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Boland MV 18

Showing records 1 to 18 | Display all abstracts from Boland MV

79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Wang M
Investigative Ophthalmology and Visual Science 2019; 60: 365-375
79704 Artificial intelligence in glaucoma
Zheng C
Current Opinions in Ophthalmology 2019; 30: 97-103
80030 The Relationship Between Quantitative Pupillometry and Estimated Ganglion Cell Counts in Patients With Glaucoma
Chang DS
Journal of Glaucoma 2019; 28: 238-242
79578 Association Between Sleep Parameters and Glaucoma in the United States Population: National Health and Nutrition Examination Survey
Qiu M
Journal of Glaucoma 2019; 28: 97-104
79746 Association of an Electronic Health Record-Linked Glaucoma Medical Reminder With Patient Satisfaction
Varadaraj V
JAMA ophthalmology 2019; 137: 240-245
79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Shen LQ
Investigative Ophthalmology and Visual Science 2019; 60: 365-375
79578 Association Between Sleep Parameters and Glaucoma in the United States Population: National Health and Nutrition Examination Survey
Ramulu PY
Journal of Glaucoma 2019; 28: 97-104
80030 The Relationship Between Quantitative Pupillometry and Estimated Ganglion Cell Counts in Patients With Glaucoma
Arora K
Journal of Glaucoma 2019; 28: 238-242
79746 Association of an Electronic Health Record-Linked Glaucoma Medical Reminder With Patient Satisfaction
Friedman DS
JAMA ophthalmology 2019; 137: 240-245
79704 Artificial intelligence in glaucoma
Johnson TV
Current Opinions in Ophthalmology 2019; 30: 97-103
79746 Association of an Electronic Health Record-Linked Glaucoma Medical Reminder With Patient Satisfaction
Boland MV
JAMA ophthalmology 2019; 137: 240-245
79578 Association Between Sleep Parameters and Glaucoma in the United States Population: National Health and Nutrition Examination Survey
Boland MV
Journal of Glaucoma 2019; 28: 97-104
79704 Artificial intelligence in glaucoma
Garg A
Current Opinions in Ophthalmology 2019; 30: 97-103
79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Pasquale LR
Investigative Ophthalmology and Visual Science 2019; 60: 365-375
80030 The Relationship Between Quantitative Pupillometry and Estimated Ganglion Cell Counts in Patients With Glaucoma
Boland MV
Journal of Glaucoma 2019; 28: 238-242
79704 Artificial intelligence in glaucoma
Boland MV
Current Opinions in Ophthalmology 2019; 30: 97-103
80030 The Relationship Between Quantitative Pupillometry and Estimated Ganglion Cell Counts in Patients With Glaucoma
Friedman DS
Journal of Glaucoma 2019; 28: 238-242
79883 An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
Petrakos P; Formica S; Boland MV; Wellik SR; De Moraes CG; Myers JS; Saeedi O; Wang H; Baniasadi N; Li D; Tichelaar J; Bex PJ; Elze T
Investigative Ophthalmology and Visual Science 2019; 60: 365-375

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