Arvind Vepa

University of California, Los Angeles

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 4 papers. Top paper: “Data-driven prediction of continuous renal replacement therapy survival”.

Data-driven prediction of continuous renal replacement therapy survival

Research Square(2023)10.21203/rs.3.rs-3487939/v1

N/A

0.104DataRank · unranked

1 citations

Davina Zamanzadeh, Jeffrey Feng, Panayiotis Petousis, Arvind Vepa, Majid Sarrafzadeh +3 more

Prediction of visual field progression with serial optic disc photographs using deep learning

British Journal of Ophthalmology(2023)10.1136/bjo-2023-324277

N/A

0DataRank · unranked

16 citations

Sean M. Wu, Tyler Davis, Arvind Vepa, Esteban Morales, Sajad Besharati +8 more

Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning

American Journal of Ophthalmology(2024)10.1016/j.ajo.2024.02.007

N/A

0DataRank · unranked

25 citations

Sean Wu, Sajad Besharati, Tyler Davis, Arvind Vepa, Esteban Morales +8 more

Data-driven prediction of continuous renal replacement therapy survival

Nature Communications(2024)10.1038/s41467-024-49763-3

N/A

0DataRank · unranked

11 citations

Jeffrey Feng, Panayiotis Petousis, Arvind Vepa, Majid Sarrafzadeh, S. Ananth Karumanchi +3 more