[HTML][HTML] AI-based monitoring of retinal fluid in disease activity and under therapy

U Schmidt-Erfurth, GS Reiter, S Riedl… - Progress in retinal and …, 2022 - Elsevier
Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by
high-resolution three-dimensional optical coherence tomography (OCT), which is used …

RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge

H Bogunović, F Venhuizen, S Klimscha… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Retinal swelling due to the accumulation of fluid is associated with the most vision-
threatening retinal diseases. Optical coherence tomography (OCT) is the current standard of …

[HTML][HTML] Fully automated detection and quantification of macular fluid in OCT using deep learning

T Schlegl, SM Waldstein, H Bogunovic, F Endstraßer… - Ophthalmology, 2018 - Elsevier
Purpose Development and validation of a fully automated method to detect and quantify
macular fluid in conventional OCT images. Design Development of a diagnostic modality …

[HTML][HTML] Automated quantification of pathological fluids in neovascular age-related macular degeneration, and its repeatability using deep learning

I Mantel, A Mosinska, C Bergin… - … Vision Science & …, 2021 - jov.arvojournals.org
Purpose: To develop a reliable algorithm for the automated identification, localization, and
volume measurement of exudative manifestations in neovascular age-related macular …

Automated quantitative assessment of retinal fluid volumes as important biomarkers in neovascular age-related macular degeneration

TDL Keenan, U Chakravarthy, A Loewenstein… - American journal of …, 2021 - Elsevier
Purpose To evaluate retinal fluid volume data extracted from optical coherence tomography
(OCT) scans by artificial intelligence algorithms in the treatment of neovascular age-related …

Analysis of fluid volume and its impact on visual acuity in the fluid study as quantified with deep learning

GS Reiter, C Grechenig, WD Vogl, RH Guymer… - Retina, 2021 - journals.lww.com
Purpose: To investigate quantitative differences in fluid volumes between subretinal fluid
(SRF)–tolerant and SRF-intolerant treat-and-extend regimens for neovascular age-related …

[HTML][HTML] Application of automated quantification of fluid volumes to anti–VEGF therapy of neovascular age-related macular degeneration

U Schmidt-Erfurth, WD Vogl, LM Jampol, H Bogunović - Ophthalmology, 2020 - Elsevier
Purpose Anti–vascular endothelial growth factor (VEGF) treatment of neovascular age-
related macular degeneration (AMD) is a highly effective advance in the retinal armentarium …

Automated quantification of macular fluid in retinal diseases and their response to anti-VEGF therapy

M Michl, M Fabianska, P Seeböck… - British Journal of …, 2022 - bjo.bmj.com
Aim To objectively assess disease activity and treatment response in patients with retinal
vein occlusion (RVO), neovascular age-related macular degeneration (nAMD) and centre …

Model-to-data approach for deep learning in optical coherence tomography intraretinal fluid segmentation

N Mehta, CS Lee, LSM Mendonça, K Raza… - JAMA …, 2020 - jamanetwork.com
Importance Amid an explosion of interest in deep learning in medicine, including within
ophthalmology, concerns regarding data privacy, security, and sharing are of increasing …

[HTML][HTML] Automated segmentation of retinal fluid volumes from structural and angiographic optical coherence tomography using deep learning

Y Guo, TT Hormel, H Xiong, J Wang… - … vision science & …, 2020 - iovs.arvojournals.org
Purpose: We proposed a deep convolutional neural network (CNN), named Retinal Fluid
Segmentation Network (ReF-Net), to segment retinal fluid in diabetic macular edema (DME) …