Jonathan D. Oakley

MedicineEngineering

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: “Deep learning-based analysis of macaque corneal sub-basal nerve fibers in confocal microscopy images”.

Deep learning-based analysis of macaque corneal sub-basal nerve fibers in confocal microscopy images

Eye and Vision(2020)10.1186/s40662-020-00192-5

N/A

0DataRank · unranked

25 citations

Daniel B. Russakoff, Megan E. McCarron, Rachel L. Weinberg, Jessica Izzi, Stuti L. Misra +3 more

Combining In Vivo Corneal Confocal Microscopy With Deep Learning–Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection

Cornea(2021)10.1097/ico.0000000000002661

N/A

0DataRank · unranked

9 citations

Rachel L. Weinberg, Jessica Izzi, Suzanne E. Queen, Patrick M. Tarwater, Stuti L. Misra +4 more

Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study

PLoS ONE(2022)10.1371/journal.pone.0262111

N/A

0DataRank · unranked

14 citations

Austin Pereira, Jonathan D. Oakley, John Golding, Carmelina Trimboli, Daniel B. Russakoff +2 more

Use of a Convolutional Neural Network to Predict the Response of Diabetic Macular Edema to Intravitreal Anti-VEGF Treatment: A Pilot Study

American Journal of Ophthalmology(2025)10.1016/j.ajo.2025.02.017

N/A

0DataRank · unranked

6 citations

Joseph Luvisi, Daniel B. Russakoff, Jonathan D. Oakley, Emil Anthony T. Say, Jeffrey P. Blice +6 more