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Indexing cerebrovascular health using near-infrared spectroscopy

Indexing cerebrovascular health using transcranial doppler ultrasound

A dynamic model of brain hemodynamics in near-infrared spectroscopy

Automatic prediction of the conversion of clinically isolated syndrome to multiple sclerosis using deep learning

Automatic and robust segmentation of multiple sclerosis lesions with convolutional neural networks

The emerging role of artificial intelligence in multiple sclerosis imaging

Fast magnetic resonance spectroscopic imaging techniques in human brain-applications in multiple sclerosis

Spiral MRSI and tissue segmentation of normal-appearing white matter and white matter lesions in relapsing remitting multiple sclerosis patients

Diurnal stability and long-term repeatability of neurometabolites using single voxel 1H magnetic resonance spectroscopy

Stability of longitudinal DTI metrics in MS with treatment of injectables, fingolimod and dimethyl fumarate

Neural diffusion tensor imaging metrics correlate with clinical measures in people with relapsing-remitting MS

Evaluation of MS related central fatigue using MR neuroimaging methods: scoping review

Altered in vivo brain GABA and glutamate levels are associated with multiple sclerosis central fatigue

Reliability of neurometabolite detection with two-dimensional localized correlation spectroscopy at 3T

Diurnal variability of cerebral metabolites in healthy human brain with two-dimensional localised correlation spectroscopy (2D L-COSY)

Diagnosis of transition zone prostate cancer by multiparametric MRI: added value of MR spectroscopic imaging with sLASER volume selection

An inter-centre statistical scale standardisation for quantitatively evaluating prostate tissue on T2-weighted MRI

Voxel-based supervised machine learning of peripheral zone prostate cancer using noncontrast multiparametric MRI

Characterization of prostate cancer using diffusion tensor imaging: a new perspective

Supervised risk predictor of central gland lesions in prostate cancer using 1H MR spectroscopic imaging with gradient offset‐independent adiabaticity pulses

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