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

Pablo Messina

ORCID: 0000-0002-4517-478X

MedicineComputer ScienceNeuroscience

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: “Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation”.

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation

(2024)10.18653/v1/2024.findings-acl.236

N/A

0DataRank · unranked

5 citations

René Víctor Valqui Vidal, Denis Parra, Álvaro Soto, Vladimir Araujo, Pablo Messina

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation

arXiv (Cornell University)(2024)10.48550/arxiv.2407.01948

N/A

0DataRank · unranked

0 citations

René Víctor Valqui Vidal, Denis Parra, Álvaro Soto, Vladimir Araujo, Pablo Messina

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray

Medical Image Analysis(2025)10.1016/j.media.2025.103739

N/A

0DataRank · unranked

6 citations

Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee +29 more