Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Bianca S. Gerendas"'
Autor:
Friedemann Paul, Peter A. Calabresi, Frederik Barkhof, Ari J. Green, Randy Kardon, Jaume Sastre‐Garriga, Sven Schippling, Patrick Vermersch, Shiv Saidha, Bianca S. Gerendas, Ursula Schmidt‐Erfurth, Catherine Agoropoulou, Ying Zhang, Gustavo Seifer, Axel Petzold
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 8, Iss 12, Pp 2235-2251 (2021)
Abstract Objective To evaluate changes over 3 years in the thickness of inner retinal layers including the peripapillary retinal nerve fiber layer (pRNFL), and combined macular ganglion cell and inner plexiform layers (mGCIPL), in individuals with re
Externí odkaz:
https://doaj.org/article/6cc487a878c54b178e7350a7d1571272
Autor:
Felix Goldbach, Georgios Mylonas, Martin Riegelnegg, Jonas Brugger, Ursula Schmidt-Erfurth, Bianca S Gerendas
Publikováno v:
PLoS ONE, Vol 17, Iss 5, p e0266423 (2022)
PurposeEarly detection of microvascular changes in the retina may be important for the risk assessment of cardiovascular health. Therefore, the purpose of this study was to investigate imaging biomarkers in fluorescein angiography (FA) as potential p
Externí odkaz:
https://doaj.org/article/d00a96d16bd64d8ba40e56455b1d77a6
Autor:
Giovanni Staurenghi, Justus G. Garweg, Bianca S. Gerendas, Wayne Macfadden, Boris Gekkiev, Philippe Margaron, Cornelia Dunger-Baldauf, Petr Kolar
Publikováno v:
BMC Ophthalmology, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background To evaluate the efficacy and safety of two individualized ranibizumab retreatment schemes in neovascular age-related macular degeneration. Methods Patients (N = 671) were randomized (1:1) to receive three initial monthly ranibizum
Externí odkaz:
https://doaj.org/article/8af5d6c0b3f64bc9b8dd8411440f3e58
Autor:
Bianca S, Gerendas, Amir, Sadeghipour, Martin, Michl, Felix, Goldbach, Georgios, Mylonas, Anastasiia, Gruber, Thomas, Alten, Oliver, Leingang, Stefan, Sacu, Hrvoje, Bogunovic, Ursula, Schmidt-Erfurth
Publikováno v:
Retina. 42:1673-1682
To apply an automated deep learning automated fluid algorithm on data from real-world management of patients with neovascular age-related macular degeneration for quantification of intraretinal/subretinal fluid volumes in optical coherence tomography
Autor:
Simon Schurer-Waldheim, Philipp Seebock, Hrvoje Bogunovic, Bianca S. Gerendas, Ursula Schmidt-Erfurth
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:3927-3937
The fovea centralis is an essential landmark in the retina where the photoreceptor layer is entirely composed of cones responsible for sharp, central vision. The localization of this anatomical landmark in optical coherence tomography (OCT) volumes i
Autor:
David Holomcik, Philipp Seeböck, Bianca S. Gerendas, Georgios Mylonas, Bilal Haj Najeeb, Ursula Schmidt-Erfurth, Gabor Deak
Publikováno v:
Eye. 37:1439-1444
Background/objectives We aim to develop an objective fully automated Artificial intelligence (AI) algorithm for MNV lesion size and leakage area segmentation on fluorescein angiography (FA) in patients with neovascular age-related macular degeneratio
Autor:
Georgios Mylonas, Bilal Haj Najeeb, Felix Goldbach, Gabor G. Deak, Martin Michl, Jonas Brugger, Ursula Schmidt-Erfurth, Bianca S. Gerendas
Publikováno v:
Retina.
Autor:
Sebastian M. Waldstein, Alessio Montuoro, Dominika Podkowinski, Ana-Maria Philip, Bianca S. Gerendas, Hrvoje Bogunovic, Ursula Schmidt-Erfurth
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Vitreomacular adhesion (VMA) represents a prognostic biomarker in the management of exudative macular disease using anti-vascular endothelial growth factor (VEGF) agents. However, manual evaluation of VMA in 3D optical coherence tomography (
Externí odkaz:
https://doaj.org/article/a30f128685a44e5e8d2e91b490234b53
Autor:
Ursula Schmidt-Erfurth, Zufar Mulyukov, Bianca S. Gerendas, Gregor S. Reiter, Daniel Lorand, Georges Weissgerber, Hrvoje Bogunović
Publikováno v:
Eye. 37:1160-1169
Objectives To assess the therapeutic response to brolucizumab and aflibercept by deep learning/OCT-based analysis of macular fluid volumes in neovascular age-related macular degeneration. Methods In this post-hoc analysis of two phase III, randomised
Autor:
Martin Michl, Martina Neschi, Alexandra Kaider, Katja Hatz, Gabor Deak, Bianca S. Gerendas, Ursula Schmidt-Erfurth
Objectives: To assess the agreement in evaluating optical coherence tomography (OCT) variables in the leading macular diseases such as neovascular age-related macular degeneration (nAMD), diabetic macular edema (DME) and retinal vein occlusion (RVO)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::553a6b38a9cf610794b39c9a4596a077
https://doi.org/10.21203/rs.3.rs-2165142/v1
https://doi.org/10.21203/rs.3.rs-2165142/v1