Zobrazeno 1 - 10
of 92
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:
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:
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:
Dominika Podkowinski, Ehsan Sharian Varnousfaderani, Christian Simader, Hrvoje Bogunovic, Ana-Maria Philip, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Sebastian M. Waldstein
Publikováno v:
Journal of Ophthalmology, Vol 2017 (2017)
Background and Objective. To determine optimal image averaging settings for Spectralis optical coherence tomography (OCT) in patients with and without cataract. Study Design/Material and Methods. In a prospective study, the eyes were imaged before an
Externí odkaz:
https://doaj.org/article/a9524b71fd124887b9380bdd73eb5ef9
Autor:
Jing Wu, Sebastian M. Waldstein, Alessio Montuoro, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth
Publikováno v:
International Journal of Biomedical Imaging, Vol 2016 (2016)
In macular spectral domain optical coherence tomography (SD-OCT) volumes, detection of the foveal center is required for accurate and reproducible follow-up studies, structure function correlation, and measurement grid positioning. However, disease c
Externí odkaz:
https://doaj.org/article/699368d6b5414c1f8413fa4926bc8675
Autor:
Jing Wu, Ana-Maria Philip, Dominika Podkowinski, Bianca S. Gerendas, Georg Langs, Christian Simader, Sebastian M. Waldstein, Ursula M. Schmidt-Erfurth
Publikováno v:
Journal of Ophthalmology, Vol 2016 (2016)
Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availabi
Externí odkaz:
https://doaj.org/article/382e56dc360e4962936fefecb5a6799b
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45e6d3476cb3056610f9ad542abc568a
https://doi.org/10.1097/iae.0000000000003557
https://doi.org/10.1097/iae.0000000000003557
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::def945f8e67c51237dd1214fb8f68ba5
https://doi.org/10.1109/jbhi.2022.3166068
https://doi.org/10.1109/jbhi.2022.3166068
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1653bfc9f321335903c34be17e62e913
https://doi.org/10.1038/s41433-022-02156-6
https://doi.org/10.1038/s41433-022-02156-6
Autor:
Georgios Mylonas, Bilal Haj Najeeb, Felix Goldbach, Gabor G. Deak, Martin Michl, Jonas Brugger, Ursula Schmidt-Erfurth, Bianca S. Gerendas
Publikováno v:
Retina.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbea919aeb43fb760d2ec006bc4f971d
https://doi.org/10.1097/iae.0000000000003804
https://doi.org/10.1097/iae.0000000000003804