Unified methodology for evaluating vessel tree tortuosity metrics in eye fundus images. - Luisa Sánchez 001; Jorge Novo; Alba Fernández; José María Barja (CBMS, 2013)

Automatic identification of vessel crossovers in retinal images. - Luisa Sánchez Brea; Noelia Barreira; Manuel G. Penedo; Brais Cancela (ICMV, 2014)

Computer Aided Diagnosis System for Retinal Analysis: Automatic Assessment of the Vascular Tortuosity. - Luisa Sánchez Brea; Noelia Barreira; Manuel G. Penedo; Gabriel Coll de Tuero (InMed, 2014)

Automatic Selection of Video Frames for Hyperemia Grading. - María Luisa Sánchez Brea; Noelia Barreira-Rodríguez; Antonio Mosquera González; Carlos García-Resúa; Eva Yebra-Pimentel (EUROCAST, 2015)

A Novel Framework for Hyperemia Grading Based on Artificial Neural Networks. - Luisa Sánchez Brea; Noelia Barreira; Hugo Pena-Verdeal; Eva Yebra-Pimentel (IWANN (1), 2015)

On the analysis of feature selection techniques in a conjunctival hyperemia grading framework. - María Luisa Sánchez Brea; Noelia Barreira-Rodríguez; Noelia Sánchez-Maroño; Antonio Mosquera González; Carlos García-Resúa; Eva Yebra-Pimentel (ESANN, 2016)

Comparing Machine Learning Techniques in a Hyperemia Grading Framework. - María Luisa Sánchez Brea; Noelia Barreira; Antonio Mosquera González; Hugo Pena-Verdeal; Eva Yebra-Pimentel (ICAART (2), 2016)

On the analysis of local and global features for hyperemia grading. - Luisa Sánchez Brea; Noelia Barreira; Noelia Sánchez-Maroño; Antonio Mosquera González; Hugo Pena-Verdeal; Eva Yebra-Pimentel (ICMV, 2016)

On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings. - María Luisa Sánchez Brea; Noelia Barreira-Rodríguez; Noelia Sánchez-Maroño; Antonio Mosquera González; Carlos García-Resúa; María Jesús Giráldez Fernández (Artif. Intell. Medicine, 2016)

Defining the Optimal Region of Interest for Hyperemia Grading in the Bulbar Conjunctiva. - María Luisa Sánchez Brea; Noelia Barreira-Rodríguez; Antonio Mosquera González; Katharine Evans; Hugo Pena-Verdeal (Comput. Math. Methods Medicine, 2016)

Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva. - Luisa Sánchez Brea; Noelia Barreira-Rodríguez; Antonio Mosquera González; Katharine Evans (IJCNN, 2017)

Precise segmentation of the bulbar conjunctiva for hyperaemia images. - Luisa Sánchez Brea; Noelia Barreira-Rodríguez; Antonio Mosquera González; Hugo Pena-Verdeal; Eva Yebra-Pimentel (Pattern Anal. Appl., 2018)

Deep learning-based retinal vessel segmentation with cross-modal evaluation. - Luisa Sánchez Brea; Danilo Andrade De Jesus; Stefan Klein 001; Theo van Walsum (MIDL, 2020)

Motion correction in retinal optical coherence tomography imaging using deep learning registration. - Konstantinos Ntatsis; Luisa Sánchez Brea; Danilo Andrade De Jesus; João Barbosa Breda; Theo van Walsum; Edwin Bennink; Stefan Klein 001 (Image Processing, 2022)

Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review. - Rita Marques; Danilo Andrade De Jesus; João Barbosa Breda; Jan Van Eijgen; Ingeborg Stalmans; Theo van Walsum; Stefan Klein 001; Pedro G. Vaz; Luisa Sánchez Brea (Comput. Methods Programs Biomed., 2022)

Comparison of different retinal regions-of-interest imaged by OCT for the classification of intermediate AMD. - Danilo Andrade De Jesus; Eric F. Thee; Tim Doekemeijer; Daniel T. Luttikhuizen; Caroline Klaver; Stefan Klein 001; Theo van Walsum; Hans Vingerling; Luisa Sánchez 001 (CoRR, 2023)

Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging. - Pedro G. Vaz; Luisa Sánchez Brea; Vania Bastos Silva; Jan Van Eijgen; Ingeborg Stalmans; João Cardoso; Theo van Walsum; Stefan Klein 001; João Barbosa Breda; Danilo Andrade De Jesus (Comput. Medical Imaging Graph., 2023)

Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods. - Quang Van Do; Ha Thu Hoang; Nga Van Vu; Danilo Andrade De Jesus; Luisa Sánchez Brea; Hiep Xuan Nguyen; Anh Thi Lan Nguyen; Thanh Ngoc Le; Dung Thi My Dinh; Minh Thi Binh Nguyen; Huu Cong Nguyen; Anh Thi Van Bui; et al. (Expert Syst. Appl., 2024)