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Commercial volumetric MRI reporting tools in multiple sclerosis: a systematic review of the evidence
Purpose MRI is integral to the diagnosis of multiple sclerosis (MS) and is important for
clinical prognostication. Quantitative volumetric reporting tools (QReports) can improve the …
clinical prognostication. Quantitative volumetric reporting tools (QReports) can improve the …
A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation
Magnetic resonance imaging (MRI) is a ubiquitous medical imaging technology with
applications in disease diagnostics, intervention, and treatment planning. Accurate MRI …
applications in disease diagnostics, intervention, and treatment planning. Accurate MRI …
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation
Introduction White matter hyperintensities (WMHs) are frequently observed on magnetic
resonance (MR) images in older adults, commonly appearing as areas of high signal …
resonance (MR) images in older adults, commonly appearing as areas of high signal …
Specialized gray matter segmentation via a generative adversarial network: application on brain white matter hyperintensities classification
Background White matter hyperintensities (WMH) observed in T2 fluid-attenuated inversion
recovery (FLAIR) images have emerged as potential markers of neurodegenerative …
recovery (FLAIR) images have emerged as potential markers of neurodegenerative …
[HTML][HTML] A fully automated visual grading system for white matter hyperintensities of T2-fluid attenuated inversion recovery magnetic resonance imaging
Background: The Fazekas scale is one of the most commonly used visual grading systems
for white matter hyperintensity (WMH) for brain disorders like dementia from T2-fluid …
for white matter hyperintensity (WMH) for brain disorders like dementia from T2-fluid …
[HTML][HTML] Automatic segmentation of white matter hyperintensities in t2-flair with aqua: a comparative validation study against conventional methods
White matter hyperintensities (WMHs) are lesions in the white matter of the brain that are
associated with cognitive decline and an increased risk of dementia. The manual …
associated with cognitive decline and an increased risk of dementia. The manual …
Brain hyperintensities: automatic segmentation of white matter hyperintensities in clinical brain MRI images using improved deep neural network
White matter hyperintensities (WMH) are commonly found in the brains of healthy elderly
individuals and have been associated with various neurological and geriatric disorders …
individuals and have been associated with various neurological and geriatric disorders …
Application of artificial intelligence‐based magnetic resonance imaging in diagnosis of cerebral small vessel disease
X Hu, L Liu, M **ong, J Lu - CNS Neuroscience & Therapeutics, 2024 - Wiley Online Library
Cerebral small vessel disease (CSVD) is an important cause of stroke, cognitive impairment,
and other diseases, and its early quantitative evaluation can significantly improve patient …
and other diseases, and its early quantitative evaluation can significantly improve patient …
Quantitative Analysis of Multimodal MRI Markers and Clinical Risk Factors for Cerebral Small Vessel Disease Based on Deep Learning
Z Zhang, Z Ding, F Chen, R Hua, J Wu… - … Journal of General …, 2024 - Taylor & Francis
Background Cerebral small vessel disease lacks specific clinical manifestations, and
extraction of valuable features from multimodal images is expected to improve its diagnostic …
extraction of valuable features from multimodal images is expected to improve its diagnostic …
[HTML][HTML] Improved neurological diagnoses and treatment strategies via automated human brain tissue segmentation from clinical magnetic resonance imaging
Objective Segmentation of medical images is a crucial process in various image analysis
applications. Automated segmentation methods excel in accuracy when compared to …
applications. Automated segmentation methods excel in accuracy when compared to …