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06/19/2023
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
Decoding inner speech from the brain signal via hybridisation of fMRI an...
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11/23/2022
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI
Current state-of-the-art reconstruction for quantitative tissue maps fro...
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02/10/2022
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers
Current spatiotemporal deep learning approaches to Magnetic Resonance Fi...
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11/23/2020
An off-the-grid approach to multi-compartment magnetic resonance fingerprinting
We propose a novel numerical approach to separate multiple tissue compar...
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06/27/2020
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Consistency of the predictions with respect to the physical forward mode...
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01/23/2020
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders
We propose a dictionary-matching-free pipeline for multi-parametric quan...
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10/22/2019
The Practicality of Stochastic Optimization in Imaging Inverse Problems
In this work we investigate the practicality of stochastic gradient desc...
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02/26/2019
Deep MR Fingerprinting with total-variation and low-rank subspace priors
Deep learning (DL) has recently emerged to address the heavy storage and...
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10/03/2018
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction
Current popular methods for Magnetic Resonance Fingerprint (MRF) recover...
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09/06/2018
Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF
The main purpose of this study is to show that a highly accelerated Cart...
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09/06/2018
CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery
Current proposed solutions for the high dimensionality of the MRF recons...
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09/05/2018
A deep learning approach for Magnetic Resonance Fingerprinting
Current popular methods for Magnetic Resonance Fingerprint (MRF) recover...
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06/23/2017
Cover Tree Compressed Sensing for Fast MR Fingerprint Recovery
We adopt data structure in the form of cover trees and iteratively apply...
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02/16/2017
