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Differential patterns of automatic segmentation of 3T and 7T MRI: Implications in neuropsychiatric disease

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.25.525542Source: DataRank Database

Differential patterns of automatic segmentation of 3T and 7T MRI: Implications in neuropsychiatric disease is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (16)IDs (PubMed, OpenAlex)SDGs (2)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Ki Sueng Choi ORCID,Helen S. Mayberg ORCID,Priti Balchandani ORCID,Gaurav Verma ORCID

Live enrichment

PubMed:36747735 OpenAlex:https://openalex.org/W4318306305

National Institutes of Health

Grant: 1R01MH109544-01A1

7T MRI to reveal structural, connectomic and metabolic imaging markers for the neurobiology of depression

NIMH NIH HHS

Grant: R01 MH109544

green

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/01/27/2023.01.25.525542.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.01.25.525542

repositoryhttp://dx.doi.org/10.1101/2023.01.25.525542

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36747735

Fields of Study

Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications03 medical and health sciences0302 clinical medicine

Keywords

White matterSegmentationMagnetic resonance imagingHyperintensityMedicineNuclear medicineNeurosciencePsychologyRadiologyArtificial intelligenceComputer science

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being