Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sara Marin-Martinez"'
Autor:
Silvia Feu-Basilio, Peter M. Maloca, Pascal Hasler, Hendrik P. N. Scholl, Sara Marin-Martinez, Josep Rosinés-Fonoll, Xavier Suarez-Valero, Michael Reich, Clemens Lange, Catherine Egan, Sandrine Zweifel, Adnan Tufail, Richard F. Spaide, Javier Zarranz-Ventura
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Optical coherence tomography angiography (OCTA) enables three-dimensional reconstruction of the functional blood vessels in the retina. Therefore, it enables the quantification of 3D retinal vessel parameters such as surface area and vessel
Externí odkaz:
https://doaj.org/article/888272a4304042d8ac17454051a0fc17
Autor:
Peter M. Maloca, Silvia Feu-Basilio, Julia Schottenhamml, Philippe Valmaggia, Hendrik P. N. Scholl, Josep Rosinés-Fonoll, Sara Marin-Martinez, Nadja Inglin, Michael Reich, Clemens Lange, Catherine Egan, Sandrine Zweifel, Adnan Tufail, Richard F. Spaide, Javier Zarranz-Ventura
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Optical coherence tomography angiography (OCTA) enables three-dimensional, high-resolution, depth-resolved flow to be distinguished from non-vessel tissue signals in the retina. Thus, it enables the quantification of the 3D surface area of t
Externí odkaz:
https://doaj.org/article/f8c1182a28ed43f29b7b4944c81bca61
Autor:
Francisco, Zamorano-Martín, Sara, Marín-Martínez, José-María, Sánchez-González, Facundo, Urbinati, Carlos, Rocha-de-Lossada, María, García-Lorente, Jessica, Mata, Carmen, Alba-Linero, Santiago, Ortiz-Pérez, Juan Carlos, Sánchez-España
Publikováno v:
In Contact Lens and Anterior Eye June 2024 47(3)
Autor:
Laura Carrera-Escalé, MSc, Anass Benali, MSc, Ann-Christin Rathert, MSc, Ruben Martín-Pinardel, MSc, Carolina Bernal-Morales, MD, PhD, Anibal Alé-Chilet, MD, Marina Barraso, MD, PhD, Sara Marín-Martinez, MD, Silvia Feu-Basilio, MD, Josep Rosinés-Fonoll, MD, Teresa Hernandez, OD, Irene Vilá, OD, Rafael Castro-Dominguez, OD, Cristian Oliva, OD, Irene Vinagre, MD, PhD, Emilio Ortega, MD, PhD, Marga Gimenez, MD, PhD, Alfredo Vellido, PhD, Enrique Romero, PhD, Javier Zarranz-Ventura, MD, PhD
Publikováno v:
Ophthalmology Science, Vol 3, Iss 2, Pp 100259- (2023)
Purpose: To evaluate the diagnostic accuracy of machine learning (ML) techniques applied to radiomic features extracted from OCT and OCT angiography (OCTA) images for diabetes mellitus (DM), diabetic retinopathy (DR), and referable DR (R-DR) diagnosi
Externí odkaz:
https://doaj.org/article/1262e191a9d546dca5e2b9b3bf6d903f