283 results on '"Philippe Ciuciu"'
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2. Jointly Learning Non-Cartesian k-Space Trajectories and Reconstruction Networks for 2D and 3D MR Imaging through Projection
3. Multivariate semi-blind deconvolution of fMRI time series
4. Revisiting Functional Connectivity for Infraslow Scale-Free Brain Dynamics Using Complex Wavelets
5. Emergence of β and γ networks following multisensory training
6. Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization
7. Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets
8. Denoising of fMRI Volumes Using Local Low Rank Methods.
9. Non-Cartesian Non-Fourier FMRI Imaging for High-Resolution Retinotopic Mapping at 7 Tesla.
10. Wavelets in the Deep Learning Era.
11. Hybrid Learning of Non-Cartesian K-Space Trajectory and Mr Image Reconstruction Networks.
12. MC-PDNet: Deep Unrolled Neural Network For Multi-Contrast Mr Image Reconstruction From Undersampled K-Space Data.
13. Optimizing Full 3D SPARKLING Trajectories for High-Resolution Magnetic Resonance Imaging.
14. NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction.
15. Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction.
16. Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction.
17. Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset.
18. Wavelets in the Deep Learning Era.
19. SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.
20. Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
21. Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI.
22. Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series.
23. fMRI BOLD signal decomposition using a multivariate low-rank model.
24. Sparsity-based Blind Deconvolution of Neural Activation Signal in FMRI.
25. Fast Adaptive Scene Sampling for Single-Photon 3D Lidar Images.
26. Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks.
27. Spatially regularized wavelet leader scale-free analysis of fMRI data.
28. Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity.
29. Scale-Free Functional Connectivity Analysis from Source Reconstructed MEG Data.
30. Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla.
31. Self-Calibrating Nonlinear Reconstruction Algorithms for Variable Density Sampling and Parallel Reception MRI.
32. Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging.
33. Is good old GRAPPA dead?
34. SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.
35. Spatially regularized multifractal analysis for fMRI data.
36. PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function.
37. Denoising Score-Matching for Uncertainty Quantification in Inverse Problems.
38. XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge.
39. State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
40. Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty.
41. Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning.
42. Multi-subject joint parcellation detection estimation in functional MRI.
43. Impact of perceptual learning on resting-state fMRI connectivity: A supervised classification study.
44. Wavelets in the Deep Learning Era
45. A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation.
46. New vistas for epileptogenic zone (EZ) localization and interpretation
47. Improving spreading projection algorithm for rapid k‐space sampling trajectories through minimized off‐resonance effects and gridding of low frequencies
48. A pharmacological imaging challenge based on 11C-buprenorphine PET-MRI to explore the response to opioids in humans
49. Anisotropic compressed sensing for non-Cartesian MRI acquisitions.
50. Physiological models comparison for the analysis of ASL FMRI data.
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