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12/30/2022
Uncertainty quantification for sparse Fourier recovery
One of the most prominent methods for uncertainty quantification in high...
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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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03/30/2022
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network
In this work, we present a method for synthetic CT (sCT) generation from...
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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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01/17/2022
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
Removing the bias and variance of multicentre data has always been a cha...
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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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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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09/05/2018