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Aung T 62
Showing records 1 to 25 | Display all abstracts from Aung T104929 Differing Associations between Optic Nerve Head Strains and Visual Field Loss in Normal- and High-Tension Glaucoma Subjects
Chuangsuwanich T
Ophthalmology 2023; 130: 99-110
103826 Utilisation of poor-quality optical coherence tomography scans: adjustment algorithm from the Singapore Epidemiology of Eye Diseases (SEED) study
Thakur S
British Journal of Ophthalmology 2022; 106: 962-969
105107 Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma
Sreejith Kumar AJ
JAMA ophthalmology 2022; 140: 974-981
104372 Energy Dose-Response in Selective Laser Trabeculoplasty: A Review
Radcliffe N
Journal of Glaucoma 2022; 31: e49-e68
104406 Comparison of machine learning approaches for structure-function modeling in glaucoma
Wong D
Annals of the New York Academy of Science 2022; 1515: 237-248
105107 Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma
Chong RS
JAMA ophthalmology 2022; 140: 974-981
104406 Comparison of machine learning approaches for structure-function modeling in glaucoma
Chua J
Annals of the New York Academy of Science 2022; 1515: 237-248
104372 Energy Dose-Response in Selective Laser Trabeculoplasty: A Review
Gazzard G
Journal of Glaucoma 2022; 31: e49-e68
103826 Utilisation of poor-quality optical coherence tomography scans: adjustment algorithm from the Singapore Epidemiology of Eye Diseases (SEED) study
Yu M
British Journal of Ophthalmology 2022; 106: 962-969
104929 Differing Associations between Optic Nerve Head Strains and Visual Field Loss in Normal- and High-Tension Glaucoma Subjects
Tun TA
Ophthalmology 2023; 130: 99-110
104406 Comparison of machine learning approaches for structure-function modeling in glaucoma
Bujor I
Annals of the New York Academy of Science 2022; 1515: 237-248
105107 Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma
Crowston JG
JAMA ophthalmology 2022; 140: 974-981
104406 Comparison of machine learning approaches for structure-function modeling in glaucoma
Bujor I
Annals of the New York Academy of Science 2022; 1515: 237-248
103826 Utilisation of poor-quality optical coherence tomography scans: adjustment algorithm from the Singapore Epidemiology of Eye Diseases (SEED) study
Tham YC
British Journal of Ophthalmology 2022; 106: 962-969
104929 Differing Associations between Optic Nerve Head Strains and Visual Field Loss in Normal- and High-Tension Glaucoma Subjects
Braeu FA
Ophthalmology 2023; 130: 99-110
104372 Energy Dose-Response in Selective Laser Trabeculoplasty: A Review
Samuelson T
Journal of Glaucoma 2022; 31: e49-e68
104406 Comparison of machine learning approaches for structure-function modeling in glaucoma
Chong RS
Annals of the New York Academy of Science 2022; 1515: 237-248
105107 Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma
Chua J
JAMA ophthalmology 2022; 140: 974-981
104929 Differing Associations between Optic Nerve Head Strains and Visual Field Loss in Normal- and High-Tension Glaucoma Subjects
Wang X
Ophthalmology 2023; 130: 99-110
104372 Energy Dose-Response in Selective Laser Trabeculoplasty: A Review
Khaw P
Journal of Glaucoma 2022; 31: e49-e68
103826 Utilisation of poor-quality optical coherence tomography scans: adjustment algorithm from the Singapore Epidemiology of Eye Diseases (SEED) study
Majithia S
British Journal of Ophthalmology 2022; 106: 962-969
105107 Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma
Bujor I
JAMA ophthalmology 2022; 140: 974-981
104929 Differing Associations between Optic Nerve Head Strains and Visual Field Loss in Normal- and High-Tension Glaucoma Subjects
Chin ZY
Ophthalmology 2023; 130: 99-110
103826 Utilisation of poor-quality optical coherence tomography scans: adjustment algorithm from the Singapore Epidemiology of Eye Diseases (SEED) study
Soh ZD
British Journal of Ophthalmology 2022; 106: 962-969
104406 Comparison of machine learning approaches for structure-function modeling in glaucoma
Nongpiur ME
Annals of the New York Academy of Science 2022; 1515: 237-248
