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Jean-Claude Nunes
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2020 – today
- 2024
- [j12]Cédric Hémon, Blanche Texier, Hilda Chourak, Antoine Simon, Igor Bessières, Renaud de Crevoisier, Joël Castelli, Caroline Lafond, Anaïs Barateau, Jean-Claude Nunes
:
Indirect deformable image registration using synthetic image generated by unsupervised deep learning. Image Vis. Comput. 148: 105143 (2024) - 2021
- [c11]Hilda Chourak, Anaïs Barateau, Eugenia Mylona
Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning. ISBI 2021: 395-399 - 2020
- [c10]Maxime Pistono, Gouenou Coatrieux, Jean-Claude Nunes, Michel Cozic:
Training Machine Learning on JPEG Compressed Images. DCC 2020: 388
2010 – 2019
- 2019
- [c9]Axel Largent, Jean-Claude Nunes
Pseudo-CT Generation for Mri-only Radiotherapy: Comparative Study Between A Generative Adversarial Network, A U-Net Network, A Patch-Based, and an Atlas Based Methods. ISBI 2019: 1109-1113 - 2018
- [j11]Costanza Simoncini
Towards a patient-specific hepatic arterial modeling for microspheres distribution optimization in SIRT protocol. Medical Biol. Eng. Comput. 56(3): 515-529 (2018) - 2017
- [j10]Hanna Becker, Laurent Albera, Pierre Comon, Jean-Claude Nunes
SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity. NeuroImage 157: 157-172 (2017) - [c8]Axel Largent, Jean-Claude Nunes
Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning. EUSIPCO 2017: 46-50 - 2016
- [c7]Helene Feuillatre, Jean-Claude Nunes
Inexact coronary tree matching algorithm with artificial nodes. EMBC 2016: 4153-4156 - 2013
- [c6]Ahmed Oukili, Jean-Claude Nunes
Object-based 3D binary reconstruction from sparse projections in cone beam CT: Comparison of three projection operators. ISBI 2013: 1276-1279 - 2012
- [c5]Yining Hu, Miyoun Jung, Ahmed Oukili, Guanyu Yang, Jean-Claude Nunes
Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging. ISBI 2012: 804-807 - 2011
- [j9]Julien Fleureau, Amar Kachenoura
Multivariate empirical mode decomposition and application to multichannel filtering. Signal Process. 91(12): 2783-2792 (2011) - [j8]Julien Fleureau, Jean Claude Nunes
Turning Tangent Empirical Mode Decomposition: A Framework for Mono- and Multivariate Signals. IEEE Trans. Signal Process. 59(3): 1309-1316 (2011) - 2010
- [c4]Mathieu Rubeaux, Jean-Claude Nunes
Edgeworth-based approximation of Mutual Information for medical image registration. IPTA 2010: 195-200 - [c3]Julien Fleureau, Amar Kachenoura
3A-EMD: A generalized approach for monovariate and multivariate EMD. ISSPA 2010: 300-303
2000 – 2009
- 2009
- [j7]Jean Claude Nunes
Empirical Mode Decomposition: Applications on Signal and Image Processing. Adv. Data Sci. Adapt. Anal. 1(1): 125-175 (2009) - 2006
- [j6]Johann Dréo, Jean Claude Nunes
Robust rigid registration of retinal angiograms through optimization. Comput. Medical Imaging Graph. 30(8): 453-463 (2006) - 2005
- [j5]Éric Deléchelle, Jean Claude Nunes
Empirical mode decomposition synthesis of fractional processes in 1D- and 2D-space. Image Vis. Comput. 23(9): 799-806 (2005) - [j4]Jean Claude Nunes
Texture analysis based on local analysis of the Bidimensional Empirical Mode Decomposition. Mach. Vis. Appl. 16(3): 177-188 (2005) - 2004
- [j3]Jean Claude Nunes
A multiscale elastic registration scheme for retinal angiograms. Comput. Vis. Image Underst. 95(2): 129-149 (2004) - 2003
- [j2]Jean Claude Nunes
Image analysis by bidimensional empirical mode decomposition. Image Vis. Comput. 21(12): 1019-1026 (2003) - [j1]Yasmina Bouaoune, Marc Kokou Assogba, Jean Claude Nunes
Spatio-temporal characterization of vessel segments applied to retinal angiographic images. Pattern Recognit. Lett. 24(1-3): 607-615 (2003) - [c2]Jean Claude Nunes
Texture analysis based on the bidimensional empirical mode decomposition with gray-level co-occurrence models. ISSPA (2) 2003: 633-635 - [c1]Jean Claude Nunes
Bidimensional Empirical Mode Decomposition Modified for Texture Analysis. SCIA 2003: 171-177
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