🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Andrew Sellergren

Google (United States)

ORCID: 0000-0002-5260-8013

MedicineComputer Science

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 3 papers. Top paper: “Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19”.

Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

Scientific Reports(2021)10.1038/s41598-021-93967-2

N/A

0DataRank · unranked

54 citations

Andrew Sellergren, Shahar Jamshy, Charles T. Lau, Edward Santos, Atilla P. Kiraly +18 more

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders

arXiv (Cornell University)(2023)10.48550/arxiv.2308.01317

N/A

0DataRank · unranked

18 citations

Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma +23 more

Synthetically enhanced: unveiling synthetic data's potential in medical imaging research

EBioMedicine(2024)10.1016/j.ebiom.2024.105174

N/A

0DataRank · unranked

54 citations

Frank Li, Theo Dapamede, Pouria Rouzrokh, Cooper U. Gamble, Hari Trivedi +6 more