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Herbert P 28
Showing records 1 to 25 | Display all abstracts from Herbert P108158 Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data
Herbert P
Ophthalmology. Glaucoma 2023; 6: 466-473
107529 A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach
Sabharwal J
Scientific reports 2023; 13: 1041
107729 Comparing the Accuracy of Peripapillary OCT Scans and Visual Fields to Detect Glaucoma Worsening
Bradley C
Ophthalmology 2023; 130: 631-639
108277 Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer Network
Hou K
Ophthalmology 2023; 130: 854-862
107529 A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach
Hou K
Scientific reports 2023; 13: 1041
108277 Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer Network
Bradley C
Ophthalmology 2023; 130: 854-862
107729 Comparing the Accuracy of Peripapillary OCT Scans and Visual Fields to Detect Glaucoma Worsening
Herbert P
Ophthalmology 2023; 130: 631-639
108158 Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data
Hou K
Ophthalmology. Glaucoma 2023; 6: 466-473
108277 Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer Network
Herbert P
Ophthalmology 2023; 130: 854-862
107729 Comparing the Accuracy of Peripapillary OCT Scans and Visual Fields to Detect Glaucoma Worsening
Hou K
Ophthalmology 2023; 130: 631-639
107529 A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach
Herbert P
Scientific reports 2023; 13: 1041
108158 Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data
Bradley C; Hager G
Ophthalmology. Glaucoma 2023; 6: 466-473
108277 Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer Network
Johnson C
Ophthalmology 2023; 130: 854-862
107729 Comparing the Accuracy of Peripapillary OCT Scans and Visual Fields to Detect Glaucoma Worsening
Unberath M
Ophthalmology 2023; 130: 631-639
107529 A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach
Bradley C
Scientific reports 2023; 13: 1041
108277 Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer Network
Wall M
Ophthalmology 2023; 130: 854-862
107529 A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach
Johnson CA
Scientific reports 2023; 13: 1041
107729 Comparing the Accuracy of Peripapillary OCT Scans and Visual Fields to Detect Glaucoma Worsening
Ramulu P
Ophthalmology 2023; 130: 631-639
108158 Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data
Boland MV
Ophthalmology. Glaucoma 2023; 6: 466-473
108277 Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer Network
Ramulu PY
Ophthalmology 2023; 130: 854-862
107729 Comparing the Accuracy of Peripapillary OCT Scans and Visual Fields to Detect Glaucoma Worsening
Yohannan J
Ophthalmology 2023; 130: 631-639
108158 Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data
Ramulu P
Ophthalmology. Glaucoma 2023; 6: 466-473
107529 A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach
Wall M
Scientific reports 2023; 13: 1041
108158 Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data
Unberath M
Ophthalmology. Glaucoma 2023; 6: 466-473
107529 A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach
Ramulu PY
Scientific reports 2023; 13: 1041