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

NeuroImage Clinical(2022)10.1016/j.nicl.2022.103205Source: DataRank Database

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues is a research paper published in NeuroImage Clinical (2022). On theSindex it has a DataRank of 0. It has been cited 57 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access57 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (31 grants)OA: goldTopics (39)IDs (PubMed, PMC)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (14)

Maxence Wynen ORCID,Omar Al‐Louzi ORCID,Erin Beck ORCID,Till Huelnhagen ORCID,Pietro Maggi ORCID

Live enrichment

PubMed:36201950 PMC:PMC9668629

Conrad N Hilton Foundation

Grant: 17313

Fondazione Regionale per la Ricerca Biomedica

Grant: 1750327

National Multiple Sclerosis Society

Grant: FAN-1807\u201332163

Novartis Foundation for Medical-Biological Research

Grant: 21A032

SNSF

Grant: 2021.0087

SNSF

Grant: P500PB_206833

NIH

Grant: R01NS112274

NIH

Grant: R01MH123550

NIH

Grant: R01MH112847

NIH

Grant: R01NS060910

NIH

Grant: U01NS116776

Cariplo Foundation

Grant: 1677

Horizon 2020

Grant: 765148

Translational Brain Imaging Training Network

Swiss National Science Foundation

Grant: 206833

Combining MRI markers with sleep EEG features to track brain health and detect pathology

National Institutes of Health

Grant: 5R01NS060910-07

Statistical Methods for Multilevel Multivariate Functional Studies

National Institutes of Health

Grant: 5R01MH112847-07

Inter-modal Coupling Image Analytics

National Institutes of Health

Grant: 1U01NS116776-01

Central vein sign: a diagnostic biomarker in multiple sclerosis

National Institutes of Health

Grant: 2R01MH123550-05A1

Harmonization of Multi-Site Neuroimaging Data from Complex Study Designs

National Institutes of Health

Grant: 5R01NS112274-03

Advanced Statistical Analytics of MRI in MS

Horizon 2020 Framework Programme

École Polytechnique Fédérale de Lausanne

Centre d'Imagerie BioMédicale

Université de Genève

Université de Lausanne

H2020 Marie Skłodowska-Curie Actions

National Institute of Neurological Disorders and Stroke

Centre Hospitalier Universitaire Vaudois

Hôpitaux Universitaires de Genève

American Brain Foundation

Biogen

Horizon 2020

goldLicense: cc-by

publisherhttps://www.sciencedirect.com/science/article/pii/S2213158222002704/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2213158222002704?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2213158222002704?httpAccept=text/plain

repositoryhttps://serval.unil.ch/notice/serval:BIB_4506B8D09769

repositoryhttps://iris.unil.ch/bitstreams/e020d025-2cc5-4add-b2a0-ea0cdced9d3e/download

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

VeinsBrainHumansMultiple SclerosisMagnetic Resonance ImagingWhite MatterMachine Learning

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningMultiple SclerosisdiagnosisComputer applications to medicine. Medical informaticsR858-859.7NeuroimagingVeinsMachine Learning (cs.LG)Machine Learningclinical disabilitymorphologyFOS: Electrical engineering, electronic engineering, information engineeringHumansmisdiagnosiswhite-matter lesionsRC346-429flair-asteriskbrain mrisegmentationImage and Video Processing (eess.IV)BrainRegular ArticleElectrical Engineering and Systems Science - Image and Video ProcessingWhite MatterMagnetic Resonance Imagingms lesionsNeurosciences & NeurologyprogressionNeurology. Diseases of the nervous system

Sustainable Development Goals

SDG 3: 3. Good health