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Subtyping Brain Diseases from Imaging Data

Neuromethods(2023)10.1007/978-1-0716-3195-9_16Source: DataRank Database

Subtyping Brain Diseases from Imaging Data is a research paper published in Neuromethods (2023). On theSindex it has a DataRank of 0. It has been cited 17 times.

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Open Access17 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 19.06)OA: hybridTopics (34)IDs (PubMed, OpenAlex)SDGs (2)

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 (8)

Erdem Varol ORCID,Zhijian Yang ORCID,Gyujoon Hwang ORCID,Dominique Dwyer,Anahita Fathi Kazerooni ORCID

Live enrichment

PubMed:19276002 OpenAlex:https://openalex.org/W4385216628

National Institutes of Health

Grant: 1RF1AG054409-01

Heterogeneity of Multi-modal Imaging Signatures of Aging, MCI, Alzheimer's disease via Pattern Analysis

National Institutes of Health

Grant: 1U01AG068057-01

Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks

National Institutes of Health

Grant: 7R01NS042645-02

Modeling/Estimating brain deformation in tumor patients

National Institutes of Health

Grant: 5R01MH112070-03

Mapping Heterogeneity of Neuroanatomical Imaging Signatures of Psychosis via Pattern Analysis

FWCI

19.06

Citation Percentile

1.0%

Citation Trend

2022

2023

2024

2025

2026

hybridLicense: cc-by

book serieshttps://link.springer.com/content/pdf/10.1007/978-1-0716-3195-9_16.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-1-0716-3195-9_16.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-1-0716-3195-9_16

book serieshttps://doi.org/10.1007/978-1-0716-3195-9_16

repositoryhttps://hal.science/hal-04239807

Fields of Study

Functional Brain Connectivity StudiesBioinformatics and Genomic NetworksMedical Imaging Techniques and Applications03 medical and health sciences0302 clinical medicine

Keywords

SubtypingNeuroimagingDiseasePsychosisDepression (economics)MedicineBrain diseasePsychologyNeuroscienceData sciencePsychiatryComputer sciencePathology[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]FOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)[INFO.INFO-IM] Computer Science [cs]/Medical ImagingComputer Science - Computer Vision and Pattern Recognition[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]Electrical Engineering and Systems Science - Image and Video ProcessingMachine Learning (cs.LG)[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Machine learningFOS: Electrical engineering, electronic engineering, information engineeringHeterogeneityNeuroimaging Machine learning Semi-supervised clustering HeterogeneitySemi-supervised clustering

Sustainable Development Goals

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