Artificial Intelligence Mapping of Structure to Function in Glaucoma-Reference-Cited by-同舟云学术

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Artificial Intelligence Mapping of Structure to Function in Glaucoma

Published:2020-03-30 Issue:2 Volume:9 Page:19
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Mariottoni Eduardo B.¹²,Datta Shounak³,Dov David³,Jammal Alessandro A.¹,Berchuck Samuel I.¹⁴,Tavares Ivan M.²,Carin Lawrence³,Medeiros Felipe A.¹³

Affiliation:

1. Vision, Imaging and Performance (VIP) Laboratory, Duke Eye Center, Duke University, Durham, NC, USA

2. Department of Ophthalmology and Visual Sciences, Paulista School of Medicine, Universidade Federal de Sao Paulo, São Paulo, Brazil

3. Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA

4. Department of Statistical Science and Forge, Duke University, Durham, NC, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep-Learning-Based Group Pointwise Spatial Mapping of Structure to Function in Glaucoma;Ophthalmology Science;2024-09

2. Exploring the relationship between 24‐2 visual field and widefield optical coherence tomography data across healthy, glaucoma suspect and glaucoma eyes;Ophthalmic and Physiological Optics;2024-07-26

3. Big data for imaging assessment in glaucoma;Taiwan Journal of Ophthalmology;2024-07

4. Big data in visual field testing for glaucoma;Taiwan Journal of Ophthalmology;2024-07

5. Artificial Intelligence in Glaucoma: A New Landscape of Diagnosis and Management;Journal of Clinical & Translational Ophthalmology;2024-05-25

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