Research graph
References from Multimodal Deep Learning for Humphrey 24-2 Visual Field Prediction: Evaluating the Contribution of Fellow-Eye Information in Glaucoma and Ocular Hypertension. Local targets link to admitted publications; unresolved targets remain external evidence.
Global prevalence of glaucoma and projections of glaucoma burden through 2040: A systematic review and meta-analysis
10.1016/j.ophtha.2014.05.013 · 2014 · External reference
The pathophysiology and treatment of glaucoma: A review
10.1001/jama.2014.3192 · 2014 · External reference
Relating optical coherence tomography to visual fields in glaucoma: Structure–function mapping, limitations and future applications
10.1111/cxo.12844 · 2019 · External reference
Correlating structural and functional damage in glaucoma
10.1097/ijg.0000000000001346 · 2019 · External reference
Optical coherence tomography analysis-based prediction of Humphrey 24-2 visual field thresholds in patients with glaucoma
10.1167/iovs.17-21832 · 2017 · External reference
Deep learning approaches predict glaucomatous visual field damage from OCT optic nerve head en face images and retinal nerve fiber layer thickness maps
10.1016/j.ophtha.2019.09.036 · 2020 · External reference
10.1371/journal.pone.0234902
10.1371/journal.pone.0234902 · External reference
Predicting visual fields from optical coherence tomography via an ensemble of deep representation learners
10.1016/j.ajo.2021.12.020 · 2022 · External reference
Prediction of visual field progression from OCT structural measures in moderate to advanced glaucoma
10.1016/j.ajo.2021.01.023 · 2021 · External reference
Applications of artificial intelligence and deep learning in glaucoma
10.1097/apo.0000000000000596 · 2023 · External reference
Application of artificial intelligence in glaucoma care: An updated review
10.4103/tjo.tjo-d-24-00044 · 2024 · External reference
Prediction of visual field progression in glaucoma: Existing methods and artificial intelligence
10.1007/s10384-023-01009-3 · 2023 · External reference
Corneal asymmetry analysis by Pentacam Scheimpflug tomography for keratoconus diagnosis
10.3928/1081597x-20150122-07 · 2015 · External reference
Cirrus OCT Normative Database Study Group. Interocular symmetry in peripapillary retinal nerve fiber layer thickness measured with the Cirrus HD-OCT in healthy eyes
10.1016/j.ajo.2010.09.015 · 2011 · External reference
Diagnostic precision of retinal nerve fiber layer and macular thickness asymmetry parameters for identifying early primary open-angle glaucoma
10.1016/j.ajo.2013.04.037 · 2013 · External reference
Refined data analysis provides clinical evidence for central nervous system control of chronic glaucomatous neurodegeneration
10.1167/tvst.3.3.1 · 2014 · External reference
Policy-driven, multimodal deep learning for predicting visual fields from the optic disc and OCT imaging
10.1016/j.ophtha.2022.02.017 · 2022 · External reference
Pointwise visual field estimation from optical coherence tomography in glaucoma using deep learning
10.1167/tvst.11.8.22 · 2022 · External reference
Deep learning estimation of 10-2 and 24-2 visual field metrics based on thickness maps from macula optical coherence tomography
10.1016/j.ophtha.2021.04.022 · 2021 · External reference
Segmentation-free OCT-volume-based deep learning model improves pointwise visual field sensitivity estimation
10.1167/tvst.12.6.28 · 2023 · External reference
Explainable deep learning for glaucomatous visual field prediction: Artifact correction enhances transformer models
10.1167/tvst.14.1.22 · 2025 · External reference
Deep learning estimation of 24-2 visual field map from optic nerve head optical coherence tomography angiography
10.1097/ijg.0000000000002626 · 2025 · External reference
Biomechanics-function in glaucoma: Improved visual field predictions from IOP-induced neural strains
10.1016/j.ajo.2024.11.019 · 2025 · External reference
Inter-eye association of visual field defects in glaucoma and its clinical utility
10.1167/tvst.9.12.22 · 2020 · External reference
Intereye concordance in locations of visual field defects in primary open-angle glaucoma: Diagnostic Innovations in Glaucoma Study
10.1016/j.ophtha.2006.02.014 · 2006 · External reference
Association of intereye visual-sensitivity asymmetry with progression of primary open-angle glaucoma
10.1167/iovs.62.9.4 · 2021 · External reference
Asymmetric patterns of visual field defect in primary open-angle and primary angle-closure glaucoma
10.1167/iovs.17-22980 · 2018 · External reference
10.3390/jcm15020461
10.3390/jcm15020461 · External reference
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
10.1038/s41746-020-0255-1 · 2020 · External reference
Multi-scale multi-structure Siamese network (MMSNet) for primary open-angle glaucoma prediction
2022 · External reference
Anatomy-aware Siamese network: Exploiting semantic asymmetry for accurate pelvic fracture detection in X-ray images
2020 · External reference
A review of deep learning-based information fusion techniques for multimodal medical image classification
10.1016/j.compbiomed.2024.108635 · 2024 · External reference
Enhanced brain tumor segmentation in medical imaging using multi-modal multi-scale contextual aggregation and attention fusion
10.1038/s41598-025-21255-4 · 2025 · External reference
10.1007/s10278-025-01798-8
10.1007/s10278-025-01798-8 · External reference
The pathophysiology and treatment of glaucoma: A review
10.1001/jama.2014.3192 · ExternalCitation · doi-reference
10.1007/s10278-025-01798-8
10.1007/s10278-025-01798-8 · ExternalCitation · doi-reference
Prediction of visual field progression in glaucoma: Existing methods and artificial intelligence
10.1007/s10384-023-01009-3 · ExternalCitation · doi-reference
Cirrus OCT Normative Database Study Group. Interocular symmetry in peripapillary retinal nerve fiber layer thickness measured with the Cirrus HD-OCT in healthy eyes
10.1016/j.ajo.2010.09.015 · ExternalCitation · doi-reference
Diagnostic precision of retinal nerve fiber layer and macular thickness asymmetry parameters for identifying early primary open-angle glaucoma
10.1016/j.ajo.2013.04.037 · ExternalCitation · doi-reference
Prediction of visual field progression from OCT structural measures in moderate to advanced glaucoma
10.1016/j.ajo.2021.01.023 · ExternalCitation · doi-reference
Predicting visual fields from optical coherence tomography via an ensemble of deep representation learners
10.1016/j.ajo.2021.12.020 · ExternalCitation · doi-reference
Biomechanics-function in glaucoma: Improved visual field predictions from IOP-induced neural strains
10.1016/j.ajo.2024.11.019 · ExternalCitation · doi-reference
A review of deep learning-based information fusion techniques for multimodal medical image classification
10.1016/j.compbiomed.2024.108635 · ExternalCitation · doi-reference
Intereye concordance in locations of visual field defects in primary open-angle glaucoma: Diagnostic Innovations in Glaucoma Study
10.1016/j.ophtha.2006.02.014 · ExternalCitation · doi-reference
Global prevalence of glaucoma and projections of glaucoma burden through 2040: A systematic review and meta-analysis
10.1016/j.ophtha.2014.05.013 · ExternalCitation · doi-reference
Deep learning approaches predict glaucomatous visual field damage from OCT optic nerve head en face images and retinal nerve fiber layer thickness maps
10.1016/j.ophtha.2019.09.036 · ExternalCitation · doi-reference
Deep learning estimation of 10-2 and 24-2 visual field metrics based on thickness maps from macula optical coherence tomography
10.1016/j.ophtha.2021.04.022 · ExternalCitation · doi-reference
Policy-driven, multimodal deep learning for predicting visual fields from the optic disc and OCT imaging
10.1016/j.ophtha.2022.02.017 · ExternalCitation · doi-reference
Enhanced brain tumor segmentation in medical imaging using multi-modal multi-scale contextual aggregation and attention fusion
10.1038/s41598-025-21255-4 · ExternalCitation · doi-reference
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
10.1038/s41746-020-0255-1 · ExternalCitation · doi-reference
Applications of artificial intelligence and deep learning in glaucoma
10.1097/apo.0000000000000596 · ExternalCitation · doi-reference
Correlating structural and functional damage in glaucoma
10.1097/ijg.0000000000001346 · ExternalCitation · doi-reference
Deep learning estimation of 24-2 visual field map from optic nerve head optical coherence tomography angiography
10.1097/ijg.0000000000002626 · ExternalCitation · doi-reference
Relating optical coherence tomography to visual fields in glaucoma: Structure–function mapping, limitations and future applications
10.1111/cxo.12844 · ExternalCitation · doi-reference
Optical coherence tomography analysis-based prediction of Humphrey 24-2 visual field thresholds in patients with glaucoma
10.1167/iovs.17-21832 · ExternalCitation · doi-reference
Asymmetric patterns of visual field defect in primary open-angle and primary angle-closure glaucoma
10.1167/iovs.17-22980 · ExternalCitation · doi-reference
Association of intereye visual-sensitivity asymmetry with progression of primary open-angle glaucoma
10.1167/iovs.62.9.4 · ExternalCitation · doi-reference
Pointwise visual field estimation from optical coherence tomography in glaucoma using deep learning
10.1167/tvst.11.8.22 · ExternalCitation · doi-reference
Segmentation-free OCT-volume-based deep learning model improves pointwise visual field sensitivity estimation
10.1167/tvst.12.6.28 · ExternalCitation · doi-reference
Explainable deep learning for glaucomatous visual field prediction: Artifact correction enhances transformer models
10.1167/tvst.14.1.22 · ExternalCitation · doi-reference
Refined data analysis provides clinical evidence for central nervous system control of chronic glaucomatous neurodegeneration
10.1167/tvst.3.3.1 · ExternalCitation · doi-reference
Inter-eye association of visual field defects in glaucoma and its clinical utility
10.1167/tvst.9.12.22 · ExternalCitation · doi-reference
10.1371/journal.pone.0234902
10.1371/journal.pone.0234902 · ExternalCitation · doi-reference
10.3390/jcm15020461
10.3390/jcm15020461 · ExternalCitation · doi-reference
Corneal asymmetry analysis by Pentacam Scheimpflug tomography for keratoconus diagnosis
10.3928/1081597x-20150122-07 · ExternalCitation · doi-reference
Application of artificial intelligence in glaucoma care: An updated review
10.4103/tjo.tjo-d-24-00044 · ExternalCitation · doi-reference
