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Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues

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Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues

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MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

Model-informed machine learning for multi-component T2 relaxometry

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

CSF tap test in idiopathic normal pressure hydrocephalus: still a necessary prognostic test?

Serum GFAP in multiple sclerosis: correlation with disease type and MRI markers of disease severity

Fluid and White Matter Suppression New Sensitive 3 T Magnetic Resonance Imaging Contrasts for Cortical Lesion Detection in Multiple Sclerosis

RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

Functional connectivity underlying cognitive and psychiatric symptoms in post-COVID-19 syndrome: is anosognosia a key determinant?

Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes

A multi-scale probabilistic atlas of the human connectome

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

Differentiating Parkinson's disease motor subtypes using automated volume-based morphometry incorporating white matter and deep gray nuclear lesion load

Fractal analysis in the quantification of medical imaging associated with multiple sclerosis pathology

Toward individualized medicine in stroke-The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke