Nicolas Ducros

According to our database, Nicolas Ducros authored at least 22 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Dynamic Single-Pixel Imaging on an Extended Field of View Without Warping the Patterns.

Thomas Maitre, Elie Bretin, Romain Phan, Nicolas Ducros, Michaël Sdika

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hybrid Single-Pixel Camera for Dynamic Hyperspectral Imaging.

Thomas Maitre, Elie Bretin, Laurent Mahieu-Williame, Michaël Sdika, Nicolas Ducros

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Joint Reconstruction and Spectral Unmixing from Single-Pixel Acquisitions.

Séréna Hariga, Jérémy E. Cohen, Nicolas Ducros

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Phase Unwrapping of Color Doppler Echocardiography using Deep Learning.

Hang Jung Ling, Olivier Bernard, Nicolas Ducros, Damien Garcia

CoRR, 2023

2022

Deep Expectation-Maximization for Single-Pixel Image Reconstruction With Signal-Dependent Noise.

Antonio Lorente Mur, Françoise Peyrin, Nicolas Ducros

IEEE Trans. Computational Imaging, 2022

2021

Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach.

Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Simon Rit, Pierre-Antoine Rodesch, Thomas Broussaud, Suzanne Bussod, Philippe C. Douek, Andreas Hauptmann, Simon R. Arridge, Françoise Peyrin

IEEE Access, 2021

Deep Expectation-Maximization For Image Reconstruction From Under-Sampled Poisson Data.

Antonio Lorente Mur, Paul Bataille, Françoise Peyrin, Nicolas Ducros

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Recurrent Neural Networks for Compressive Video Reconstruction.

Antonio Lorente Mur, Françoise Peyrin, Nicolas Ducros

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Completion Network for Reconstruction from Compressed Acquisition.

Nicolas Ducros, Antonio Lorente Mur, Françoise Peyrin

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach.

Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Suzanne Bussod, Andreas Hauptmann, Simon R. Arridge, Philippe Douek, Françoise Peyrin

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

Convolutional Neural Network for Material Decomposition in Spectral CT Scans.

Suzanne Bussod, Juan F. P. J. Abascal, Simon R. Arridge, Andreas Hauptmann, Christine Chappard, Nicolas Ducros, Françoise Peyrin

Proceedings of the 28th European Signal Processing Conference, 2020

A residual U-Net network with image prior for 3D image denoising.

Juan F. P. J. Abascal, Suzanne Bussod, Nicolas Ducros, Salim Si-Mohamed, Philippe Douek, Christine Chappard, Françoise Peyrin

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Human Knee Phantom for Spectral CT: Validation of a Material Decomposition Algorithm.

Suzanne Bussod, Juan Felipe Pérez-Juste Abascal, Nicolas Ducros, Cécile Olivier, Salim Si-Mohamed, Philippe Douek, Christine Chappard, Françoise Peyrin

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

A Semi Nonnegative Matrix Factorization Technique for Pattern Generalization in Single-Pixel Imaging.

Florian Rousset, Françoise Peyrin, Nicolas Ducros

IEEE Trans. Computational Imaging, 2018

A constrained Gauss-Newton algorithm for material decomposition in spectral computed tomography.

Tom Hohweiller, Nicolas Ducros, Françoise Peyrin, Bruno Sixou

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

An ADMM Algorithm for Constrained Material Decomposition in Spectral CT.

Tom Hohweiller, Nicolas Ducros, Françoise Peyrin, Bruno Sixou

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Adaptive Basis Scan by Wavelet Prediction for Single-Pixel Imaging.

Florian Rousset, Nicolas Ducros, Andrea Farina, Gianluca Valentini, Cosimo D'Andrea, Françoise Peyrin

IEEE Trans. Computational Imaging, 2017

2016

Adaptive acquisitions in biomedical optical imaging based on single pixel camera: Comparison with compressive sensing.

Florian Rousset, Nicolas Ducros, Andrea Farina, Gianluca Valentini, Cosimo D'Andrea, Françoise Peyrin

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Single pixel camera: An acquisition strategy based on the non-linear wavelet approximation.

Florian Rousset, Nicolas Ducros, Cosimo D'Andrea, Françoise Peyrin

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2012

Virtual source patterns for fluorescence tomography.

Nicolas Ducros, Andrea Bassi, Cosimo D'Andrea, Gianluca Valentini, Martin Schweiger, Simon R. Arridge

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2009

Time Resolved Fluorescence Diffuse Optical Tomography Using Multi-Resolution Exponential B-Splines.

Nicolas Ducros, Anabela da Silva, Jean-Marc Dinten, Chandra Sekhar Seelamantula, Michael Unser, Françoise Peyrin

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

Fluorescence diffuse optical tomography: A simulation-based study comparing time-resolved and continuous wave reconstructions performances.

Nicolas Ducros, Anabela da Silva, Jean-Marc Dinten, Françoise Peyrin

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008