David S. Friedman

According to our database, David S. Friedman authored at least 4 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.

Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang

IEEE J. Biomed. Health Informatics, September, 2023

2022

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.

Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang

CoRR, 2022

2021

The Impact of Weather and Seasons on Falls and Physical Activity among Older Adults with Glaucoma: A Longitudinal Prospective Cohort Study.

Hursuong Vongsachang, Aleksandra Mihailovic, Jian-Yu E, David S. Friedman, Sheila K. West, Laura N. Gitlin, Pradeep Y. Ramulu

Sensors, 2021

EffUnet-SpaGen: An Efficient and Spatial Generative Approach to Glaucoma Detection.

Venkatesh Krishna Adithya, Bryan M. Williams, Silvester Czanner, Kavitha Srinivasan, David S. Friedman, Colin E. Willoughby, Rengaraj Venkatesh, Gabriela Czanner

J. Imaging, 2021