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Found 7 papers, 3 papers with code
Model-based T1, T2* and Proton Density Mapping Using a Bayesian Approach with Parameter Estimation and Complementary Undersampling Patterns
Purpose: To achieve automatic hyperparameter estimation for the joint recovery of quantitative MR images, we propose a Bayesian formulation of the reconstruction problem that incorporates the signal model.
Robust Quantitative Susceptibility Mapping via Approximate Message Passing with Parameter Estimation
Purpose: For quantitative susceptibility mapping (QSM), the lack of ground-truth in clinical settings makes it challenging to determine suitable parameters for the dipole inversion.
Approximate Message Passing with Parameter Estimation for Heavily Quantized Measurements
In AMP, the signal of interest is assumed to follow certain prior distribution with unknown parameters.
A Probabilistic Bayesian Approach to Recover $R_2^*$ map and Phase Images for Quantitative Susceptibility Mapping
In order to achieve better image quality and avoid manual parameter tuning, we propose a probabilistic Bayesian approach to recover $R_2^*$ map and phase images for quantitative susceptibility mapping (QSM), while allowing automatic parameter estimation from undersampled data.
Fast Nonconvex $T_2^*$ Mapping Using ADMM
Magnetic resonance (MR)-$T_2^*$ mapping is widely used to study hemorrhage, calcification and iron deposition in various clinical applications, it provides a direct and precise mapping of desired contrast in the tissue.
Bayesian Massive MIMO Channel Estimation with Parameter Estimation Using Low-Resolution ADCs
The proposed approach leads to a much simpler parameter estimation method, allowing us to work with the quantization noise model directly.
Quantization
Information Theory
Signal Processing
Information Theory
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for Alzheimer's disease.
