Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Roomasa Channa, MD"'
Autor:
Amitha Domalpally, MD, PhD, Robert Slater, PhD, Rachel E. Linderman, PhD, Rohit Balaji, Jacob Bogost, Rick Voland, PhD, Jeong Pak, PhD, Barbara A. Blodi, MD, Roomasa Channa, MD, Donald Fong, MD, Emily Y. Chew, MD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 5, Pp 100477- (2024)
Purpose: To gain an understanding of data labeling requirements to train deep learning models for measurement of geographic atrophy (GA) with fundus autofluorescence (FAF) images. Design: Evaluation of artificial intelligence (AI) algorithms. Subject
Externí odkaz:
https://doaj.org/article/0d3b01e7a2364f998155a36fc00d6367
Autor:
Roomasa Channa, MD, Risa M. Wolf, MD, Rafael Simo, MD, PhD, Mitchell Brigell, PhD, Patrice Fort, PhD, Christine Curcio, PhD, Stephanie Lynch, MD, Frank Verbraak, MD, PhD, Michael D. Abramoff, MD, PhD, Michael D. Abramoff, Roomasa Channa, Risa M. Wolf, Rafael Simo, Mitch Brigell, Patrice Fort, Christine Curcio, Stephanie Lynch, Frank Verbraak, Thomas W. Gardner
Publikováno v:
Ophthalmology Science, Vol 4, Iss 3, Pp 100420- (2024)
Topic: The goal of this review was to summarize the current level of evidence on biomarkers to quantify diabetic retinal neurodegeneration (DRN) and diabetic macular edema (DME). Clinical relevance: With advances in retinal diagnostics, we have more
Externí odkaz:
https://doaj.org/article/96ef4c0a4b904c46ab1afcd1b8121189
Autor:
Nicole Duncan, MD, Nancy Barrett, MS, Kathleen Schildroth, MD, Jonathan S. Chang, MD, Roomasa Channa, MD, Kelsey Rickels, OD, Amitha Domalpally, MD, PhD, Barbara Blodi, MD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 3, Pp 100427- (2024)
Purpose: The purpose of this study was to compare diabetic retinopathy (DR) severity levels assessed from 7 standard-field stereoscopic color photographs on a 35° fundus camera to both Clarus and Optos ultrawidefield color images. Design: Cross-sect
Externí odkaz:
https://doaj.org/article/0a6cf35594714e52b795b5a5c465cfc5
Autor:
Amitha Domalpally, MD, PhD, Robert Slater, PhD, Nancy Barrett, MS, Rick Voland, MS, Rohit Balaji, BA, Jennifer Heathcote, BA, Roomasa Channa, MD, Barbara Blodi, MD
Publikováno v:
Ophthalmology Science, Vol 2, Iss 4, Pp 100198- (2022)
Purpose: The curation of images using human resources is time intensive but an essential step for developing artificial intelligence (AI) algorithms. Our goal was to develop and implement an AI algorithm for image curation in a high-volume setting. W
Externí odkaz:
https://doaj.org/article/9d17539b74d04e7691c9597143539743