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Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI

Lecture notes in computer science(2020)10.1007/978-3-030-59719-1_57Source: DataRank Database

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI is a research paper published in Lecture notes in computer science (2020). On theSindex it has a DataRank of 0.292. It has been cited 6 times.

N/A

0.292DataRank · unranked

Scored on demand from live citation data

Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 6.96)OA: greenTopics (28)IDs (PubMed, OpenAlex)

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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (7)

Erin Beck ORCID,Ahmed Abdulkadir ORCID,Jean‐Philippe Thiran ORCID,Daniel S. Reich ORCID,Pascal Sati ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3049203242

Swiss National Science Foundation

Grant: 173880

MRI-based pattern recognition techniques in dementia diagnostics

European Commission

Grant: 765148

Translational Brain Imaging Training Network

FWCI

6.96

Citation Percentile

1.0%

Citation Trend

2020

2021

2022

2024

greenLicense: Springer TDM

repositoryhttps://arxiv.org/pdf/2008.06780

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-030-59719-1_57

repositoryhttp://arxiv.org/abs/2008.06780

book serieshttps://doi.org/10.1007/978-3-030-59719-1_57

Fields of Study

Multiple Sclerosis Research StudiesUltrasound Imaging and ElastographyRNA Interference and Gene Delivery03 medical and health sciences0302 clinical medicine

Keywords

Multiple sclerosisFalse positive paradoxCLs upper limitsSegmentationTrue positive rateLesionArtificial intelligenceComputer scienceTask (project management)MedicinePattern recognition (psychology)PathologyFOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringMachine Learning (stat.ML)Electrical Engineering and Systems Science - Image and Video ProcessingMRI, Ultra-high field, Multiple Sclerosis, Cortical lesions, Segmentation, CNNMachine Learning (cs.LG)