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WGA Rescources

Elze T 52

Showing records 1 to 25 | Display all abstracts from Elze T

95169 The Effect of Ametropia on Glaucomatous Visual Field Loss
Choi EY
Journal of clinical medicine 2021; 10:
95312 Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression
Saeedi O
Translational vision science & technology 2021; 10: 27
94543 Structure-Function Mapping Using a Three-Dimensional Neuroretinal Rim Parameter Derived From Spectral Domain Optical Coherence Tomography Volume Scans
Celebi ARC
Translational vision science & technology 2021; 10: 28
94397 Usage Patterns of Minimally Invasive Glaucoma Surgery (MIGS) Differ by Glaucoma Type: IRIS Registry Analysis 2013-2018
Yang SA
Ophthalmic Epidemiology 2021; 0: 1-9
95169 The Effect of Ametropia on Glaucomatous Visual Field Loss
Wong RCS
Journal of clinical medicine 2021; 10:
94397 Usage Patterns of Minimally Invasive Glaucoma Surgery (MIGS) Differ by Glaucoma Type: IRIS Registry Analysis 2013-2018
Mitchell WG
Ophthalmic Epidemiology 2021; 0: 1-9
95312 Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression
Boland MV
Translational vision science & technology 2021; 10: 27
94543 Structure-Function Mapping Using a Three-Dimensional Neuroretinal Rim Parameter Derived From Spectral Domain Optical Coherence Tomography Volume Scans
Park EA; Verticchio Vercellin AC
Translational vision science & technology 2021; 10: 28
94397 Usage Patterns of Minimally Invasive Glaucoma Surgery (MIGS) Differ by Glaucoma Type: IRIS Registry Analysis 2013-2018
Hall N
Ophthalmic Epidemiology 2021; 0: 1-9
95169 The Effect of Ametropia on Glaucomatous Visual Field Loss
Thein T
Journal of clinical medicine 2021; 10:
95312 Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression
D'Acunto L
Translational vision science & technology 2021; 10: 27
95169 The Effect of Ametropia on Glaucomatous Visual Field Loss
Pasquale LR
Journal of clinical medicine 2021; 10:
95312 Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression
Swamy R
Translational vision science & technology 2021; 10: 27
94397 Usage Patterns of Minimally Invasive Glaucoma Surgery (MIGS) Differ by Glaucoma Type: IRIS Registry Analysis 2013-2018
Elze T
Ophthalmic Epidemiology 2021; 0: 1-9
94543 Structure-Function Mapping Using a Three-Dimensional Neuroretinal Rim Parameter Derived From Spectral Domain Optical Coherence Tomography Volume Scans
Tsikata E
Translational vision science & technology 2021; 10: 28
94397 Usage Patterns of Minimally Invasive Glaucoma Surgery (MIGS) Differ by Glaucoma Type: IRIS Registry Analysis 2013-2018
Miller JW
Ophthalmic Epidemiology 2021; 0: 1-9
95169 The Effect of Ametropia on Glaucomatous Visual Field Loss
Shen LQ
Journal of clinical medicine 2021; 10:
94543 Structure-Function Mapping Using a Three-Dimensional Neuroretinal Rim Parameter Derived From Spectral Domain Optical Coherence Tomography Volume Scans
Lee R
Translational vision science & technology 2021; 10: 28
95312 Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression
Hegde V
Translational vision science & technology 2021; 10: 27
94543 Structure-Function Mapping Using a Three-Dimensional Neuroretinal Rim Parameter Derived From Spectral Domain Optical Coherence Tomography Volume Scans
Shieh E
Translational vision science & technology 2021; 10: 28
94397 Usage Patterns of Minimally Invasive Glaucoma Surgery (MIGS) Differ by Glaucoma Type: IRIS Registry Analysis 2013-2018
Lorch AC
Ophthalmic Epidemiology 2021; 0: 1-9
95312 Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression
Gupta S
Translational vision science & technology 2021; 10: 27
95169 The Effect of Ametropia on Glaucomatous Visual Field Loss
Wang M
Journal of clinical medicine 2021; 10:
94397 Usage Patterns of Minimally Invasive Glaucoma Surgery (MIGS) Differ by Glaucoma Type: IRIS Registry Analysis 2013-2018
Zebardast N
Ophthalmic Epidemiology 2021; 0: 1-9
94543 Structure-Function Mapping Using a Three-Dimensional Neuroretinal Rim Parameter Derived From Spectral Domain Optical Coherence Tomography Volume Scans
Antar H
Translational vision science & technology 2021; 10: 28

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