Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …
diagnoses and research which underpin many recent breakthroughs in medicine and …
Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact
Tremendous efforts have been made in the last decade to advance cutting-edge MRI
technology in pursuit of mapping structural connectivity in the living human brain with …
technology in pursuit of mapping structural connectivity in the living human brain with …
The interictal suppression hypothesis in focal epilepsy: network-level supporting evidence
Why are people with focal epilepsy not continuously having seizures? Previous neuronal
signalling work has implicated gamma-aminobutyric acid balance as integral to seizure …
signalling work has implicated gamma-aminobutyric acid balance as integral to seizure …
PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images
Purpose Diffusion weighted MRI imaging (DWI) is often subject to low signal‐to‐noise ratios
(SNRs) and artifacts. Recent work has produced software tools that can correct individual …
(SNRs) and artifacts. Recent work has produced software tools that can correct individual …
Disentangling the effects of Alzheimer's and small vessel disease on white matter fibre tracts
Alzheimer's disease and cerebral small vessel disease are the two leading causes of
cognitive decline and dementia and coexist in most memory clinic patients. White matter …
cognitive decline and dementia and coexist in most memory clinic patients. White matter …
Clinically meaningful magnetic resonance endpoints sensitive to preataxic spinocerebellar ataxia types 1 and 3
J Chandrasekaran, E Petit, YW Park… - Annals of …, 2023 - Wiley Online Library
Objective This study was undertaken to identify magnetic resonance (MR) metrics that are
most sensitive to early changes in the brain in spinocerebellar ataxia type 1 (SCA1) and type …
most sensitive to early changes in the brain in spinocerebellar ataxia type 1 (SCA1) and type …
The optimal target and connectivity for deep brain stimulation in Lennox–Gastaut syndrome
Objective Deep brain stimulation (DBS) can reduce seizures in Lennox–Gastaut syndrome
(LGS). However, little is known about the optimal target and whether efficacy depends on …
(LGS). However, little is known about the optimal target and whether efficacy depends on …
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)
Diffusion MRI is a useful neuroimaging tool for non-invasive mapping of human brain
microstructure and structural connections. The analysis of diffusion MRI data often requires …
microstructure and structural connections. The analysis of diffusion MRI data often requires …
Diffusion mri with machine learning
D Karimi, SK Warfield - Imaging Neuroscience, 2024 - direct.mit.edu
Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique
capabilities including noninvasive probing of tissue microstructure and structural …
capabilities including noninvasive probing of tissue microstructure and structural …
Programming of subthalamic nucleus deep brain stimulation with hyperdirect pathway and corticospinal tract‐guided parameter suggestions
A Segura‐Amil, A Nowacki, I Debove… - Human brain …, 2023 - Wiley Online Library
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for
advanced Parkinson's disease. Stimulation of the hyperdirect pathway (HDP) may mediate …
advanced Parkinson's disease. Stimulation of the hyperdirect pathway (HDP) may mediate …