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

Maya Vella

University of California, San Francisco

ORCID: 0000-0002-4816-5563

Also affiliated with University of California System, University of San Francisco

Medicine

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: “Comparison of MRI, MRA, and DSA for Detection of Cerebral Arteriovenous Malformations in Hereditary Hemorrhagic Telangiectasia”.

Comparison of MRI, MRA, and DSA for Detection of Cerebral Arteriovenous Malformations in Hereditary Hemorrhagic Telangiectasia

American Journal of Neuroradiology(2020)10.3174/ajnr.a6549
N/A
0DataRank · unranked
17 citations

Matthew D. Alexander, Marc C. Mabray, Daniel L. Cooke, Matthew R. Amans, Christine M. Glastonbury +6 more

Semantic Retrieval of Similar Radiological Images using Vision Transformers

medRxiv(2023)10.1101/2023.02.16.23286056
N/A
0DataRank · unranked
3 citations

Michael Jayasuriya, Adrian Serapio, Xiao Wu, Eric Davis, Jamie Schroeder +3 more

Arterial Spin-Labeling MR Imaging in the Detection of Intracranial Arteriovenous Malformations in Patients with Hereditary Hemorrhagic Telangiectasia

American Journal of Neuroradiology(2024)10.3174/ajnr.a8281
N/A
0DataRank · unranked
6 citations

Woody Han, Yi Li, Samuel A Vydro, Maya Vella, Tony Truong +6 more