Publications

Links

Here is a link my preprints in HAL.
Here is a link my preprints in astrophysics.

International Journals

  • S. Tairi, S. Anthoine, Y. Boursier, M. Dupont and C. Morel, ProMeSCT: A Proximal Metric Algorithm for Spectral CT, in IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 5, no. 4, pp. 548-558, July 2021, doi: 10.1109/TRPMS.2020.3036028. hal.
  • A. Cherni, E. Piersanti, S. Anthoine, C. Chaux, L. Shintu, M. Yemloul, and B. Torrésani. Challenges in the decomposition of 2D NMR spectra of mixtures of small molecules. Faraday Discussions, May 2019. hal.
  • F. Cherfaoui, V. Emiya, L. Ralaivola and S. Anthoine, Recovery and Convergence Rate of the Frank–Wolfe Algorithm for the m-Exact-Sparse Problem, in IEEE Transactions on Information Theory, vol. 65, no. 11, pp. 7407-7414, Nov. 2019. doi: 10.1109/TIT.2019.2919640. Preprint hal.
  • François-Xavier Dupé and S. Anthoine. Generalized Greedy Alternatives. Applied and Computational Harmonic Analysis, November 2018. hal.
  • S. Anthoine, J.F. Aujol, C. Mélot, and Y. Boursier. Some proximal methods for CBCT and PET tomography. Inverse Problems in Imaging, Inverse Problems and Imaging, Vol. 6, no. 4, Nov. 2012. hal.
  • P. Piro, S. Anthoine, E. Debreuve, and M. Barlaud. Combining spatial and temporal patches for scalable video indexing. Multimedia Tools and Applications, 2010, Volume 48, Number 1, Pages 89-104. hal.
  • S. Pires, J.B. Juin, D. Yvon, Y. Moudden, S. Anthoine, E. Pierpaoli, Sunyaev-Zel'dovich clusters reconstruction in multiband bolometer camera surveys, Astronomy and Astrophysics, 455, 741-755 (2006). Arxiv.
  • E. Pierpaoli, S. Anthoine, K. Huffenberger, I. Daubechies, Reconstructing Sunyaev-Zeldovich clusters in future CMB experiments, Mon.Not.Roy.Astron.Soc. 359 261-271 (2005). Preprint pdf.

Book Chapters

  • J. Benois-Pineau, S. Anthoine, C. Morand, E. Debreuve, J.-Ph. Domenger, W. Bel Haj, and P. Piro. High-quality visual experience, chapter Scalable In- dexing of HD Video. Springer, 2010. hal.

Conference Proceedings

  • A. Cherni, S. Anthoine, C. Chaux. Unmixing 2D HSQC NMR mixtures with β-NMF and sparsity iTWIST : international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Dec 2020, Nantes, France. hal.
  • A. Cherni, S. Anthoine, C. Chaux. β-NMF and sparsity promoting regularizations for complex mixture unmixing. Application to 2D HSQC NMR. 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020, Barcelone, Spain. hal.
  • S. Tairi, S. Anthoine, C. Morel, and Y. Boursier. Simultaneous reconstruction and separation in a spectral ct framework with a proximal variable metric algorithm. In The Fifth International Conference on Image Formation in X-Ray Computed Tomography - CT Meeting, Salt Lake City, United States, May 2018. hal.
  • F. Cherfaoui, V. Emiya, L. Ralaivola, and S. Anthoine. Frank-Wolfe Algorithm for the Exact Sparse Problem. In iTWIST'18 : international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Marseille, France, November 2018. hal.
  • A. Bonnefoy and S. Anthoine. Active gap screening for the lasso. In Procee- dings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16), pages 59–61, 2016.
  • S. Tairi, S. Anthoine, C. Morel, and Y. Boursier. Simultaneous reconstruc- tion and separation in a spectral ct framework. In Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16), pages 50–52, 2016.
  • S. Tairi, S. Anthoine, C. Morel, and Y. Boursier. Simultaneous reconstruction and separation in a spectral ct framework. In 2016 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2016.
  • F.-X. Dupé and S. Anthoine. Generalized subspace pursuit and an applica- tion to sparse poisson denoising. In IEEE International Conference on Image Processing (ICIP), 2014. hal.
  • F.-X. Dupé and S. Anthoine, A greedy approach to sparse poisson denoising . In IEEE International Workshop on Machine Learning for Signal Processing , MLSP, Southampton, UK, Sept. 2013. hal.
  • T. Peel, V. Emiya, S. Anthoine and L. Ralaivola, Matching Pursuit With Stochastic Selection. In Proceedings of the 20th European Signal Processing Conference, EUSIPCO, Bucarest, Romania, Sept. 2012. hal.
  • S. Anthoine, J.F. Aujol, C. Mélot, and Y. Boursier, Some proximal methods for CBCT and PET tomography. In SPIE conference proccedings, San Diego, USA, August 2011.
  • P. Machart, T. Peel, S. Anthoine, L. Ralaivola, and H. Glotin. Stochastic low-rank kernel learning for regression. In Proc. of the 28th International Conference on Machine Learning, June 2011. hal.
  • S. Anthoine, J.F. Aujol, C. Mélot, and Y. Boursier, On the efficiency of proximal methods in CBCT and PET. In ICIP, Brussels, Sept. 2011.hal.
  • T. Peel, S. Anthoine, and L. Ralaivola. Empirical bernstein inequalities for U-Statistics. In Adv. in Neural Information Processing Systems (NIPS), Vancouver, Canada, Dec. 2010. hal.
  • P. Piro, S. Anthoine, E. Debreuve, and M. Barlaud. Scalable spatio-temporal video indexing using sparse multiscale patches. In CBMI, Chania, Greece, June 2009. Preprint pdf.
  • P. Piro, S. Anthoine, E. Debreuve, and M. Barlaud. Sparse multiscale patches (smp) for image categorization. In Advances in Multimedia Modeling, Sophia-Antipolis, France, January 2009. Preprint pdf.
  • P. Piro, S. Anthoine, E. Debreuve, and M. Barlaud. Sparse multiscale patches for image processing. In ETVC, volume 5416 of LNCS. Springer, 2009. Preprint pdf. hal.
  • P. Piro, S. Anthoine, E. Debreuve, and M. Barlaud. Image retrieval via kullback-leibler divergence of patches of multiscale coefficients in the knn framework. In CBMI, London, UK, June 2008. Preprint pdf.
  • S. Anthoine, P. Piro, E. Debreuve, and M. Barlaud. Using neighborhood distributions of wavelet coefficients for on-the-fly, multiscale-based image retrieval. In WIAMIS, Klagenfurt, Austria, May 2008. Preprint pdf.
  • S. Anthoine. Simultaneous separation and deconvolution of multispectral data. In J. Phys.: Conf. Ser. 124 012008 (IOP proccedings series, proceedings of the AIP conference, Vancouver, Canada, June 2007). Preprint pdf.
  • S. Anthoine, "Regularization of inverse problems with adaptive discrepancy terms; application to multispectral data, SPIE Wavelets XII, San Diego, August 2007. Preprint pdf.
  • E. Pierpaoli, S. Anthoine, Finding SZ clusters in the ACBAR maps, Advances in Space Research, 36 (2005), 757-761. Preprint pdf.

Conference/Workshop Communications

  • S. Tairi, S. Anthoine, C. Morel, and Y. Boursier. Simultaneous reconstruction and separation in a spectral ct framework. In SIAM Conf. on Imaging Science, Bologna, Italy, June 2018.
  • P. Marchart, L. Baldassare, and S. Anthoine. Non-asymptotic analysis for a computationally optimal trade-off of inexact proximal methods. In SPARS, 2013.
  • P. Marchart, L. Baldassare, and S. Anthoine. Optimal computational trade-off of inexact proximal methods. In Workshop NIPS 2012, 2012.
  • Y. Boursier, M. Dupont, S. Anthoine, J.-F. Aujol, C. Mélot, Proximal Algorithms and CT: New Results on 3D Real Datas and Color CT. In SIAM Conference on Imaging Science, Phildelphia, USA, May 2012.
  • M. Kowalski, P. Weiss, A. Gramfort, and S. Anthoine. Accelerating ISTA. with an active set strategy. In Workshop NIPS Opt2011, 2011.
  • E. Villaron, S. Anthoine, and B. Torrésani. Denoising signal represented by mixtures of multivariate gaussians in a time-frequency dictionary. In SPARS, Edimburgh, June 2011.
  • S. Anthoine, J.F. Aujol, C. Melot, and Y. Boursier. On the efficiency of proximal methods for CBCT and PET reconstruction with sparsity constraint. In SPARS, Edimburgh, June 2011.
  • S. Anthoine and S. Takerkart, A new motion-based super-resolution algorithm for fMRI datasets, OHBM, Florence, June 2006.

Publications in French

  • S. Tairi, S. Anthoine, C. Morel, and Y. Boursier. Séparation et reconstruction simultanées en tomographie spectrale via un algorithme proximal à métrique variable. In Actes du 26e colloque GRETSI, Juan-Les-Pins, France, September 2017.
  • E. Chouzenoux, L. Lamasse, S. Anthoine, C. Chaux, A. Jaouen, I. Vanzetta, and F. Debarbieux. Approche variationnelle pour la déconvolution rapide de données 3D en microscopie biphotonique. In Actes du 25e colloque GRETSI, Lyon, France, September 2015.
  • P. Machart, T. Peel, S. Anthoine, L. Ralaivola, and H. Glotin, Apprentissage stochastique de noyau de rang faible, CaP 2011.
  • S. Anthoine, J.F. Aujol, C. Mélot, and Y. Boursier, Méthodes proximales en tomographie CBCT et TEP, GRETSI 2011.
  • E. Villaron, S. Anthoine, and B. Torrésani, Modèles de mélange de gaussiennes temps-fréquence pour le débruitage de signaux, GRETSI 2011.
  • S. Anthoine, M. Barlaud, Mesures de similarité entre images dans le cadre des problèmes inverses, GRETSI 2007.
  • S. Anthoine, E. Pierpaoli, I. Daubechies, Deux méthodes de déconvolution de mélanges de composantes; application à la reconstruction des amas de galaxies. Short version ps: GRETSI 2005. Long version: Traitement du Signal, 2006, Vol. 23, N° 5-6-NS, p. 439-447.

Ph.D

The title of my Ph.D thesis is Different Wavelet-based Approaches for the Separation of Noisy and Blurred Mixtures of Components. Application to Astrophysical Data.. The thesis can be downloaded here in pdf format (3Mb). pastel

Preprints

  • T. Peel, S. Anthoine, and L. Ralaivola. Empirical Bernstein Inequality for Martingales : Application to Online Learning. Preprint, November 2013. hal
  • P. Machart, S. Anthoine, L. Baldassarre. Optimal Computational Trade-Off of Inexact Proximal Methods. Research report, Aix-Marseille Université, October 2012.