Healthcare Innovations and Translational Informatics lab (HITI) @ Emory


Machine learning for Health, Imaging Informatics

Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers


Journal article


Imon Banerjee, Luis de Sisternes, Joelle A Hallak, Theodore Leng, Aaron Osborne, Philip J Rosenfeld, Giovanni Gregori, Mary Durbin, Daniel Rubin
Scientific Reports, Nature Publishing Group, 2020, pp. 1--16

Cite

APA
Banerjee, I., de Sisternes, L., Hallak, J. A., Leng, T., Osborne, A., Rosenfeld, P. J., … Rubin, D. (2020). Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers. Scientific Reports, 10, 1–16.

Chicago/Turabian
Banerjee, Imon, Luis de Sisternes, Joelle A Hallak, Theodore Leng, Aaron Osborne, Philip J Rosenfeld, Giovanni Gregori, Mary Durbin, and Daniel Rubin. “Prediction of Age-Related Macular Degeneration Disease Using a Sequential Deep Learning Approach on Longitudinal SD-OCT Imaging Biomarkers.” Scientific Reports 10 (2020): 1–16.

MLA
Banerjee, Imon, et al. “Prediction of Age-Related Macular Degeneration Disease Using a Sequential Deep Learning Approach on Longitudinal SD-OCT Imaging Biomarkers.” Scientific Reports, vol. 10, Nature Publishing Group, 2020, pp. 1–16.