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

por Sodhi, Simrat K., Pereira, Austin, Oakley, Jonathan D., Golding, John, Trimboli, Carmelina, Russakoff, Daniel B., Choudhry, Netan
Publicado 2022

Corneal Nerve Changes Observed by In Vivo Confocal Microscopy in Patients Receiving Oxaliplatin for Colorectal Cancer: The COCO Study

por Tyler, Ellen F., McGhee, Charles N. J., Lawrence, Benjamin, Braatvedt, Geoffrey D., Mankowski, Joseph L., Oakley, Jonathan D., Sethi, Sargun, Misra, Stuti L.
Publicado 2022

QUANTITATIVE ASSESSMENT OF AUTOMATED OPTICAL COHERENCE TOMOGRAPHY IMAGE ANALYSIS USING A HOME-BASED DEVICE FOR SELF-MONITORING NEOVASCULAR AGE-RELATED MACULAR DEGENERATION

por Oakley, Jonathan D., Verdooner, Steven, Russakoff, Daniel B., Brucker, Alexander J., Seaman, John, Sahni, Jayashree, BIANCHI, Carlo D., Cozzi, Mariano, Rogers, John, Staurenghi, Giovanni
Publicado 2023

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

por Oakley, Jonathan D., Russakoff, Daniel B., McCarron, Megan E., Weinberg, Rachel L., Izzi, Jessica M., Misra, Stuti L., McGhee, Charles N., Mankowski, Joseph L.
Publicado 2020

A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans

por Russakoff, Daniel B., Mannil, Suria S., Oakley, Jonathan D., Ran, An Ran, Cheung, Carol Y., Dasari, Srilakshmi, Riyazzuddin, Mohammed, Nagaraj, Sriharsha, Rao, Harsha L., Chang, Dolly, Chang, Robert T.
Publicado 2020