2025
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging.
CoRR, March, 2025
Towards a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture.
CoRR, March, 2025
S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging.
CoRR, March, 2025
2024
The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy.
CoRR, 2024
A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging.
Proceedings of the 32nd European Signal Processing Conference, 2024
Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2.
Proceedings of the 32nd European Signal Processing Conference, 2024
R2D2 Image Reconstruction with Model Uncertainty Quantification in Radio Astronomy.
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
R2D2: Deep neural network series for near real-time high-dynamic range imaging in radio astronomy.
CoRR, 2023
Scalable precision wide-field imaging in radio interferometry: II. AIRI validated on ASKAP data.
CoRR, 2023
Deep Network Series for Large-Scale High-Dynamic Range Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137-006.
CoRR, 2022
Image reconstruction algorithms in radio interferometry: from handcrafted to learned denoisers.
CoRR, 2022
Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play.
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Variable Metric Forward-Backward Algorithm for Composite Minimization Problems.
SIAM J. Optim., 2021
Learning Maximally Monotone Operators for Image Recovery.
SIAM J. Imaging Sci., 2021
Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors.
J. Imaging, 2021
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography.
J. Imaging, 2021
Enhanced Convergent PNP Algorithms For Image Restoration.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Building Firmly Nonexpansive Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Forward-Backward Algorithm for Reweighted Procedures: Application to Radio-Astronomical Imaging.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
A Physical Model of Nonstationary Blur in Ultrasound Imaging.
IEEE Trans. Computational Imaging, 2019
Joint Sparsity With Partially Known Support and Application to Ultrasound Imaging.
IEEE Signal Process. Lett., 2019
Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization.
SIAM J. Imaging Sci., 2019
Fast Spatially Coherent Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction.
CoRR, 2018
CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery.
CoRR, 2018
Time-Regularized Blind Deconvolution Approach for Radio Interferometry.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018
Fast kq-Space Sampling with Motion-Induced Phase in Diffusion MRI.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018
Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018
Pulse-Stream Models in Time-of-Flight Imaging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Uncertainty Quantification in Imaging: When Convex Optimization Meets Bayesian Analysis.
Proceedings of the 26th European Signal Processing Conference, 2018
Facet-Based Regularization for Scalable Radio-Interferometric Imaging.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Sparse Image Reconstruction on the Sphere: Analysis and Synthesis.
IEEE Trans. Image Process., 2017
Fast Nonnegative Least Squares Through Flexible Krylov Subspaces.
SIAM J. Sci. Comput., 2017
Cover tree compressed sensing for fast mr fingerprint recovery.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
2016
Gauss-Legendre Sampling on the Rotation Group.
IEEE Signal Process. Lett., 2016
Sparse image reconstruction on the sphere: analysis vs synthesis.
CoRR, 2016
Compressed delay-and-sum beamforming for ultrafast ultrasound imaging.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
A randomised primal-dual algorithm for distributed radio-interferometric imaging.
Proceedings of the 24th European Signal Processing Conference, 2016
Sparse regularization methods in ultrafast ultrasound imaging.
Proceedings of the 24th European Signal Processing Conference, 2016
A low-rank and joint-sparsity model for hyper-spectral radio-interferometric imaging.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
A Novel Sampling Theorem on the Rotation Group.
IEEE Signal Process. Lett., 2015
A modulated closed form solution for quantitative susceptibility mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge.
NeuroImage, 2015
Structured sparsity for spatially coherent fibre orientation estimation in diffusion MRI.
NeuroImage, 2015
Directional spin wavelets on the sphere.
CoRR, 2015
Localisation of directional scale-discretised wavelets on the sphere.
CoRR, 2015
Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx).
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Structured sparsity through reweighting and application to diffusion MRI.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI.
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IEEE Trans. Medical Imaging, 2014
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting.
SIAM J. Imaging Sci., 2014
Sparse regularization for fiber ODF reconstruction: From the suboptimality of l<sub>2</sub> and l<sub>1</sub> priors to l<sub>0</sub>.
Medical Image Anal., 2014
On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation.
CoRR, 2014
Sparsity averaging for radio-interferometric imaging.
CoRR, 2014
Sparsity in tensor optimization for optical-interferometric imaging.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Compressed quantitative MRI: Bloch response recovery through iterated projection.
Proceedings of the IEEE International Conference on Acoustics, 2014
Purify: A new algorithmic framework for next-generation radio-interferometric imaging.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Fast Directional Spatially Localized Spherical Harmonic Transform.
IEEE Trans. Signal Process., 2013
Sparse Image Reconstruction on the Sphere: Implications of a New Sampling Theorem.
IEEE Trans. Image Process., 2013
Sparse Reverberant Audio Source Separation via Reweighted Analysis.
IEEE Trans. Speech Audio Process., 2013
Sparsity Averaging for Compressive Imaging.
IEEE Signal Process. Lett., 2013
On the computation of directional scale-discretized wavelet transforms on the sphere.
CoRR, 2013
2012
Spread Spectrum Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2012
Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques.
EURASIP J. Adv. Signal Process., 2012
S2LET: A code to perform fast wavelet analysis on the sphere
CoRR, 2012
Sparse signal reconstruction on the sphere: implications of a new sampling theorem
CoRR, 2012
2011
A Novel Sampling Theorem on the Sphere.
IEEE Trans. Signal Process., 2011
On Variable Density Compressive Sampling.
IEEE Signal Process. Lett., 2011
Sampling theorems and compressive sensing on the sphere
CoRR, 2011
Implications for compressed sensing of a new sampling theorem on the sphere
CoRR, 2011
Compressed sensing for radio interferometric imaging: Review and future direction.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Spread spectrum for compressed sensing techniques in magnetic resonance imaging.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Spread spectrum for interferometric and magnetic resonance imaging.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Spread spectrum for imaging techniques in radio interferometry
CoRR, 2009
2007
Fast spin ±2 spherical harmonics transforms and application in cosmology.
J. Comput. Phys., 2007