Browse All

Current Filters

CLEAR FILTER x

TITLE

Asymmetric Susceptibility Tensor Imaging

Automatic, Non-Regularized Nonlinear Dipole Inversion for Fast and Robust Quantitative Susceptibility Mapping

Exploring domain adaption for deep neural network trained QSM

Generalization of deep learning-based QSM by expanding the diversity of spatial gradient in training data

HANDI: Hessian Accelerated Nonlinear Dipole Inversion for rapid QSM

Improving Quantitative Susceptibility Mapping reconstructions via non-linear Huber loss data fidelity term (Huber-QSM)

Investigating the Effect of Flow Compensation Schemes and Processing Pipelines on the Accuracy of Venous Quantitative Susceptibility Mapping

Magnetic susceptibility source separation: validation with Monte-Carlo simulation & application tohuman brain with histological comparison

Necessity for a common dataset for a fair comparison between deep neural networks for QSM

NeXtQSM - A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with synthetic data

Non-regularized Dipole Inversion with streaking suppression via L1-norm optimization

Reproducibility of R2* and quantitative susceptibility mapping in deep grey matter at 3T: Cross-vendor non-harmonized protocol study

Rotation-Free Mapping of Magnetic Tissue Properties in White Matter

Studying magnetic susceptibility, microstructural compartmentalisation and chemical exchange in a formalin-fixed, whole-brain specimen

Total Deep Variation Regularization for Improved Iterative Quantitative Susceptibility Mapping (TDV-QSM)

Validating DECOMPOSE QSM with temperature variantex vivobrainstem imaging experiments