ DOI : 10.3389/fphys.2019.00480 ]
J. Barés, N. Brodu, H. Zheng, J. A. Dijksman.
Transparent experiments: releasing data from mechanical tests on three dimensional hydrogel sphere packings, in: Granular Matter, 2020, vol. 22, no 1, 21 p. [ DOI : 10.1007/s10035-019-0985-4 ]
A. El Aouni, K. Daoudi, H. Yahia, S. K. Maji, K. Minaoui.
Defining Lagrangian coherent vortices from their trajectories, in: Physics of Fluids, January 2020, vol. 32, no 1, 016602 p. [ DOI : 10.1063/1.5138899 ]
A. El Aouni, K. Daoudi, H. Yahia, K. Minaoui, A. Benazzouz.
Surface mixing and biological activity in the North-West African upwelling, in: Chaos, January 2019, vol. 29, no 1, 011104 p. [ DOI : 10.1063/1.5067253 ]
A. El Aouni, V. Garçon, J. Sudre, H. Yahia, K. Daoudi, K. Minaoui.
Physical and Biological Satellite Observations of the Northwest African Upwelling: Spatial Extent and Dynamics, in: IEEE Transactions on Geoscience and Remote Sensing, October 2019, pp. 1-13. [ DOI : 10.1109/TGRS.2019.2946300 ]
A. El Aouni, H. Yahia, K. Daoudi, K. Minaoui.
A Fourier approach to Lagrangian vortex detection, in: Chaos, September 2019, vol. 29, no 9, 093106 p. [ DOI : 10.1063/1.5115996 ]
S. K. Maji, H. Yahia.
A Feature based Reconstruction Model for Fluorescence Microscopy Image Denoising, in: Scientific Reports, December 2019, vol. 9, no 1. [ DOI : 10.1038/s41598-019-43973-2 ]

International Conferences with Proceedings

B. Das, K. Daoudi, J. Klempir, J. Rusz.
Towards disease-specific speech markers for differential diagnosis in Parkinsonism, in: ICASSP 2019 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, United Kingdom, May 2019.
A. El Aouni, K. Daoudi, H. Yahia, K. Minaoui.
The contribution and influence of coherent mesoscale eddies off the North-West African Upwelling on the open ocean, in: SIAM Conference on Mathematics of Planet Earth (MPE18), Philadelphia, United States, 2019.

Other Publications

G. Attuel, H. Yahia.
The fall of the reentry paradigm of cardiac fibrillation, July 2019, Second international Summer Institute on Network Physiology, Poster.
References in notes
M. A. Allessie.
Atrial electrophysiologic remodeling : another vicious circle ?, in: J. Cardiovasc. Electrophysiol., 1998, vol. 9, pp. 1378–1393.
M. A. Allessie, I. F. Bonke, F. J. Schopman.
Circus movement in rabbit atrial muscle as a mechanism of tachycardia, in: Circ. Res., 1977, vol. 41, pp. 9–18.
A. Arnéodo, F. Argoul, E. Bacry, J. Elezgaray, J. F. Muzy.
Ondelettes, multifractales et turbulence, Diderot Editeur, Paris, France, 1995.
R. Arora.
Recent Insights Into the Role of the Autonomic Nervous System in the Creation of Substrate for Atrial Fibrillation, in: Circ. Arrhythm. Electrophysiol., 2012, vol. 5, pp. 859–859.
P. Attuel, et al..
Failure in the rate adaptation of the atrial refractory period: its relationship to vulnerability, in: Int. J. Cardio., 1982, vol. 2, no 2, pp. 179–197.
P. Attuel, et al..
Latent atrial vulnerability: new means of electrophysiologic investigations in paroxysmal atrial arrhythmias, in: The Atrium in Health and Disease, P. Attuel, P. Coumel, M. Janse (editors), 1989, pp. 1959–200.
N. Boccara.
Modeling Complex Systems, Springer, New-York Dordrecht Heidelberg London, 2010.
G. Boffetta, M. Cencini, M. Falcioni, A. Vulpiani.
Predictability: a way to characterize complexity, in: Physics Report, 2002, vol. 356, pp. 367–474, arXiv:nlin/0101029v1.
N. Brodu.
Reconstruction of epsilon-machines in predictive frameworks and decisional states, in: Advances in Complex Systems, 2011, vol. 14, no 05, pp. 761-794.
N. Brodu.
Reconstruction of epsilon-machines in predictive frameworks and decisional states, in: Advances in Complex Systems, 2011, vol. 14, no 05, pp. 761–794.
N. Brodu, H. Yahia.
Stochastic Texture Difference for Scale-Dependent Data Analysis, in: arXiv preprint arXiv:1503.03278, 2015.
P. Castiglione, M. Falcioni, A. Lesne, A. Vulpiani.
Chaos and coarse graining in statistical mechanics, Cambridge University Press Cambridge, 2008.
M. Costa, A. L. Goldberger, C.-K. Peng.
Multiscale entropy analysis of complex physiologic time series, in: Physical review letters, 2002, vol. 89, no 6, 068102 p.
P. Coumel.
Paroxysmal Atrial Fibrillation: A Disorder of Autonomic Tone ?, in: Eur. Heart J., 1994, vol. 15, no Supp. A, pp. 9–16.
P. Coumel, et al..
The atrial arrhythmia syndrome of vagal origin, in: Arch. Mal. Coeur. Vaiss., 1978, vol. 71, no 6, pp. 645–656.
J. P. Crutchfield.
Between order and chaos, in: Nature Phys., 2012, vol. 8, pp. 17–24.
J. P. Crutchfield.
Between order and chaos, in: Nature Physics, 2012, vol. 8, no 1, pp. 17–24.
J. P. Crutchfield, K. Young.
Inferring statistical complexity, in: Physical Review Letters, 1989, vol. 63, no 2, 105 p.
G. Falasco, G. Saggiorato, A. Vulpiani.
About the role of chaos and coarse graining in statistical mechanics, in: Physica A: Statistical Mechanics and its Applications, 2015, vol. 418, pp. 94–104.
D. P. Feldman, J. P. Crutchfield.
Measures of statistical complexity: Why?, in: Physics Letters A, 1998, vol. 238, no 4-5, pp. 244–252.
P. Flandrin.
Time-frequency/time-scale analysis, Academic press, 1998, vol. 10.
G. Goerg, C. Shalizi.
Mixed LICORS: A nonparametric algorithm for predictive state reconstruction, in: Artificial Intelligence and Statistics, 2013, pp. 289–297.
R. M. Gray.
Entropy and information theory, Springer Science & Business Media, 2011.
M. Haissaguerre, et al..
Spontaneous initiation of atrial fibrillation by ectopic beats originating in the pulmonary veins, in: N. Engl. J. Med., 1998, vol. 339, no 10, pp. 659–666.
H. Ito, L. Glass.
Spiral breakup in a new model of discrete excitable media, in: Phys. Rev. Lett., 1991, vol. 66, no 5, pp. 671–674.
P. A. Ivanov, et al..
Multifractality in human heartbeat dynamics, in: Nature, 1999, vol. 399, pp. 461–465.
H. Janicke, A. Wiebel, G. Scheuermann, W. Kollmann.
Multifield visualization using local statistical complexity, in: IEEE Transactions on Visualization and Computer Graphics, 2007, vol. 13, no 6, pp. 1384–1391.
J. M. Janse.
Why does atrial fibrillation occur ?, in: Eur. Heart J., 1997, vol. 18, no Suppl. Q, pp. C12–C18.
L. P. Kadanoff.
Statistical physics, statics, dynamics & renormalization, World Scie,tific, 2000.
A. Karma.
Spiral breakup in model equations of action potential propagation in cardiac tissue, in: Phys. Rev. Lett., 1993, vol. 71, no 7, pp. 1103–1106.
N. Komodakis, G. Tziritas.
Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning, in: IEEE Transactions on Image Processing, Nov 2007, vol. 16, no 11, pp. 2649-2661. [ DOI : 10.1109/TIP.2007.906269 ]
M. Martin, A. Plastino, O. Rosso.
Generalized statistical complexity measures: Geometrical and analytical properties, in: Physica A: Statistical Mechanics and its Applications, 2006, vol. 369, no 2, pp. 439–462.
D. Min, S. Choi, J. Lu, B. Ham, K. Sohn, M. Do.
Fast Global Image Smoothing Based on Weighted Least Squares, in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 10 2014, vol. 23. [ DOI : 10.1109/TIP.2014.2366600 ]
A. R. Misier, et al..
Increased dispersion of ’refractoriness’ in patients with idiopathic paroxysmal atrial fibrillation, in: J. Am. Coll. Cardiol., 1992, vol. 19, pp. 1531–1535.
G. Moe, J. A. Abildskov.
Atrial fibrillation as a self-sustaining arrhythmia independent of focal discharge, in: Am. Heart J., 1959, vol. 58, no 1, pp. 59–70.
G. Moe, W. Rheinboldt, J. A. Abildskov.
A computer model of atrial fibrillation, in: Am. Heart J., 1964, vol. 67, no 2, pp. 200–220.
J. Nadal, P. E. Grassberger.
From Statistical Physics to Statistical Inference and Back, Springer, New York Heidelberg Berlin, 1994.
P. Rensma, et al..
Length of excitation wave and susceptibility to reentrant atrial arrhythmias in normal conscious dogs, in: Circ. Res., 1988, vol. 62, no 2, pp. 395–408.
C. R. Shalizi, K. L. Shalizi, R. Haslinger.
Quantifying Self-Organization with Optimal Predictors, in: Phys. Rev. Lett., Sep 2004, vol. 93, 118701 p.
C. R. Shalizi, K. L. Shalizi.
Blind construction of optimal nonlinear recursive predictors for discrete sequences, in: Proceedings of the 20th conference on Uncertainty in artificial intelligence, AUAI Press, 2004, pp. 504–511.
J. Smeets, et al..
The wavelength of the cardiac impulse and reentrant arrhythmias in isolated rabbit atrium. The role of heart rate, autonomic transmitters, temperature, and potassium, in: Circ. Res., 1986, vol. 1, pp. 96–108.
J. L. Starck, F. Murthag, J. Fadili.
Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity, Cambridge University Press, 2010, ISBN:9780521119139.
F. Takens.
Detecting Strange Attractors in Turbulence, in: Non Linear Optimization, 1981, vol. 898, pp. 366–381.
A. Tan, et al..
Autonomic nerves in pulmonary veins, in: Heart Rythm, 2007, vol. 4, no Suppl. 3, pp. S57–S60.
J. Ulphani, et al..
The ligament of Marshall as a parasympathetic conduit, in: Am. J. Physiol. Heart Circ. Physiol., 2007, vol. 293, no 3, pp. H1629–H1635.
V. Venugopal, et al..
Revisting multifractality of high resolution temporal rainfall using a wavelet-based formalism, in: Water Resources Research, 2006, vol. 42.
M. Wijffels, et al..
Atrial fibrillation begets atrial fibrillation. A study in awake chronically instrumented goats, in: Circulation, 1995, vol. 92, no 7, pp. 1954–1968.