Philippe Ciuciu

Orcid: 0000-0001-5374-962X

According to our database1, Philippe Ciuciu authored at least 117 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Wavelets in the Deep Learning Era.
J. Math. Imaging Vis., January, 2023

Denoising of fMRI Volumes Using Local Low Rank Methods.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Non-Cartesian Non-Fourier FMRI Imaging for High-Resolution Retinotopic Mapping at 7 Tesla.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction.
IEEE Trans. Medical Imaging, 2022

Optimizing Full 3D SPARKLING Trajectories for High-Resolution Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2022

Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks.
CoRR, 2022

Hybrid Learning of Non-Cartesian K-Space Trajectory and Mr Image Reconstruction Networks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

MC-PDNet: Deep Unrolled Neural Network For Multi-Contrast Mr Image Reconstruction From Undersampled K-Space Data.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2021

Multivariate semi-blind deconvolution of fMRI time series.
NeuroImage, 2021

Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization.
J. Imaging, 2021

Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging.
CoRR, 2021

Is good old GRAPPA dead?
CoRR, 2021

Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Emergence of <i>β</i> and <i>γ</i> networks following multisensory training.
NeuroImage, 2020

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR, 2020

Denoising Score-Matching for Uncertainty Quantification in Inverse Problems.
CoRR, 2020

XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge.
CoRR, 2020

PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing.
Astron. Comput., 2020

Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Wavelets in the Deep Learning Era.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Anisotropic compressed sensing for non-Cartesian MRI acquisitions.
CoRR, 2019

Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Sparsity-based Blind Deconvolution of Neural Activation Signal in FMRI.
Proceedings of the IEEE International Conference on Acoustics, 2019

fMRI BOLD signal decomposition using a multivariate low-rank model.
Proceedings of the 27th European Signal Processing Conference, 2019

Fast Adaptive Scene Sampling for Single-Photon 3D Lidar Images.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty.
IEEE Trans. Medical Imaging, 2018

Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Spatially regularized wavelet leader scale-free analysis of fMRI data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Self-Calibrating Nonlinear Reconstruction Algorithms for Variable Density Sampling and Parallel Reception MRI.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Scale-Free Functional Connectivity Analysis from Source Reconstructed MEG Data.
Proceedings of the 26th European Signal Processing Conference, 2018

Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation.
Signal Process., 2017

PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function.
Proceedings of the 16th Python in Science Conference 2017, 2017

Spatially regularized multifractal analysis for fMRI data.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
A Projection Algorithm for Gradient Waveforms Design in Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2016

On the Generation of Sampling Schemes for Magnetic Resonance Imaging.
SIAM J. Imaging Sci., 2016

Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Multi-subject joint parcellation detection estimation in functional MRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Impact of perceptual learning on resting-state fMRI connectivity: A supervised classification study.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Data-driven HRF estimation for encoding and decoding models.
NeuroImage, 2015

Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Physiological models comparison for the analysis of ASL FMRI data.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
A Majorize-Minimize Memory Gradient method for complex-valued inverse problems.
Signal Process., 2014

Variable Density Sampling with Continuous Trajectories.
SIAM J. Imaging Sci., 2014

Supramodal processing optimizes visual perceptual learning and plasticity.
NeuroImage, 2014

Interplay between functional connectivity and scale-free dynamics in intrinsic fMRI networks.
NeuroImage, 2014

Decoding perceptual thresholds from MEG/EEG.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Multi-subject Bayesian Joint Detection and Estimation in fMRI.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Hemodynamically informed parcellation of cerebral FMRI data.
Proceedings of the IEEE International Conference on Acoustics, 2014

Model selection for hemodynamic brain parcellation in FMRI.
Proceedings of the 22nd European Signal Processing Conference, 2014

Physiologically Informed Bayesian Analysis of ASL fMRI Data.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach.
IEEE Trans. Medical Imaging, 2013

Group-level impacts of within- and between-subject hemodynamic variability in fMRI.
NeuroImage, 2013

Comparison of Features for Voxel-Based Analysis and Classification of Anatomical Neuroimaging Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Hemodynamic Estimation Based on Consensus Clustering.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Learning-induced modulation of scale-free properties of brain activity measured with MEG.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Variable density compressed sensing in MRI. Theoretical vs heuristic sampling strategies.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Variational variable selection to assess experimental condition relevance in event-related fMRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Multi-session extension of the joint-detection framework in fMRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging.
Proceedings of the IEEE International Conference on Acoustics, 2013

A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging
CoRR, 2012

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Modulation of scale-free properties of brain activity in MEG.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

HYR<sup>2</sup>PICS: Hybrid regularized reconstruction for combined parallel imaging and compressive sensing in MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Adaptive experimental condition selection in event-related fMRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Robust voxel-wise joint detection estimation of brain activity in fMRI.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Min-max Extrapolation Scheme for Fast Estimation of 3D Potts Field Partition Functions. Application to the Joint Detection-Estimation of Brain Activity in fMRI.
J. Signal Process. Syst., 2011

A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging.
Medical Image Anal., 2011

4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI
CoRR, 2011

Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Image reconstruction from multiple sensors using stein's principle. Application to parallel MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Multifractal analysis of Resting State Networks in functional MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Impact of the joint detection-estimation approach on random effects group studies in FMRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
A hierarchical Bayesian model for frame representation.
IEEE Trans. Signal Process., 2010

Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series.
IEEE Trans. Medical Imaging, 2010

ICA-based sparse features recovery from FMRI datasets.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Fast bilinear extrapolation of 3D ising field partition function. application to fMRI image analysis.
Proceedings of the International Conference on Image Processing, 2009

Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors.
Proceedings of the International Conference on Image Processing, 2009

Multivariate Spatial Gaussian Mixture Modeling for statistical clustering of hemodynamic parameters in functional MRI.
Proceedings of the IEEE International Conference on Acoustics, 2009

Modelling the neurovascular habituation effect on fMRI time series.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.
NeuroImage, 2008

Log Wavelet Leaders Cumulant Based Multifractal Analysis of EVI fMRI Time Series: Evidence of Scaling in Ongoing and Evoked Brain Activity.
IEEE J. Sel. Top. Signal Process., 2008

Introduction to the Issue on fMRI Analysis for Human Brain Mapping.
IEEE J. Sel. Top. Signal Process., 2008

Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Improved fMRI group studies based on spatially varying non-parametric BOLD signal modeling.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Autocalibrated regularized parallel mri reconstruction in the wavelet domain.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Structural Analysis of fMRI Data Revisited: Improving the Sensitivity and Reliability of fMRI Group Studies.
IEEE Trans. Medical Imaging, 2007

Leader-Based Multifractal Analysis for Evi fmri Time Series: Ongoing vs Task-Related Brain Activity.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Spatial Mixture Modelling for the Joint Detection-Estimation of Brain Activity in fMRI.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Anatomically informed interpolation of fMRI data on the cortical surface.
NeuroImage, 2006

Joint detection-estimation of brain activity in fMRI using an autoregressive noise model.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Bayesian Joint Detection-Estimation of Brain Activity Using MCMC With a Gamma-Gaussian Mixture Prior Model.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Improving Sensitivity and Reliability of fMRI Group Studies through High Level Combination of Individual Subjects Results.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Joint detection-estimation of brain activity in functional MRI: a Multichannel Deconvolution solution.
IEEE Trans. Signal Process., 2005

2004
Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference.
IEEE Trans. Medical Imaging, 2004

Semi-Blind Deconvolution of Neural Impulse Response in Event-Related fMRI Using a Gibbs Sampler.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Selection of Temporal Models for Event-Related fMRI.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Outlier Detection for Robust Region-Based Estimation of the Hemodynamic Response Function in Event-Related fMRI.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Semi-blind deconvolution of neural impulse response in fMRI using a Gibbs sampling method.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Regularized Doppler radar imaging for target identification in atmospheric clutter.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Unsupervised robust non-parametric estimation of the hemodynamic response function for any fMRI experiment.
IEEE Trans. Medical Imaging, 2003

Estimation of the Hemodynamic Response Function in Event-Related Functional MRI: Directed Acyclic Graphs for a General Bayesian Inference Framework.
Proceedings of the Information Processing in Medical Imaging, 2003

2002
A half-quadratic block-coordinate descent method for spectral estimation.
Signal Process., 2002

Model Based Spatial and Temporal Similarity Measures between Series of Functional Magnetic Resonance Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

Robust estimation of the hemodynamic response function in asynchronous multitasks multisessions event-related fMRI paradigms.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
Regularized estimation of mixed spectra using a circular Gibbs-Markov model.
IEEE Trans. Signal Process., 2001

1999
Markovian high resolution spectral analysis.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999


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