Zobrazeno 1 - 10
of 352
pro vyhledávání: '"Delia Cabrera"'
Autor:
Anastasiia Rozhyna, Gábor Márk Somfai, Manfredo Atzori, Delia Cabrera DeBuc, Amr Saad, Jay Zoellin, Henning Müller
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1668 (2024)
Artificial intelligence has transformed medical diagnostic capabilities, particularly through medical image analysis. AI algorithms perform well in detecting abnormalities with a strong performance, enabling computer-aided diagnosis by analyzing the
Externí odkaz:
https://doaj.org/article/f2f8112fcc6646c7bd1bba525b15f3b0
Autor:
Miklós D. Resch, Aniko Balogh, Tilmann Kurth, Zoltán Z. Nagy, Delia Cabrera DeBuc, András Papp
Publikováno v:
BMC Ophthalmology, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background The study aimed to evaluate the changes in retinal vascular density in exudative age-related macular degeneration (AMD) after long-term anti-VEGF treatment using optical coherence tomography angiography (OCT-A), and to compare the
Externí odkaz:
https://doaj.org/article/35621a2df0944a67addb7a254e803e78
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0292776 (2023)
[This corrects the article DOI: 10.1371/journal.pone.0271156.].
Externí odkaz:
https://doaj.org/article/10090c3665af4c6e863957236827809c
Publikováno v:
International Journal of Ophthalmology, Vol 14, Iss 1, Pp 57-63 (2021)
AIM: To evaluate a high-resolution functional imaging device that yields quantitative data regarding macular blood flow and capillary network features in eyes with diabetic retinopathy (DR). METHODS: Prospective, cross-sectional comparative case-seri
Externí odkaz:
https://doaj.org/article/0373c5205db1480f9c5eb272331acac6
Autor:
Zoellin, Jay, Merk, Colin, Buob, Mischa, Saad, Amr, Giesser, Samuel, Spitznagel, Tahm, Turgut, Ferhat, Santos, Rui, Zhou, Yukun, Wagner, Sigfried, Keane, Pearse A., Tham, Yih Chung, DeBuc, Delia Cabrera, Becker, Matthias D., Somfai, Gabor M.
Integrating deep learning into medical imaging is poised to greatly advance diagnostic methods but it faces challenges with generalizability. Foundation models, based on self-supervised learning, address these issues and improve data efficiency. Natu
Externí odkaz:
http://arxiv.org/abs/2409.17332
Autor:
Irén Szalai, Anita Csorba, Fanni Pálya, Tian Jing, Endre Horváth, Edit Bosnyák, István Györe, Zoltán Zsolt Nagy, Delia Cabrera DeBuc, Miklós Tóth, Gábor Márk Somfai
Publikováno v:
PLoS ONE, Vol 17, Iss 5, p e0268770 (2022)
PurposeThere is abundant evidence on the benefits of physical activity on cardiovascular health. However, there are only few data on the acute effects of physical exercise on the retina and choroid. Our aim was the in vivo examination of chorioretina
Externí odkaz:
https://doaj.org/article/62281bfda8964a768eda76ad9818d544
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0271156 (2022)
PurposeFor the training of machine learning (ML) algorithms, correctly labeled ground truth data are inevitable. In this pilot study, we assessed the performance of graders with different backgrounds in the labeling of retinal fundus image quality.Me
Externí odkaz:
https://doaj.org/article/b6f58d27d3814e87ad89de38a6550395
Autor:
Delia Cabrera DeBuc, William J. Feuer, Patrice J. Persad, Gabor Mark Somfai, Maja Kostic, Susel Oropesa, Carlos Mendoza Santiesteban
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Evidence is accumulating that cognitive function, and visual impairment may be related. In this pilot study, we investigated whether multifractal dimension and lacunarity analyses performed in sectoral regions of the retina may reveal changes in pati
Externí odkaz:
https://doaj.org/article/b2cbd32d5867497ca5d7ef0258fd0a5a
Autor:
Jessica Alber, Edmund Arthur, Stuart Sinoff, Delia Cabrera DeBuc, Emily Y. Chew, Lori Douquette, Wendy V. Hatch, Chris Hudson, Amir Kashani, Cecelia S. Lee, Stephen Montaquila, Sima Mozdbar, Leonardo Provetti Cunha, Faryan Tayyari, Gregory Van Stavern, Peter J. Snyder
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 12, Iss 1, Pp n/a-n/a (2020)
Abstract Introduction We propose a minimum data set framework for the acquisition and analysis of retinal images for the development of retinal Alzheimer's disease (AD) biomarkers. Our goal is to describe methodology that will increase concordance ac
Externí odkaz:
https://doaj.org/article/87a4f39b8eb8428199d16180a486e5fb
Publikováno v:
International Journal of Ophthalmology, Vol 9, Iss 1, Pp 93-98 (2016)
AIM: To compare thickness and reflectivity spectral domain optical coherence tomography (SD-OCT) findings in patients with idiopathic epiretinal membranes (ERMs), before and after ERM peeling surgery, with normal controls. METHODS: A retrospective st
Externí odkaz:
https://doaj.org/article/1b1bc48f97d5440db07aa88743ae1fd1