Applications of deep learning in detection of glaucoma: a systematic review

D Mirzania, AC Thompson… - European Journal of …, 2021 - journals.sagepub.com
Glaucoma is the leading cause of irreversible blindness and disability worldwide.
Nevertheless, the majority of patients do not know they have the disease and detection of …

Artificial intelligence and deep learning in glaucoma: current state and future prospects

MJA Girard, L Schmetterer - Progress in Brain Research, 2020 - Elsevier
Over the past few years, there has been an unprecedented and tremendous excitement for
artificial intelligence (AI) research in the field of Ophthalmology; this has naturally been …

Clinical factors associated with long-term OCT variability in glaucoma

JH Wu, S Moghimi, E Walker, T Nishida… - American Journal of …, 2023 - Elsevier
PURPOSE To examine clinical factors associated with long-term optical coherence
tomography (OCT)–measured retinal nerve fiber layer thickness (RNFLT) variability in …

Deep learning–assisted detection of glaucoma progression in spectral-domain OCT

EB Mariottoni, S Datta, LS Shigueoka… - Ophthalmology …, 2023 - Elsevier
Purpose To develop and validate a deep learning (DL) model for detection of glaucoma
progression using spectral-domain (SD)-OCT measurements of retinal nerve fiber layer …

Long-term reproducibility of optical coherence tomography angiography in healthy and stable glaucomatous eyes

T Nishida, S Moghimi, H Hou, JA Proudfoot… - British Journal of …, 2023 - bjo.bmj.com
Background/aims To assess and compare long-term reproducibility of optic nerve head
(ONH) and macula optical coherence tomography angiography (OCTA) vascular parameters …

Evaluation of the long-term variability of macular OCT/OCTA and visual field parameters

JH Wu, S Moghimi, T Nishida, E Walker… - British Journal of …, 2024 - bjo.bmj.com
Background/aims To assess the long-term variability of macular optical coherence
tomography (OCT)/OCT angiography (OCTA) and visual field (VF) parameters. Methods …

RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure

S Datta, EB Mariottoni, D Dov, AA Jammal, L Carin… - Scientific Reports, 2021 - nature.com
Glaucoma is the leading cause of irreversible blindness in the world, affecting over 70
million people. The cumbersome Standard Automated Perimetry (SAP) test is most …

Long-and short-term variability of perimetry in glaucoma

SK Gardiner, WH Swanson… - … Vision Science & …, 2022 - tvst.arvojournals.org
Purpose: Test–retest variability in perimetry consists of short-term and long-term
components, both of which impede assessment of progression. By minimizing and …

A bibliometric and mapping analysis of glaucoma research between 1900 and 2019

F López-Muñoz, RN Weinreb, S Moghimi… - Ophthalmology …, 2022 - Elsevier
Purpose To explore the relevance of scientific production on glaucoma using bibliometric
tools. Design Bibliographic study. Participants Original articles published from 1900 through …

[HTML][HTML] Mapping the binocular scotoma in macular degeneration

C Vullings, P Verghese - Journal of Vision, 2021 - iovs.arvojournals.org
When the scotoma is binocular in macular degeneration (MD), it often obscures objects of
interest, causing individuals to miss information. To map the binocular scotoma as precisely …