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Models Genesis

Medical Image Analysis(2020)10.1016/j.media.2020.101840Source: DataRank Database

Models Genesis is a research paper published in Medical Image Analysis (2020). On theSindex it has a DataRank of 0. It has been cited 306 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access306 citations

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Linked data & code

Additional file 1 of Transfer learning–based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma · figshare
Additional file 1 of Transfer learning–based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma · figshare
Models Genesis · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 13.62)OA: greenTopics (33)Linked Datasets (3)DataCite Reuse (3)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (5)

Vatsal Sodha,Jiaxuan Pang,Michael B. Gotway ORCID,Jianming Liang ORCID,Zongwei Zhou ORCID

Live enrichment

PubMed:33188996 PMC:PMC7726094 OpenAlex:https://openalex.org/W3016836174

NHLBI NIH HHS

Grant: R01 HL128785

National Institutes of Health

Grant: 5R01HL128785-04

Computer-Aided Diagnosis of Pulmonary Embolism

National Institutes of Health

FWCI

13.62

Citation Percentile

1.0%

Citation Trend

2021

2022

2023

2024

2025

2026

greenLicense: Elsevier TDM

repositoryhttps://arxiv.org/pdf/2004.07882

publisherhttps://api.elsevier.com/content/article/PII:S1361841520302048?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1361841520302048?httpAccept=text/plain

repositoryhttp://arxiv.org/abs/2004.07882

Fields of Study

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingAI in cancer detection03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

MeSH Terms

HumansMagnetic Resonance ImagingImaging, Three-Dimensional

Keywords

Computer scienceArtificial intelligenceDeep learningSet (abstract data type)Medical imagingTransfer of learningModalitiesRepresentation (politics)SegmentationMachine learningRepresentation LearningTransfer Learning3D Deep LearningSelf-supervised LearningFOS: Computer and information sciencesImaging, Three-DimensionalComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringHumansElectrical Engineering and Systems Science - Image and Video ProcessingMagnetic Resonance Imaging

Sustainable Development Goals

SDG 0: Quality Education

Additional file 1 of Transfer learning–based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma

10.6084/m9.figshare.25341110.v1figshare

Additional file 1 of Transfer learning–based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma

10.6084/m9.figshare.25341110figshare

Models Genesis

10.48550/arxiv.2004.07882arXiv