Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

1V. L. Coli, P.-H. Tournier, V. Dolean, I. El Kanfoud, C. Pichot, C. Migliaccio, L. Blanc-Féraud.

Detection of Simulated Brain Strokes Using Microwave Tomography, in: IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, June 2019, vol. 1, 1 p. [ DOI : 10.1109/JERM.2019.2921076 ]

https://hal.archives-ouvertes.fr/hal-02149100
2F. De Graeve, E. Debreuve, S. Rahmoun, S. Ecsedi, A. Bahri, A. Hubstenberger, X. Descombes, F. Besse.

Detecting and quantifying stress granules in tissues of multicellular organisms with the Obj.MPP analysis tool, in: Traffic, July 2019. [ DOI : 10.1111/tra.12678 ]

https://hal.archives-ouvertes.fr/hal-02193101
3J. Dichamp, C. Barreau, C. Guissard, A. Carrière, Y. Martinez, X. Descombes, L. Penicaud, J. Rouquette, L. Casteilla, F. Plouraboué, A. Lorsignol.

3D analysis of the whole subcutaneous adipose tissue reveals a complex spatial network of interconnected lobules with heterogeneous browning ability, in: Scientific Reports, December 2019, vol. 9, n^o 1. [ DOI : 10.1038/s41598-019-43130-9 ]

https://hal.archives-ouvertes.fr/hal-02136531
4E. Soubies, L. Blanc-Féraud, G. Aubert.

New Insights on the Optimality Conditions of the l2-l0 Minimization Problem, in: Journal of Mathematical Imaging and Vision, 2019, forthcoming. [ DOI : 10.1007/s10851-019-00917-9 ]

https://hal.inria.fr/hal-02144528
5E. Soubies, A. Radwanska, D. Grall, L. Blanc-Féraud, E. Van Obberghen-Schilling, S. Schaub.

Nanometric axial resolution of fibronectin assembly units achieved with an efficient reconstruction approach for multi-angle-TIRF microscopy, in: Scientific Reports, December 2019, vol. 9, n^o 1. [ DOI : 10.1038/s41598-018-36119-3 ]

https://hal.inria.fr/hal-02017844

International Conferences with Proceedings

6A. Bechensteen, L. Blanc-Féraud, G. Aubert.

New methods for $ℓ_{2} - ℓ_{0}$ minimization and their applications to 2D Single-Molecule Localization Microscopy, in: IEEE International Symposium on Biomedical Imaging, Venice, Italy, July 2019. [ DOI : 10.1109/ISBI.2019.8759567 ]

https://hal.inria.fr/hal-02107577
7V. L. Coli, P.-H. Tournier, V. Dolean, I. El Kanfoud, C. Pichot, C. Migliaccio, L. Blanc-Féraud.

Detection of Brain Strokes Using Microwave Tomography, in: IEEE 2018 - International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Boston, United States, IEEE, January 2019, pp. 223-224. [ DOI : 10.1109/APUSNCURSINRSM.2018.8609404 ]

https://hal.archives-ouvertes.fr/hal-01824526
8K. Giulietti, L. Guillaume, A. Charazac, C. Stéphan, F. Bost, X. Descombes.

An Adaptative Threshold Operator Taking Shape into Account: Application to Mitochondrial Network Segmentation, in: IEEE International Symposium on Biomedical Imaging, Venise, Italy, April 2019. [ DOI : 10.1109/ISBI.2019.8759501 ]

https://hal.archives-ouvertes.fr/hal-02389038
9E. Poulain, G. Malandain, R. Vaillant.

3D Coronary Vessel Tree Tracking in X-Ray Projections, in: FIMH 2019 - 10th Functional Imaging and Modeling of the Heart, Bordeaux, France, Functional Imaging and Modelling of the Heart, Springer, May 2019, vol. Lecture Notes in Computer Science, n^o 10263, pp. 388-396. [ DOI : 10.1007/978-3-319-59448-4_20 ]

https://hal.inria.fr/hal-02153710
10E. Soubies, L. Blanc-Féraud, S. Schaub, E. Van Obberghen-Schilling.

Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation, in: IEEE International Symposium on Biomedical Imaging, Venise, Italy, April 2019. [ DOI : 10.1109/ISBI.2019.8759103 ]

https://hal.inria.fr/hal-02017862
11J. H. de Morais Goulart, L. Blanc-Féraud, E. Debreuve, S. Schaub.

A study on tensor and matrix models for super-resolution fluorescence microscopy, in: CAMSAP 2019 - IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Le Gosier, Guadeloupe, Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, December 2019.

https://hal.archives-ouvertes.fr/hal-02309659

National Conferences with Proceedings

12A. Bechensteen, L. Blanc-Féraud, G. Aubert.

Exact biconvex reformulation of the $L 2 - L 0$ minimization problem, in: GRETSI 2019, Lille, France, August 2019.

https://hal.inria.fr/hal-02382369
13A.-I. Grapa, L. Blanc-Féraud, E. Van Obberghen-Schilling, X. Descombes.

Optimal Transport vs Many-to-many assignment for Graph Matching, in: GRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images, Lille, France, August 2019.

https://hal.archives-ouvertes.fr/hal-02279634

Conferences without Proceedings

14V. L. Coli, D. Binder, L. Blanc-Féraud, S. Cohen, L. Gomart, J. Leblond.

Modélisation 3D des fabriques et identification des techniques : nouvelles méthodes de segmentation et de reconnaissance de formes, in: Céramiques imprimées de Méditerranée occidentale. Matières premières, productions, usages, Nice, France, Didier Binder and Stéphane Azoulay and Alain Burr and Claire Manen and Martine Regert and Chrystèle Vérati, 2019.

https://hal.archives-ouvertes.fr/hal-02398835
15L. Gomart, D. Binder, L. Blanc-Féraud, S. Cohen, V. L. Coli, L. Drieu, M. Gabriele, J. Leblond, D. Pisani, S. Sorin.

Des macro-traces au synchrotron : premiers résultats et enjeux relatifs aux méthodes de montage des céramiques, in: Céramiques imprimées de Méditerranée occidentale. Matières premières, productions, usages, Nice, France, Didier Binder and Stéphane Azoulay and Alain Burr and Claire Manen and Martine Regert and Chrystèle Vérati, 2019.

https://hal.archives-ouvertes.fr/hal-02398865
16S. Laroui, E. Debreuve, X. Descombes, F. Villalba, F. Villiers, A. Vernay.

Machine-learning assisted phenotyping: From fungal morphology to mode of action hypothesis, in: IUPAC - 14th International Congress of Crop Protection Chemistry, Ghent, Belgium, May 2019.

https://hal.archives-ouvertes.fr/hal-02403936
17E. Soubies, L. Blanc-Féraud, G. Aubert.

On the Local Minimizers of the CEL0 Relaxation, in: SPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations - Workshop, Toulouse, France, July 2019.

https://hal.inria.fr/hal-02263782

Other Publications

18M. Bertalmio, L. Calatroni, V. Franceschi, B. Franceschiello, D. Prandi.

Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling, October 2019, working paper or preprint.

https://hal.archives-ouvertes.fr/hal-02316989
19L. Calatroni, G. Garrigos, L. Rosasco, S. Villa.

Accelerated iterative regularization via dual diagonal descent, December 2019, working paper or preprint.

https://hal.archives-ouvertes.fr/hal-02423682
20M. Lamine Benomar, A. M. Chikh, X. Descombes, M. Benazzouz.

Multi Features Based Approach for White Blood Cells Segmentation and Classification in Peripheral Blood and Bone Marrow Images, September 2019, working paper or preprint.

https://hal.archives-ouvertes.fr/hal-02279352
21S. Parisotto, L. Calatroni, A. Bugeau, N. Papadakis, C.-B. Schönlieb.

Variational Osmosis for Non-linear Image Fusion, October 2019, https://arxiv.org/abs/1910.02012 - 10 pages, 7 figures. [ DOI : 10.02012 ]

https://hal.archives-ouvertes.fr/hal-02314972

References in notes

22A. Beck, Y. C. Eldar.

Sparsity constrained nonlinear optimization: Optimality conditions and algorithms, in: SIAM Journal on Optimization, 2013, vol. 23, n^o 3, pp. 1480–1509.
23S. Gazagnes, E. Soubies, L. Blanc-Féraud.

High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation, in: Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, IEEE, 2017, pp. 28–31.
24A.-I. Grapa, R. Meunier, L. Blanc-Féraud, G. Efthymiou, S. Schaub, A. Radwanska, E. Van Obberghen-Schilling, X. Descombes.

Classification of the fibronectin variants with curvelets, in: ISBI 2018 - IEEE 15th International Symposium on Biomedical Imaging, Washington, DC, United States, April 2018, pp. 930-933. [ DOI : 10.1109/ISBI.2018.8363723 ]

https://hal.archives-ouvertes.fr/hal-01868726
25E. Nehme, L. E. Weiss, T. Michaeli, Y. Shechtman.

Deep-STORM: super-resolution single-molecule microscopy by deep learning, in: Optica, 2018, vol. 5, n^o 4, pp. 458–464.
26G. Peyré, M. Cuturi, J. Solomon.

Gromov-Wasserstein Averaging of Kernel and Distance Matrices, in: ICML 2016, New-York, United States, Proc. 33rd International Conference on Machine Learning, June 2016.

https://hal.archives-ouvertes.fr/hal-01322992
27E. Poulain, G. Malandain, R. Vaillant.

3D Coronary vessel tracking in x-ray projections, in: International Conference on Functional Imaging and Modeling of the Heart (FIMH), Toronto, Canada, LNCS, June 2017, vol. 10263, pp. 204-215. [ DOI : 10.1007/978-3-319-59448-4_20 ]

https://hal.inria.fr/hal-01502128
28D. Sage, H. Kirshner, T. Pengo, N. Stuurman, J. Min, S. Manley, M. Unser.

Quantitative evaluation of software packages for single-molecule localization microscopy, in: Nature methods, 2015, vol. 12, n^o 8, pp. 717–24.
29E. Soubies, L. Blanc-Féraud, G. Aubert.

A Unified View of Exact Continuous Penalties for $ℓ_{2} - ℓ_{0}$ Minimization, in: SIAM Journal on Optimization, 2017, vol. 27, n^o 3, pp. 2034–2060.
30C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich.

Going Deeper with Convolutions, 2014.
31G. Yuan, B. Ghanem.

Sparsity Constrained Minimization via Mathematical Programming with Equilibrium Constraints, in: arXiv:1608.04430, August 2016.
32M. Zaslavskiy, F. Bach, J.-P. Vert.

Many-to-Many Graph Matching: A Continuous Relaxation Approach, in: Machine Learning and Knowledge Discovery in Databases, Berlin, Heidelberg, Springer Berlin Heidelberg, 2010, pp. 515–530.

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