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ABLE: Automated Brain Lines Extraction Based on Laplacian Surface Collapse

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.18.476370Source: DataRank Database

ABLE: Automated Brain Lines Extraction Based on Laplacian Surface Collapse is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.

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Enrichment:Funding (3 grants)OA: greenTopics (29)IDs (PubMed, OpenAlex)

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Authors (10)

Daniel Martín de Blas ORCID,Francisco J. Navas‐Sánchez ORCID,Luis Marcos‐Vidal ORCID,Pedro M. Gordaliza ORCID,Javier Santonja ORCID

Live enrichment

PubMed:26207759 OpenAlex:https://openalex.org/W4205293368

National Institutes of Health

Grant: 3U54MH091657-03S1

Mapping the Human Connectome: Structure, Function, and Heritability

European Commission

Grant: 801091

ASPIDE: exAScale ProgramIng models for extreme Data procEssing

Swiss National Science Foundation

Grant: 185897

NCCR "SYNAPSY - The synaptic bases of mental diseases" (phase III)

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/01/20/2022.01.18.476370.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.01.18.476370

repositoryhttps://doi.org/10.1101/2022.01.18.476370

https://doi.org/10.1007/s12021-022-09601-7

Fields of Study

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

SulcusArtificial intelligenceLaplace operatorSurface (topology)Computer scienceSegmentationGyrusCortex (anatomy)Computer visionHuman Connectome ProjectPattern recognition (psychology)GeologyAnatomyMathematicsGeometryNeuroscienceBiologyCerebral CortexConnectomeHumansReproducibility of ResultsBrainMagnetic Resonance Imaging