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Profil bibliographique

Philipp L. Müller

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

109Publications signalées
2180Citations signalées
7Affiliations récentes

Les institutions déclarées

Les domaines associés

Retinal Diseases and TreatmentsRetinal Development and DisordersOphthalmology and Visual Impairment StudiesRetinal Imaging and AnalysisGlaucoma and retinal disorders

Les publications récentes

Accès ouvert 2026 conference-paper OpenAlex

SPARTACUS: Prospektive, multizentrische Studie zur Beschreibung der Merkmale von Faricimab-Patienten mit DMÖ/nAMD, die mit Bevacizumab vorbehandelt wurden, und der Wirksamkeit von Faricimab in einer deutschen Real-World-Kohorte

Svenja Deuchler, Albert J. Augustin, Philipp L. Müller, Friederike Schaub et autres

Zielsetzung: Die intravitreale antiangiogene Therapie stellt den Grundpfeiler im klinischen Management der neovaskulären altersabhängigen Makuladegeneration (nAMD) und des diabetischen Makulaödems (DMÖ) dar. In vielen Regionen Deutschlands wird bei Patienten mit nAMD oder DMÖ [zum vollständigen Text gelangen Sie über die oben angegebene …

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0 citations German Medical Science (German Research Foundation)
2026 article OpenAlex

Determinants of vision-related quality of life in recessive Stargardt disease

Philipp L. Müller, Tim Treis, Robert P Finger, Flora Wicharz et autres

BACKGROUND/AIMS: To evaluate associations of sociodemographic and functional parameters with vision-related quality of life (VRQoL) in recessive Stargardt disease (STGD1). METHODS: A total of 71 participants (42 females, 29 males; mean age 44±19 years) with genetically confirmed STGD1 were included in this …

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0 citations British Journal of Ophthalmology
Accès ouvert 2026 article OpenAlex

Infographic: SPECTRUM: study design of the global real-world study of aflibercept 8 mg in the treatment of neovascular age-related macular degeneration and diabetic macular edema

Clare Bailey, Clemens AK Lange, Marion Rohit Munk, Paolo Lanzetta et autres

The authors acknowledge Anshul Tank, PharmD, an employee of Bayer, for medical writing support for the development of this infographic, in accordance with Good Publication Practice guidelines ( https://www.acpjournals.org/doi/10.7326/M22-1460 ). The authors would also like to acknowledge the principal investigators of the …

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0 citations Eye
Accès ouvert 2024 article OpenAlex

Multicenter Normative Data for Mesopic Microperimetry

Maximilian Pfau, Jasleen K. Jolly, Jason Charng, Leon von der Emde et autres

Purpose: The purpose of this study was to provide a large, multi-center normative dataset for the Macular Integrity Assessment (MAIA) microperimeter and compare the goodness-of-fit and prediction interval calibration-error for a panel of hill-of-vision models. Methods: Microperimetry examinations of healthy eyes from …

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16 citations Investigative Ophthalmology & Visual Science
Accès ouvert 2024 preprint OpenAlex

Multicenter normative data for mesopic microperimetry

Maximilian Pfau, Jasleen K. Jolly, Jason Charng, Leon von der Emde et autres

ABSTRACT Purpose To provide a large, multi-center normative dataset for the Macular Integrity Assessment (MAIA) microperimeter and compare the goodness-of-fit and prediction interval calibration-error for a panel of hill-of-vision models. Methods Microperimetry examinations from five independent study groups and one previously available …

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0 citations medRxiv
Accès ouvert 2023 article OpenAlex

Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation

Peter M. Maloca, Maximilian Pfau, Lucas Janeschitz‐Kriegl, Michael Reich et autres

Supervised deep learning (DL) algorithms are highly dependent on training data for which human graders are assigned, for example, for optical coherence tomography (OCT) image annotation. Despite the tremendous success of DL, due to human judgment, these ground truth labels can be …

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6 citations Journal of Biophotonics
2023 article OpenAlex

Progression, reliability, predicting parameters and sample size calculations for quantitative fundus autofluorescence measures inABCA4-related retinopathy

Philipp L. Müller, Tim Treis, Adnan Tufail, Frank G. Holz

Background/aims To investigate the progression of quantitative autofluorescence (qAF) measures and the potential as clinical trial endpoint inABCA4-related retinopathy. Methods In this longitudinal monocentre study, 64 patients withABCA4-related retinopathy (age (mean±SD), 34.84±16.36 years) underwent serial retinal imaging, including optical coherence tomography (OCT) …

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1 citation British Journal of Ophthalmology
Accès ouvert 2023 article OpenAlex

Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence–Based Vascular Severity Score

Sonja Eilts, Johanna M. Pfeil, Broder Poschkamp, Tim U. Krohne et autres

Importance: One of the biggest challenges when using anti-vascular endothelial growth factor (VEGF) agents to treat retinopathy of prematurity (ROP) is the need to perform long-term follow-up examinations to identify eyes at risk of ROP reactivation requiring retreatment. Objective: To evaluate whether …

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31 citations JAMA Network Open
Accès ouvert 2022 article OpenAlex

A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography

Roy Schwartz, Hagar Khalid, Sandra Liakopoulos, Yanling Ouyang et autres

Purpose: The purpose of this study was to develop and validate a deep learning (DL) framework for the detection and quantification of reticular pseudodrusen (RPD) and drusen on optical coherence tomography (OCT) scans. Methods: A DL framework was developed consisting of a …

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44 citations Translational Vision Science & Technology
Accès ouvert 2022 article OpenAlex

Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration: Results From the UK Biobank

Philipp L. Müller, Yuka Kihara, Abraham Olvera‐Barrios, Alasdair Warwick et autres

Purpose: To investigate macular curvature, including the evaluation of potential associations and the dome-shaped macular configuration, given the increasing myopia prevalence and expected associated macular malformations. Methods: The study included a total of 65,440 subjects with a mean age (± SD) of …

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21 citations Investigative Ophthalmology & Visual Science
Accès ouvert 2022 article OpenAlex

Cynomolgus monkey’s choroid reference database derived from hybrid deep learning optical coherence tomography segmentation

Peter M. Maloca, Christian Freichel, Christof Hänsli, Philippe Valmaggia et autres

Abstract Cynomolgus monkeys exhibit human-like features, such as a fovea, so they are often used in non-clinical research. Nevertheless, little is known about the natural variation of the choroidal thickness in relation to origin and sex. A combination of deep learning and …

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8 citations Scientific Reports
Accès ouvert 2022 article OpenAlex

Foveal Curvature and Its Associations in UK Biobank Participants

Abraham Olvera‐Barrios, Yuka Kihara, Yue Wu, Alasdair Warwick et autres

Purpose: To examine whether sociodemographic, and ocular factors relate to optical coherence tomography (OCT)-derived foveal curvature (FC) in healthy individuals. Methods: We developed a deep learning model to quantify OCT-derived FC from 63,939 participants (age range, 39-70 years). Associations of FC with …

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7 citations Investigative Ophthalmology & Visual Science

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