Erin Chinn

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning”.

Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning

medRxiv(2020)10.1101/2020.06.22.20137786

N/A

0DataRank · unranked

39 citations

Lara Curran, Yili Zhao, Jami C. Levine, Erin Chinn, Anita J. Moon‐Grady +1 more

An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease

Nature Medicine(2021)10.1038/s41591-021-01342-5

N/A

0DataRank · unranked

276 citations

Lara Curran, Yili Zhao, Jami C. Levine, Erin Chinn, Anita J. Moon‐Grady +1 more

ENRICH: Exploiting Image Similarity to Maximize Efficient Machine Learning in Medical Imaging

Research Square(2021)10.21203/rs.3.rs-1000939/v1

N/A

0DataRank · unranked

3 citations

Rohit Arora, Ramy Arnaout, Rima Arnaout, Erin Chinn

ENRICHing Medical Imaging Training Sets Enables More Efficient Machine Learning

medRxiv(2021)10.1101/2021.05.22.21257645

N/A

0DataRank · unranked

1 citations

Rohit Arora, Ramy Arnaout, Rima Arnaout, Erin Chinn

ENRICHing medical imaging training sets enables more efficient machine learning

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad055

N/A

0DataRank · unranked

18 citations

Rohit Arora, Ramy Arnaout, Rima Arnaout, Erin Chinn