Koenraad Arndt Vermeer

JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge

Yeganeh Madadi, Hina Raja, Koenraad Arndt Vermeer, Hans G. Lemij et autres

A major contributor to permanent vision loss is glaucoma. Early diagnosis is crucial for preventing vision loss due to glaucoma, making glaucoma screening essential. A more affordable method of glaucoma screening can be achieved by applying artificial intelligence to evaluate color fundus …

us, nl, es, il, br, fr, cn, in (code pays fourni par la source)

Joint Modeling of Longitudinal Visual Field Changes and Time to Detect Progression in Glaucoma Patients: A Secondary Data Analysis.

Samaneh Sabouri, Elham Haem, Masoumeh Beygom Masoumpour, Hans G. Lemij et autres

Background: Glaucoma causes irreversible damage to the optic nerve and can lead to blindness if it is not treated appropriately. Evaluation of longitudinal changes in the visual field (VF) and detecting progression in a timely manner are critical for effective disease management. …

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The Cost-Effectiveness of an Artificial Intelligence-Based Population-Wide Screening Program for Primary Open-Angle Glaucoma in The Netherlands

Bart-Jan Boverhof, Isaac Corro Ramos, Koenraad Arndt Vermeer, Victor A. de Vries et autres

OBJECTIVES: Population-wide screening for primary open-angle glaucoma (glaucoma) is typically not cost-effective because of low prevalence and high costs. We evaluated the cost-effectiveness of repeated artificial intelligence (AI)-based glaucoma screening using fundus photos in the Dutch population aged 50 to 75, compared …

nl (code pays fourni par la source)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge

Coen de Vente, Koenraad Arndt Vermeer, Nicolas Jaccard, He Wang et autres

The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) in a cost-effective manner, making glaucoma screening more accessible. While AI models for glaucoma screening from CFPs have shown …

nl, cn, de, es, au, gb, in, jp, ca, at, kr, us (code pays fourni par la source)

An Artificial Intelligence Enabled System for Retinal Nerve Fiber Layer Thickness Damage Severity Staging

Siamak Yousefi, Xiaoqin Huang, Asma Poursoroush, Julek Majoor et autres

Purpose To develop an objective glaucoma damage severity classification system based on optical coherence tomography (OCT)-derived retinal nerve fiber layer (RNFL) thickness measurements. Design Algorithm development for RNFL damage severity classification based on multicenter OCT data. Subjects and Participants A total of …

us, nl, it (code pays fourni par la source)

Retinal damage extends beyond the border of the detached retina in fovea‐on retinal detachment

Heijan Ng, Koenraad Arndt Vermeer, Ellen C. La Heij, Caroline P. Kuip et autres

PURPOSE: The aim of this study was to investigate the preoperative and postoperative change in retinal sensitivity in relation to the distance to the retinal detachment (RD) in patients with fovea-on RD. METHODS: We prospectively evaluated 13 patients with fovea-on RD and …

nl (code pays fourni par la source)

Treatment of aniseikonia in patients after macula‐off retinal detachment surgery: A pilot study

Heijan Ng, Koenraad Arndt Vermeer, Alexander Kok, Ellen C. La Heij et autres

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Frequency of Visual Fields Needed to Detect Glaucoma Progression: A Computer Simulation Using Linear Mixed Effects Model

Samaneh Sabouri, Elham Haem, Masoumeh Beygom Masoumpour, Koenraad Arndt Vermeer et autres

PRÉCIS: Irregular visual field test frequency at relatively short intervals initially and longer intervals later on in the disease provided acceptable results in detecting glaucoma progression. PURPOSE: It is challenging to maintain a balance between the frequency of visual field testing and …

ir, nl, us (code pays fourni par la source)

Characteristics of a Large, Labeled Data Set for the Training of Artificial Intelligence for Glaucoma Screening with Fundus Photographs

Hans G. Lemij, Coen de Vente, Clara Isabel Sánchez, Koenraad Arndt Vermeer

Purpose: Significant visual impairment due to glaucoma is largely caused by the disease being detected too late. Objective: To build a labeled data set for training artificial intelligence (AI) algorithms for glaucoma screening by fundus photography, to assess the accuracy of the …

nl (code pays fourni par la source)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge

Coen de Vente, Koenraad Arndt Vermeer, Nicolas Jaccard, He Wang et autres

The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) in a cost-effective manner, making glaucoma screening more accessible. While AI models for glaucoma screening from CFPs have shown …

Magnetic resonance imaging reveals possible cause of diplopia after Baerveldt glaucoma implantation

Esma Islamaj, Luc van Vught, Caroline P. Jordaan‐Kuip, Koenraad Arndt Vermeer et autres

PURPOSE: To assess if ocular motility impairment, and the ensuing diplopia, after Baerveldt Glaucoma device (BGI) implantation, is related to the presence of a large fluid reservoir (bleb), using Magnetic Resonance Imaging (MRI). METHODS: In a masked observational study (CCMO-registry number: NL65633.058.18), …

nl (code pays fourni par la source)

DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with guttae

Juan P. Vigueras-Guillén, Jeroen van Rooij, Bart T.H. van Dooren, Hans G. Lemij et autres

Corneal guttae, which are the abnormal growth of extracellular matrix in the corneal endothelium, are observed in specular images as black droplets that occlude the endothelial cells. To estimate the corneal parameters (endothelial cell density [ECD], coefficient of variation [CV], and hexagonality …

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