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Nicolas Ducros
Nicolas Ducros
University of Lyon, Biomedical Imaging Research Lab
Bestätigte E-Mail-Adresse bei insa-lyon.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Adaptive basis scan by wavelet prediction for single-pixel imaging
F Rousset, N Ducros, A Farina, G Valentini, C d’Andrea, F Peyrin
IEEE Transactions on Computational Imaging 3 (1), 36-46, 2016
1382016
Regularization of nonlinear decomposition of spectral x‐ray projection images
N Ducros, JFPJ Abascal, B Sixou, S Rit, F Peyrin
Medical physics 44 (9), e174-e187, 2017
1032017
Time-resolved multispectral imaging based on an adaptive single-pixel camera
F Rousset, N Ducros, F Peyrin, G Valentini, C D’andrea, A Farina
Optics express 26 (8), 10550-10558, 2018
862018
Fast 3D optical reconstruction in turbid media using spatially modulated light
C D’Andrea, N Ducros, A Bassi, S Arridge, G Valentini
Biomedical optics express 1 (2), 471-481, 2010
662010
Fluorescence molecular tomography of an animal model using structured light rotating view acquisition
N Ducros, A Bassi, G Valentini, G Canti, S Arridge, C D’Andrea
Journal of biomedical optics 18 (2), 020503-020503, 2013
532013
Full-wavelet approach for fluorescence diffuse optical tomography with structured illumination
N Ducros, C D’andrea, G Valentini, T Rudge, S Arridge, A Bassi
Optics letters 35 (21), 3676-3678, 2010
532010
Assessing patterns for compressive fluorescence lifetime imaging
M Ochoa, Q Pian, R Yao, N Ducros, X Intes
Optics letters 43 (18), 4370-4373, 2018
362018
Material decomposition in spectral CT using deep learning: a Sim2Real transfer approach
JFPJ Abascal, N Ducros, V Pronina, S Rit, PA Rodesch, T Broussaud, ...
IEEE Access 9, 25632-25647, 2021
352021
Multiple-view fluorescence optical tomography reconstruction using compression of experimental data
N Ducros, A Bassi, G Valentini, M Schweiger, S Arridge, C D’Andrea
Optics letters 36 (8), 1377-1379, 2011
352011
Multiple-view diffuse optical tomography system based on time-domain compressive measurements
A Farina, M Betcke, L Di Sieno, A Bassi, N Ducros, A Pifferi, G Valentini, ...
Optics letters 42 (14), 2822-2825, 2017
302017
A virtual source pattern method for fluorescence tomography with structured light
N Ducros, C d'Andrea, A Bassi, G Valentini, S Arridge
Physics in Medicine & Biology 57 (12), 3811, 2012
302012
A semi nonnegative matrix factorization technique for pattern generalization in single-pixel imaging
F Rousset, F Peyrin, N Ducros
IEEE Transactions on Computational Imaging 4 (2), 284-294, 2018
282018
Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance
JFPJ Abascal, N Ducros, F Peyrin
Inverse Problems 34 (12), 124003, 2018
272018
A comprehensive study of the use of temporal moments in time-resolved diffuse optical tomography: part I. Theoretical material
N Ducros, L Hervé, A Da Silva, JM Dinten, F Peyrin
Physics in Medicine & Biology 54 (23), 7089, 2009
272009
Single-pixel image reconstruction from experimental data using neural networks
AL Mur, P Leclerc, F Peyrin, N Ducros
Optics Express 29 (11), 17097-17110, 2021
252021
Characterization of ac Voltammetric Reaction− Diffusion Dynamics: From Patterns to Physical Parameters
CA Anastassiou, N Ducros, KH Parker, D O'Hare
Analytical chemistry 78 (13), 4383-4389, 2006
212006
Handling negative patterns for fast single-pixel lifetime imaging
AL Mur, M Ochoa, JE Cohen, X Intes, N Ducros
Molecular-Guided Surgery: Molecules, Devices, and Applications V 10862, 16-25, 2019
192019
A residual U-Net network with image prior for 3D image denoising
JFPJ Abascal, S Bussod, N Ducros, S Si-Mohamed, P Douek, ...
2020 28th European Signal Processing Conference (EUSIPCO), 1264-1268, 2021
182021
Recurrent neural networks for compressive video reconstruction
AL Mur, F Peyrin, N Ducros
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1651-1654, 2020
182020
Quantitative fluorescence diffuse optical tomography in the presence of heterogeneities
T Correia, N Ducros, C D’Andrea, M Schweiger, S Arridge
Optics Letters 38 (11), 1903-1905, 2013
182013
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