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Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images

Lecture notes in computer science(2023)10.1007/978-3-031-34048-2_43Source: DataRank Database

Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images is a research paper published in Lecture notes in computer science (2023). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access4 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 1.55)OA: greenTopics (26)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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Authors (3)

Chun-Hao Yang ORCID,Baba C. Vemuri ORCID,Jose Bouza

Live enrichment

PubMed:38205236 OpenAlex:https://openalex.org/W4379660328

NINDS NIH HHS

Grant: R01 NS121099

NINDS NIH HHS

Grant: RF1 NS121099

FWCI

1.55

Citation Percentile

0.9%

Citation Trend

2024

2025

greenLicense: https://www.springernature.com/gp/researchers/text-and-data-mining

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10781426/pdf/nihms-1956642.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-34048-2_43

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10781426

book serieshttps://doi.org/10.1007/978-3-031-34048-2_43

Fields of Study

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsMRI in cancer diagnosis

Keywords

Artificial intelligenceComputer scienceImage registrationDeep learningRigid transformationComputer visionJacobian matrix and determinantGround truthComputationDifferentiable functionDiffusion MRITransformation (genetics)Orientation (vector space)Convolutional neural networkMedical imagingPattern recognition (psychology)Image (mathematics)AlgorithmMagnetic resonance imagingMathematicsGeometryGeometric Deep LearningRegistration