Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Dolly S. Chang"'
Autor:
Dolly S. Chang, MD, PhD, Natalia F. Callaway, MD, MS, Verena Steffen, MSc, Karl Csaky, MD, PhD, Robyn H. Guymer, MBBS, PhD, David G. Birch, PhD, Praveen J. Patel, MD, Michael Ip, MD, Simon S. Gao, PhD, Jayla Briggs, BS, Lee Honigberg, PhD, Phillip Lai, MD, Daniela Ferrara, MD, PhD, Yasir J. Sepah, MBBS
Publikováno v:
Ophthalmology Science, Vol 4, Iss 1, Pp 100351- (2024)
Purpose: To assess different microperimetry (MP) macular sensitivity outcome measures capturing functional deterioration in eyes with geographic atrophy (GA) secondary to age-related macular degeneration (AMD). Design: Patients were included from 2 i
Externí odkaz:
https://doaj.org/article/4cac05321aed4ed8bfcbc006faad2bbe
Autor:
Mohammad Eslami, PhD, Julia A. Kim, BS, Miao Zhang, PhD, Michael V. Boland, MD, PhD, Mengyu Wang, PhD, Dolly S. Chang, MD, PhD, Tobias Elze, PhD
Publikováno v:
Ophthalmology Science, Vol 3, Iss 1, Pp 100222- (2023)
Purpose: Two novel deep learning methods using a convolutional neural network (CNN) and a recurrent neural network (RNN) have recently been developed to forecast future visual fields (VFs). Although the original evaluations of these models focused on
Externí odkaz:
https://doaj.org/article/badb264292504257b3314e38621f10fb
Autor:
David S. Friedman, Dolly S. Chang, Yuzhen Jiang, Shengsong Huang, Julia A. Kim, Beatriz Munoz, Tin Aung, Mingguang He, Paul J. Foster
Publikováno v:
Ophthalmology Glaucoma. 5:581-586
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db27ef1205f5dd67b56c67b870d7647
https://doi.org/10.1016/j.ogla.2022.04.003
https://doi.org/10.1016/j.ogla.2022.04.003
Autor:
Dolly S. Chang, Josephine Owoeye, Robert E. Slavin, Nancy A. Madden, Megan E. Collins, Lucy I. Mudie, Michael X. Repka, Xinxing Guo, David S. Friedman
Publikováno v:
Canadian Journal of Ophthalmology. 57:29-35
Objective We describe the Baltimore Reading and Eye Disease Study, report baseline ocular findings, and explore the feasibility of eye examinations in the school setting. Design Prospective, school-based cohort study. Participants Students in second
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1930534bc1acf0c11621cf254d3d7fa9
https://doi.org/10.1016/j.jcjo.2021.02.014
https://doi.org/10.1016/j.jcjo.2021.02.014
Autor:
Joyce Kang, Sofia De Arrigunaga, Sandra E. Freeman, Yan Zhao, Michael Lin, Daniel L. Liebman, Ana M. Roldan, Julia A. Kim, Dolly S. Chang, David S. Friedman, Tobias Elze
Publikováno v:
Ophthalmology Glaucoma.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6c5d3d43adf8529c0277a541105ac0
https://doi.org/10.1016/j.ogla.2023.03.001
https://doi.org/10.1016/j.ogla.2023.03.001
Autor:
Mohammad, Eslami, Julia A, Kim, Miao, Zhang, Michael V, Boland, Mengyu, Wang, Dolly S, Chang, Tobias, Elze
Publikováno v:
Ophthalmology science. 3(1)
Two novel deep learning methods using a convolutional neural network (CNN) and a recurrent neural network (RNN) have recently been developed to forecast future visual fields (VFs). Although the original evaluations of these models focused on overall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::922f053e60390388480cf3aae744d9a4
https://pubmed.ncbi.nlm.nih.gov/36325476
https://pubmed.ncbi.nlm.nih.gov/36325476
Autor:
Saira Khanna, Dolly S. Chang
Publikováno v:
Essentials in Ophthalmology ISBN: 9783031117190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e72c77221251d631ffbf759d730df909
https://doi.org/10.1007/978-3-031-11720-6_2
https://doi.org/10.1007/978-3-031-11720-6_2
Autor:
David S. Friedman, Dolly S. Chang, Paul J. Foster, Mingguang He, Tin Aung, Yuzhen Jiang, Beatriz Munoz, Shengsong Huang
Publikováno v:
The Lancet. 393:1609-1618
Background Primary angle-closure glaucoma affects 20 million people worldwide. People classified as primary angle closure suspects have a higher but poorly quantified risk of developing glaucoma. We aimed to assess efficacy and safety of laser periph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5c3909dba2bcf7badc8bc26551701cf
https://doi.org/10.1016/s0140-6736(18)32607-2
https://doi.org/10.1016/s0140-6736(18)32607-2
Autor:
Suria S. Mannil, Dolly S. Chang, Carol Y. Cheung, Jonathan D. Oakley, Mohammed Riyazzuddin, Daniel B. Russakoff, Anran Ran, Srilakshmi Dasari, Robert T. Chang, Sriharsha Nagaraj, Harsha L. Rao
Publikováno v:
Translational Vision Science & Technology
Purpose The purpose of this study was to develop a 3D deep learning system from spectral domain optical coherence tomography (SD-OCT) macular cubes to differentiate between referable and nonreferable cases for glaucoma applied to real-world datasets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::535d2755e9336438c89acd27e496c583
https://doi.org/10.1167/tvst.9.2.12
https://doi.org/10.1167/tvst.9.2.12
Publikováno v:
JAMA ophthalmology. 137(2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65d0e6e3815689c3ce7637de804013fb
https://pubmed.ncbi.nlm.nih.gov/30452508
https://pubmed.ncbi.nlm.nih.gov/30452508