Zobrazeno 1 - 9
of 9
pro vyhledávání: '"George Adrian Muntean"'
Autor:
George Adrian Muntean, Anca Marginean, Adrian Groza, Ioana Damian, Sara Alexia Roman, Mădălina Claudia Hapca, Anca Mădălina Sere, Roxana Mihaela Mănoiu, Maximilian Vlad Muntean, Simona Delia Nicoară
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1468 (2024)
Patient compliance in chronic illnesses is essential for disease management. This also applies to age-related macular degeneration (AMD), a chronic acquired retinal degeneration that needs constant monitoring and patient cooperation. Therefore, patie
Externí odkaz:
https://doaj.org/article/efa137fabd904806ae721816474e1882
Autor:
Corina Iuliana Suciu, Anca Marginean, Vlad-Ioan Suciu, George Adrian Muntean, Simona Delia Nicoară
Publikováno v:
Diagnostics, Vol 14, Iss 1, p 76 (2023)
(1) Background: Diabetes mellitus (DM) is a growing challenge, both for patients and physicians, in order to control the impact on health and prevent complications. Millions of patients with diabetes require medical attention, which generates problem
Externí odkaz:
https://doaj.org/article/1ede8612844e4fc08f739090bc1b924f
Autor:
George Adrian Muntean, Anca Marginean, Adrian Groza, Ioana Damian, Sara Alexia Roman, Mădălina Claudia Hapca, Maximilian Vlad Muntean, Simona Delia Nicoară
Publikováno v:
Diagnostics, Vol 13, Iss 14, p 2464 (2023)
The era of artificial intelligence (AI) has revolutionized our daily lives and AI has become a powerful force that is gradually transforming the field of medicine. Ophthalmology sits at the forefront of this transformation thanks to the effortless ac
Externí odkaz:
https://doaj.org/article/a09e8e2e7c614db192a13c8282cc7ce9
Autor:
Anca Nicoleta Marginean, Delia Doris Muntean, George Adrian Muntean, Adelina Priscu, Adrian Groza, Radu Razvan Slavescu, Calin Lucian Timbus, Gabriel Zeno Munteanu, Cezar Octavian Morosanu, Maria Margareta Cosnarovici, Camelia-M. Pintea
Publikováno v:
Mathematics, Vol 9, Iss 4, p 434 (2021)
It has recently been shown that the interpretation by partial differential equations (PDEs) of a class of convolutional neural networks (CNNs) supports definition of architectures such as parabolic and hyperbolic networks. These networks have provabl
Externí odkaz:
https://doaj.org/article/f09eeef99dc040e0a523f01c5648c8fc
Publikováno v:
Biomedicines; Volume 11; Issue 5; Pages: 1382
Acquired vitelliform lesions (AVLs) are associated with a large spectrum of retinal diseases, among which is age-related macular degeneration (AMD). The purpose of this study was to characterize AVLs’ evolution in AMD patients using optical coheren
Autor:
George Adrian Muntean, Adrian Groza, Anca Marginean, Radu Razvan Slavescu, Mihnea Gabriel Steiu, Valentin Muntean, Simona Delia Nicoara
Publikováno v:
Journal of Clinical Medicine
Volume 12
Issue 5
Pages: 1825
Volume 12
Issue 5
Pages: 1825
Residency training in medicine lays the foundation for future medical doctors. In real-world settings, training centers face challenges in trying to create balanced residency programs, with cases encountered by residents not always being fairly distr
Autor:
Mădălina Claudia Hapca, George Adrian Muntean, Iulia Andrada Nemeș Drăgan, Ștefan Cristian Vesa, Simona Delia Nicoară
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 15; Pages: 4482
Aim: To evaluate the visual outcome of penetrating ocular injuries with a retained intraocular foreign body (IOFB) managed by pars plana vitrectomy (PPV) and to describe the risk factors associated with poor visual acuity and retinal detachment (RD)
Purpose: Expertise for auditing AI systems in medical domain is only now being accumulated. Conformity assessment procedures will require AI systems: 1) to be transparent, 2) not to rely decisions solely on algorithms, or iii) to include safety assur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1abfe86cac1201066d69168f18bc0c0f
https://doi.org/10.21203/rs.3.rs-201690/v1
https://doi.org/10.21203/rs.3.rs-201690/v1
Autor:
Simona Delia Nicoară, Anca Marginean, George Adrian Muntean, Adrian Groza, Radu Razvan Slavescu, Ioan Alfred Letia
Publikováno v:
ICCP
Convolutional neural networks have shown impressive performance in the medical image domain, but medical experts are somewhat skeptical in their predictions since the features are not directly graspable. We are looking into one of the technical chall