Talks

Dr. Tobias Elze: OCT, myopia, and disease diagnostics

Dr. Mengyu Wang: Interpretable and equitable AI in ophthalmology

Dr. Nazlee Zebardast: Diversity in glaucoma datasets

Dr. Mengyu Wang: Label-efficient, artifact-robust, interpretable and equitable AI in ophthalmology

Dr. Mengyu Wang: Artificial intelligence's applications and advancements in ophthalmology

Dr. Mengyu Wang: Equitable artificial intelligence for eye disease screening

Dr. Mengyu Wang: Label-efficient, artifact-robust, interpretable and equitable AI in ophthalmology

Dr. Nazlee Zebardast: AI to improve discovery and prediction

Dr. Nazlee Zebardast: Machine learning derived visual field patterns are associated with glaucoma polygenic risk score in the Ocular Hypertension Treatment Study

Dr. Nazlee Zebardast: Genome wide discovery via feature space mapping of deep-learning derived clinical OCT phenotypes to the UK biobank

Dr. Nazlee Zebardast: Social determinants of health as risk factors for glaucoma

Dr. Nazlee Zebardast: Harnessing the power of big data: precision medicine in glaucoma care

Dr. Nazlee Zebardast: Glaucoma fireside chat

Dr. Nazlee Zebardast: Genome wide discovery via feature space mapping of deep-learning derived clinical OCT phenotypes to the UK biobank

Dr. Tobias Elze: Patterns of visual functional loss in patients with glaucoma

Dr. Nazlee Zebardast: Achieving equity through use of AI for glaucoma

Dr. Nazlee Zebardast: The impact of visual impairment on depression and anxiety during the COVID-19 pandemic

Dr. Mengyu Wang: Assessing retinal surface shapes around the optic nerve head in glaucoma with unsupervised artificial intelligence

Dr. Mengyu Wang: Developing deep learning models for denoising visual fields in glaucoma

Dr. Tobias Elze: Analyzing race/ethnicity of MEE patients using the example of glaucoma

Dr. Tobias Elze: The Mass Eye and Ear data repository: components and applications

Dr. Mengyu Wang: Developing deep learning models for ophthalmic data enhancement in glaucoma

Dr. Tobias Elze: Identifying disease subtypes from complex medical data

Dr. Nazlee Zebardast: Deep unsupervised discovery of OCT phenotypes enables genome-wide analyses.

Dr. Mohammad Eslami: Evaluation of deep learning visual field prediction models for clinical relevance

Dr. Tobias Elze: Drilling our own crude oil: The MEE data and imaging repository

Dr. Tobias Elze: Big data in ophthalmic research

Dr. Tobias Elze: Artificial intelligence approaches to understand functional vision defects

Dr. Yangjiani Li: Relationship between retinal layers' thickness in OCT macular scans and diabetic parameters and Indices in a non-diabetic population

Dr. Mengyu Wang: Spatial patterns of ganglion cell complex thickness are associated with brain parameters

Dr. Yangjiani Li: Correlation patterns of insulin sensitivity or insulin resistance indices vs. HbA1c with ten macular retinal layer thicknesses in a non-diabetic population

Dr. Mengyu Wang: Artificial intelligence assessment of optic cup shape patterns in glaucoma

Dr. Mengyu Wang: Applying unsupervised machine learning to assess OCT scans for glaucoma

Dr. Mengyu Wang: The rise, development and bottlenecks of artificial intelligence applications in ophthalmology

Dr. Mohammad Eslami: Predicting the progression of glaucomatous vision loss & Visualized learning for shared decision making

Dr. Tobias Elze: When epidemiology meets ophthalmic "big data"

Dr. Mengyu Wang: An artificial intelligence approach to assess retinal nerve fiber layer thickness in glaucoma

Dr. Tobias Elze: Patterns of visual functional loss in patients with glaucoma (Invited symposium presentation

Dr. Tobias Elze: Identification of functional and structural subtypes of glaucoma

Dr. Tobias Elze: Identifying defect classes of glaucoma

Dr. Yangjiani Li: Relationship between diabetic tests and retinal layer thicknesses

Bettina Teng: Inter-eye symmetries of visual field defects in glaucoma

Dr. Mengyu Wang: The impact of age-related macular degeneration on the retinal layer thickness maps

Dr. Yangjiani Li: Age-controlled correlation between blood HbA1c level and thicknesses of ten retinal layers on macular OCT volume scans

Dr. Mengyu Wang: Inter-eye correlation of visual field defects in glaucoma

Dr. Tobias Elze: AI for function: utility for detection of glaucoma or its progression

Dr. Tobias Elze: The Eye, the brain, and cognitive performance

Dr. Tobias Elze: “Big data”, medicine, epidemiology, and population based research

Dr. Mengyu Wang: An artificial intelligence method to assist clinician to assess visual field progression in glaucoma

Dr. Mengyu Wang: Central visual field loss patterns in glaucoma

Dr. Jorryt Gerlof Tichelaar: Defect classes of visual field measurement in glaucoma

Dr. Tobias Elze: Defect classes of glaucomatous vision loss

Dr. Mengyu Wang: Interpreting visual field by unsupervised artificial intelligence

Dr. Tobias Elze: Glaucomatous functional defect classes

Dr. Tobias Elze: Personalizing the diagnosis of glaucomatous vision loss and its evolution over time

Dr. Tobias Elze: Patterns and defect classes of vision loss in glaucoma

Dr. Tobias Elze: Patterns of glaucomatous damage and their evolution over time

Dr. Tobias Elze: Mapping cognitive domains to retinal nerve fiber layer thickness

Dr. Mengyu Wang: A new method to detect visual field progression based on spatial pattern analysis

Dr. Mengyu Wang: Retinal drusen size is associated with white matter hyperintensity volume

Dr. Mengyu Wang: The relationship between the full circumpapillary retinal nerve fiber layer thickness (RNLFT) profile and age in healthy subjects