Mohammad Golbabaee

CoRR, 2024

Learning Preconditioners for Inverse Problems.

[BibT_eX]

[DOI]

Matthias J. Ehrhardt

Patrick Fahy

Foteini Simistira Liwicki

CoRR, 2024

StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models.

[BibT_eX]

[DOI]

Holly Wilson

Scott Wellington

Johan Gunnar Eriksson

CoRR, 2023

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI.

[BibT_eX]

[DOI]

CoRR, 2022

A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Deep Unrolling for Magnetic Resonance Fingerprinting.

[BibT_eX]

[DOI]

Dongdong Chen

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

2020

The Practicality of Stochastic Optimization in Imaging Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

An off-the-grid approach to multi-compartment magnetic resonance fingerprinting.

[BibT_eX]

[DOI]

Clarice Poon

CoRR, 2020

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders.

[BibT_eX]

[DOI]

CoRR, 2020

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations.

[BibT_eX]

[DOI]

Dongdong Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Deep MR Fingerprinting with total-variation and low-rank subspace priors.

[BibT_eX]

[DOI]

CoRR, 2019

Geometry of Deep Learning for Magnetic Resonance Fingerprinting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Inexact Gradient Projection and Fast Data Driven Compressed Sensing.

[BibT_eX]

[DOI]

Arnold Julian Vinoj Benjamin

IEEE Trans. Inf. Theory, 2018

Insense: Incoherent sensor selection for sparse signals.

[BibT_eX]

[DOI]

Signal Process., 2018

CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction.

[BibT_eX]

[DOI]

CoRR, 2018

Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF.

[BibT_eX]

[DOI]

CoRR, 2018

CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery.

[BibT_eX]

[DOI]

CoRR, 2018

A deep learning approach for Magnetic Resonance Fingerprinting.

[BibT_eX]

[DOI]

CoRR, 2018

Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Cover tree compressed sensing for fast mr fingerprint recovery.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares.

[BibT_eX]

[DOI]

Junqi Tang

Proceedings of the 34th International Conference on Machine Learning, 2017

Exploiting the structure via sketched gradient algorithms.

[BibT_eX]

[DOI]

Junqi Tang

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2014

Structured Sparsity Models for Reverberant Speech Separation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2014

SCOOP: A Real-Time Sparsity Driven People Localization Algorithm.

[BibT_eX]

[DOI]

Alexandre Alahi

Christophe De Vleeschouwer

J. Math. Imaging Vis., 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

[BibT_eX]

[DOI]

Laurent Jacques

Jean-François Determe

Fred Maurice Ngolè Mboula

CoRR, 2014

Numerical experiments with MALDI Imaging data.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2014

2013

Compressive Source Separation: Theory and Methods for Hyperspectral Imaging.

[BibT_eX]

[DOI]

Simon Arberet

IEEE Trans. Image Process., 2013

Model Selection with Piecewise Regular Gauges.

[BibT_eX]

[DOI]

CoRR, 2013

2012

Compressive Sampling Strategies for Multichannel Signals - Theory and Applications.

[BibT_eX]

[DOI]

PhD thesis, 2012

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

[BibT_eX]

[DOI]

CoRR, 2012

Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings

[BibT_eX]

[DOI]

CoRR, 2012

Joint trace/TV norm minimization: A new efficient approach for spectral compressive imaging.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Light field compressive sensing in camera arrays.

[BibT_eX]

[DOI]

Mahdad Hosseini Kamal

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Hyperspectral image compressed sensing via low-rank and joint-sparse matrix recovery.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010

Multichannel compressed sensing via source separation for hyperspectral images.

[BibT_eX]

[DOI]

Simon Arberet

Proceedings of the 18th European Signal Processing Conference, 2010

2008

Average case analysis of sparse recovery with thresholding : New bounds based on average dictionary coherence.

[BibT_eX]

[DOI]