Results 61 to 70 of about 2,611,781 (277)

Deep Learning in Neuroradiology [PDF]

open access: yesAmerican Journal of Neuroradiology, 2018
Deep learning is a form of machine learning using a convolutional neural network architecture that shows tremendous promise for imaging applications. It is increasingly being adapted from its original demonstration in computer vision applications to medical imaging.
G. Zaharchuk   +4 more
openaire   +3 more sources

BCS1L‐Associated Disease: 5′‐UTR Variant Shifts the Phenotype Towards Axonal Neuropathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate the consequences of a pathogenic missense variant (c.838C>T; p.L280F) and a 5′‐UTR regulatory variant (c.‐122G>T) in BCS1L on disease pathogenesis and to understand how regulatory variants influence disease severity and clinical presentation.
Rotem Orbach   +11 more
wiley   +1 more source

Understanding Mechanisms of Whole Brain and Regional Grey Matter Atrophy in Children With MOGAD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the mechanisms driving whole brain and regional grey matter (GM) volume changes along with their clinical correlates in paediatric myelin oligodendrocyte glycoprotein antibody (MOG‐Ab)–associated disease (MOGAD). Methods One‐hundred‐nine paediatric MOGAD patients from two UK centres underwent MRI at attack nadir and ...
Ermelinda De Meo   +14 more
wiley   +1 more source

Quantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose This study aimed to explore the association between quantitative shape irregularity and density heterogeneity of hematomas and hematoma expansion (HE) for intracerebral hemorrhage (ICH) patients. Methods This cohort study included patients arriving within 24 h of symptom onset between August 2021 and July 2022 as the derivation cohort ...
Zeqiang Ji   +11 more
wiley   +1 more source

Deep Bilevel Learning

open access: yes, 2018
ECCV ...
Simon Jenni, Paolo Favaro
openaire   +3 more sources

Cognitive Resilience in Apolipoprotein ε4 Carrier Women Predicted by Neuron‐Derived Extracellular Vesicles

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Apolipoprotein (APOE) ε4 allele is the strongest genetic risk factor for late‐onset Alzheimer's disease (AD); however, many ε4 carriers remain cognitively intact into old age. Leveraging plasma neuron‐derived extracellular vesicles (NDEVs), we sought to identify biomarkers of cognitive resilience and their interplay with APOE ...
Apostolos Manolopoulos   +17 more
wiley   +1 more source

Generalization in Deep Learning

open access: yes, 2022
Published by Cambridge University Press.
Kawaguchi, Kenji   +2 more
openaire   +2 more sources

Exploring if Longitudinal Changes on PET Imaging Can Serve as a Biomarker for Stiff Person Syndrome Spectrum Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify metabolic patterns in the brain and musculoskeletal system of stiff person syndrome spectrum disorders (SPSD) patients over time using PET imaging and evaluate the impact of immune therapy on metabolic activity as a surrogate for treatment response.
Munther M. Queisi   +4 more
wiley   +1 more source

Serum Neurofilament Light Chain in Multiple Sclerosis: Superiority of Age‐ and BMI‐Corrected Z Scores/Percentiles Over Absolute Cutoff Values for Prediction of Treatment Response

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy.
Maximilian Einsiedler   +43 more
wiley   +1 more source

Cytokine, Chemokine, and Neurofilament Light Chain Signatures in LGI1 Autoimmune Encephalitis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF ...
Albert Aboseif   +17 more
wiley   +1 more source

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