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Gregor Reiter

Medical University of Vienna

Austria

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ORCID

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Research Interests

Medical Imaging

100%

Neurology

50%

Retinal Disease

100%

Retinal Imaging

100%

Ophthalmology

100%

Optical Coherence Tomography

60%

Retinal Detachment

60%

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Articles29

Consensus on age-related macular degeneration course curricula for general ophthalmologists and non-ophthalmologist clinical staff: A Delphi study.

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Year:

2025

Fluid/function correlation using AI-based quantification versus central subfield thickness in treatment-naïve and pre-treated patients with neovascular AMD in a real-world setting.

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Year:

2025

Impact of AI-quantified fluid dynamics on visual outcomes over 5 years in patients with treatment-naïve nAMD from the FRB! registry.

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Year:

2025

Dynamics of the EZ/RPE Loss Ratio on OCT Over Time During Geographic Atrophy Progression and Treatment With Pegcetacoplan.

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Year:

2025

Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population.

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Year:

2025

Internal 40-gauge microneedle drainage for the management of subretinal fluid in rhegmatogenous retinal detachment surgery.

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Year:

2025

Nylon Suture Snare for Intraocular Foreign Body Removal: A case series.

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Year:

2025

Benchmarking test-retest variability in microperimetry for intermediate age-related macular degeneration using MP-3 and MAIA.

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Year:

2025

Imaging of Geographic Atrophy: A Practical Approach.

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Year:

2025

Quantifications of Outer Retinal Bands in Geographic Atrophy by Comparing Superior Axial Resolution and Conventional OCT.

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Year:

2025

Quantitative comparison of automated OCT and conventional FAF-based geographic atrophy measurements in the phase 3 OAKS/DERBY trials.

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Year:

2024

ADVANCES IN PHOTORECEPTOR AND RETINAL PIGMENT EPITHELIUM QUANTIFICATIONS IN INTERMEDIATE AGE-RELATED MACULAR DEGENERATION: High-Res Versus Standard SPECTRALIS Optical Coherence Tomography.

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Year:

2024

An Analysis of Ocular Biometrics: A Comprehensive Retrospective Study in a Large Cohort of Pediatric Cataract Patients

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Year:

2024

Disease activity and therapeutic response to pegcetacoplan for geographic atrophy identified by deep learning-based analysis of OCT.

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Year:

2024

Linking disease activity with optical coherence tomography angiography in neovascular age related macular degeneration using artificial intelligence.

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Year:

2024

Sequence of Morphological Changes Preceding Atrophy in Intermediate AMD Using Deep Learning.

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Year:

2024

Advancing the visibility of outer retinal integrity in neovascular age-related macular degeneration with high-resolution OCT.

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Year:

2024

Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients With Intermediate AMD.

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Year:

2024

Dynamics and patterns of recurrence in neovascular AMD during real-world management using automated fluid monitoring.

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Year:

2024

AI-based support for optical coherence tomography in age-related macular degeneration.

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Year:

2024

OCTA biomarker search in patients with nAMD: Influence of retinal fluid on time-dependent biomarker response

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Year:

2023

Monitoring der Progression von geografischer Atrophie in der optischen Kohärenztomographie

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Year:

2023

Progression Dynamics of Early versus Later Stage Atrophic Lesions in Nonneovascular Age-Related Macular Degeneration Using Quantitative OCT Biomarker Segmentation

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Year:

2023

Point-to-point associations of drusen and hyperreflective foci volumes with retinal sensitivity in non-exudative age-related macular degeneration

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Year:

2023

Deep survival modeling of longitudinal retinal OCT volumes for predicting the onset of atrophy in patients with intermediate AMD.

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Year:

2023

Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatment.

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Year:

2023

Correlation of vascular and fluid-related parameters in neovascular age-related macular degeneration using deep learning.

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Year:

2022

Predicting Topographic Disease Progression and Treatment Response of Pegcetacoplan in Geographic Atrophy Quantified by Deep Learning.

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Year:

2022

Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence.

Article Link

Year:

2022

Collaborators5

Markus Schranz

Medical University of Vienna

AUSTRIA

Enrico Borrelli

ITALY

Hrvoje Bogunović

Medical University of Vienna

AUSTRIA

Ursula Schmidt-Erfurth

Adjunct Professor

Northwestern University

UNITED STATES

Reinhard Told

Medical University of Vienna

AUSTRIA

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