Full Text Journal Articles by
Author Nadim S Azar

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DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity.

Tiarnan D L Keenan, Qingyu Chen, Elvira Agrón, Yih-Chung Tham, Jocelyn Hui Lin Goh, Xiaofeng Lei, Yi Pin Ng, Yong Liu, Xinxing Xu, Ching-Yu Cheng, Mukharram M Bikbov, Jost B Jonas, Sanjeeb Bhandari, Geoffrey K Broadhead, Marcus H Colyer, Jonathan Corsini, Chantal Cousineau-Krieger, William Gensheimer, David Grasic, Tania Lamba, M Teresa Magone, Michele Maiberger, Arnold Oshinsky, Boonkit Purt, Soo Y Shin, Alisa T Thavikulwat, Zhiyong Lu, Emily Y Chew, ,

<h4>Purpose</h4>To develop deep learning models to perform automated diagnosis and quantitative classification of age-related cataract from anterior segment photographs.<h4>Design</h4>DeepLensNet was trained by applying deep learning models to the Age-Related Eye Disease Study (AREDS) dataset.<h4>Participants</h4>A total of 18 999 photographs (6333 triplets) from longitudinal follow-up of 1137 eyes (576 AREDS participants).<h4>Methods</h4>Deep learning ... Read more >>

Ophthalmology (Ophthalmology)
[2022, 129(5):571-584]

Cited: 1 time

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Diabetic Nephropathy and COVID-19: The Potential Role of Immune Actors.

Diane Mourad, Nadim S Azar, Sami T Azar,

Nowadays, type II diabetes mellitus, more specifically ensuing diabetic nephropathy, and severe COVID-19 disease are known to be closely associated. The exact mechanisms behind this association are less known. An implication for the angiotensin-converting enzyme 2 remains controversial. Some researchers have started looking into other potential actors, such as neuropilin-1, ... Read more >>

Int J Mol Sci (International journal of molecular sciences)
[2021, 22(15):7762]

Cited: 4 times

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