Automatic Drusen Detection from Digital Retinal Images: AMD Prevention. - Beatriz Remeseiro; Noelia Barreira; David Calvo; Marcos Ortega 001; Manuel G. Penedo (EUROCAST, 2009)

Characterisation of Retinal Feature Points Applied to a Biometric System. - David Calvo; Marcos Ortega 001; Manuel G. Penedo; José Rouco; Beatriz Remeseiro (ICIAP, 2009)

Color Texture Analysis for Tear Film Classification: A Preliminary Study. - David Calvo; Antonio Mosquera González; Marta Penas; Carlos García-Resúa; Beatriz Remeseiro (ICIAR (2), 2010)

Directional Gaze Analysis in Webcam Video Sequences. - V. Vivero; Noelia Barreira; Manuel G. Penedo; David Cabrero; Beatriz Remeseiro (ICIAR (2), 2010)

Colour Texture Analysis for Classifying the Tear Film Lipid Layer: A Comparative Study. - Beatriz Remeseiro; Lucía Ramos; Marta Penas; Enrique Martínez; Manuel G. Penedo; Antonio Mosquera González (DICTA, 2011)

Texture and Color Analysis for the Automatic Classification of the Eye Lipid Layer. - Lucía Ramos; Marta Penas; Beatriz Remeseiro; Antonio Mosquera González; Noelia Barreira; Eva Yebra-Pimentel (IWANN (2), 2011)

Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test. - Verónica Bolón-Canedo; Diego Peteiro-Barral; Beatriz Remeseiro; Amparo Alonso-Betanzos; Bertha Guijarro-Berdiñas; Antonio Mosquera González; Manuel G. Penedo; Noelia Sánchez-Maroño (ICTAI, 2012)

Statistical Comparison of Classifiers Applied to the Interferential Tear Film Lipid Layer Automatic Classification. - Beatriz Remeseiro; Marta Penas; Antonio Mosquera González; Jorge Novo; Manuel Francisco González Penedo; Eva Yebra-Pimentel (Comput. Math. Methods Medicine, 2012)

Automatic cyst detection in OCT retinal images combining region flooding and texture analysis. - Ana González 001; Beatriz Remeseiro; Marcos Ortega 001; Manuel G. Penedo; Pablo Charlón (CBMS, 2013)

Colour Texture Segmentation of Tear Film Lipid Layer Images. - Beatriz Remeseiro-López; Lucía Ramos; Noelia Barreira-Rodríguez; Antonio Mosquera González; Eva Yebra-Pimentel (EUROCAST (2), 2013)

Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification. - Rebeca Méndez; Beatriz Remeseiro; Diego Peteiro-Barral; Manuel G. Penedo (ICAART (2), 2013)

Evaluation of Class Binarization and Feature Selection in Tear Film Classification using TOPSIS. - Rebeca Méndez; Beatriz Remeseiro; Diego Peteiro-Barral; Manuel G. Penedo (ICAART (Revised Selected Papers), 2013)

Automatic classification of the interferential tear film lipid layer using colour texture analysis. - Beatriz Remeseiro; Marta Penas; Noelia Barreira; Antonio Mosquera González; Jorge Novo; Carlos García-Resúa (Comput. Methods Programs Biomed., 2013)

mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection. - Verónica Bolón-Canedo; Beatriz Remeseiro; Noelia Sánchez-Maroño; Amparo Alonso-Betanzos (ICAART (1), 2014)

Tear Film Maps based on the Lipid Interference Patterns. - Beatriz Remeseiro; Antonio Mosquera González; Manuel G. Penedo; Carlos García-Resúa (ICAART (1), 2014)

Feature Selection Applied to Human Tear Film Classification. - Daniel G. Villaverde; Beatriz Remeseiro; Noelia Barreira; Manuel G. Penedo; Antonio Mosquera González (ICAART (1), 2014)

Automatic Tear Film Segmentation Based on Texture Analysis and Region Growing. - Beatriz Remeseiro; Katherine M. Oliver; Eilidh Martin; Alan Tomlinson; Daniel G. Villaverde; Manuel G. Penedo (ICIAR (2), 2014)

A Methodology for Improving Tear Film Lipid Layer Classification. - Beatriz Remeseiro; Verónica Bolón-Canedo; Diego Peteiro-Barral; Amparo Alonso-Betanzos; Bertha Guijarro-Berdiñas; Antonio Mosquera González; Manuel G. Penedo; Noelia Sánchez-Maroño (IEEE J. Biomed. Health Informatics, 2014)

Learning features on tear film lipid layer classification. - Beatriz Remeseiro; Verónica Bolón-Canedo; Amparo Alonso-Betanzos; Manuel G. Penedo (ESANN, 2015)

A Texture-Based Method for Choroid Segmentation in Retinal EDI-OCT Images. - Ana González-López; Beatriz Remeseiro; Marcos Ortega 001; Manuel G. Penedo; Pablo Charlón (EUROCAST, 2015)

Choroid Characterization in EDI OCT Retinal Images Based on Texture Analysis. - Ana González-López; Beatriz Remeseiro; Marcos Ortega 001; Manuel G. Penedo (ICAART (2), 2015)

Automatic Eye Blink Detection Using Consumer Web Cameras. - Beatriz Remeseiro; Alba Fernández; Madalena Lira (IWANN (2), 2015)

Automatic grading system for human tear films. - Beatriz Remeseiro; Katherine M. Oliver; Alan Tomlinson; Eilidh Martin; Noelia Barreira; Antonio Mosquera González (Pattern Anal. Appl., 2015)

Real-Time Tear Film Classification Through Cost-Based Feature Selection. - Verónica Bolón-Canedo; Beatriz Remeseiro; Noelia Sánchez-Maroño; Amparo Alonso-Betanzos (Trans. Comput. Collect. Intell., 2015)

Machine learning for medical applications. - Verónica Bolón-Canedo; Beatriz Remeseiro; Amparo Alonso-Betanzos; Aurélio Campilho (ESANN, 2016)

Acceleration of Tear Film Map Definition on Multicore Systems. - Jorge González-Domínguez; Beatriz Remeseiro; María J. Martín (ICCS, 2016)

iDEAS: A web-based system for dry eye assessment. - Beatriz Remeseiro; Noelia Barreira; Carlos García-Resúa; Madalena Lira; María Jesús Giráldez Fernández; Eva Yebra-Pimentel; Manuel G. Penedo (Comput. Methods Programs Biomed., 2016)

CASDES: A Computer-Aided System to Support Dry Eye Diagnosis Based on Tear Film Maps. - Beatriz Remeseiro; Antonio Mosquera González; Manuel G. Penedo (IEEE J. Biomed. Health Informatics, 2016)

Algorithmic challenges in big data analytics. - Verónica Bolón-Canedo; Beatriz Remeseiro; Konstantinos Sechidis; David Martínez-Rego; Amparo Alonso-Betanzos (ESANN, 2017)

Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns. - Pedro Herruzo; Laura Portell; Alberto Soto; Beatriz Remeseiro (ICIAP Workshops, 2017)

Objective quality assessment of retinal images based on texture features. - Beatriz Remeseiro; Ana Maria Mendonça; Aurélio J. C. Campilho (IJCNN, 2017)

Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. - Ana Maria Mendonça; Beatriz Remeseiro; Behdad Dashtbozorg; Aurélio Campilho (Computer-Aided Diagnosis, 2017)

Parallel definition of tear film maps on distributed-memory clusters for the support of dry eye diagnosis. - Jorge González-Domínguez; Beatriz Remeseiro; María J. Martín (Comput. Methods Programs Biomed., 2017)

Evaluation of an automatic dry eye test using MCDM methods and rank correlation. - Diego Peteiro-Barral; Beatriz Remeseiro; Rebeca Méndez; Manuel G. Penedo (Medical Biol. Eng. Comput., 2017)

Feature Selection for Big Visual Data: Overview and Challenges. - Verónica Bolón-Canedo; Beatriz Remeseiro; Brais Cancela (ICIAR, 2018)

A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees. - Stefan Schurischuster; Beatriz Remeseiro; Petia Radeva; Martin Kampel (ICIAR, 2018)

Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. - Eduardo Aguilar 001; Beatriz Remeseiro; Marc Bolaños; Petia Radeva (IEEE Trans. Multim., 2018)

A review of feature selection methods in medical applications. - Beatriz Remeseiro; Verónica Bolón-Canedo (Comput. Biol. Medicine, 2019)

Feature selection in image analysis: a survey. - Verónica Bolón-Canedo; Beatriz Remeseiro (Artif. Intell. Rev., 2020)

Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation. - Maria del Mar Vila; Beatriz Remeseiro; Maria Grau; Roberto Elosua; Àngels Betriu; Elvira Fernandez-Giraldez; Laura Igual (Artif. Intell. Medicine, 2020)

On the effectiveness of convolutional autoencoders on image-based personalized recommender systems. - Eva Blanco-Mallo; Beatriz Remeseiro; Verónica Bolón-Canedo; Amparo Alonso-Betanzos (CoRR, 2020)

Towards explainable personalized recommendations by learning from users' photos. - Jorge Díez 001; Pablo Pérez-Núñez; Oscar Luaces; Beatriz Remeseiro; Antonio Bahamonde (Inf. Sci., 2020)

DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation. - Margaríta Torre; Beatriz Remeseiro; Petia Radeva; Fernando Martínez (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. - David Morales; Estefanía Talavera; Beatriz Remeseiro (Neural Comput. Appl., 2021)

Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation. - Beatriz Remeseiro; Ana Maria Mendonça; Aurélio Campilho (Vis. Comput., 2021)

The role of feature selection in personalized recommender systems. - Roger Bagué-Masanés; Verónica Bolón-Canedo; Beatriz Remeseiro (ESANN, 2022)

When the best reviews are not placed between extremes. - Eva Blanco-Mallo; João Carneiro 001; Goreti Marreiros; Beatriz Remeseiro; Verónica Bolón-Canedo (IJCNN, 2022)

Bayesian deep learning for semantic segmentation of food images. - Eduardo Aguilar 001; Bhalaji Nagarajan; Beatriz Remeseiro; Petia Radeva (Comput. Electr. Eng., 2022)

An end-to-end framework for intima media measurement and atherosclerotic plaque detection in the carotid artery. - Lucas Gago; Maria del Mar Vila; Maria Grau; Beatriz Remeseiro; Laura Igual (Comput. Methods Programs Biomed., 2022)

Correction to: Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. - David Morales; Estefanía Talavera; Beatriz Remeseiro (Neural Comput. Appl., 2022)

A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation. - Eva Blanco-Mallo; Verónica Bolón-Canedo; Beatriz Remeseiro (IDEAL, 2023)

Users' photos of items can reveal their tastes in a recommender system. - Pablo Pérez-Núñez; Jorge Díez 001; Oscar Luaces; Beatriz Remeseiro; Antonio Bahamonde (Inf. Sci., 2023)

All-in-one picture: visual summary of items in a recommender system. - Pablo Pérez-Núñez; Jorge Díez 001; Beatriz Remeseiro; Oscar Luaces; Antonio Bahamonde (Neural Comput. Appl., 2023)

Do all roads lead to Rome? Studying distance measures in the context of machine learning. - Eva Blanco-Mallo; Laura Morán-Fernández; Beatriz Remeseiro; Verónica Bolón-Canedo (Pattern Recognit., 2023)

Towards a Lightweight CNN for Semantic Food Segmentation. - Bastián Muñoz; Beatriz Remeseiro; Eduardo Aguilar 001 (CIARP (1), 2024)

A Self-Supervised Approach for Enhanced Feature Representations in Object Detection Tasks. - Santiago C. Vilabella; Pablo Pérez-Núñez; Beatriz Remeseiro (IJCNN, 2024)

Deep-stratification of the cardiovascular risk by ultrasound carotid artery images. - Maria del Mar Vila; Lucas Gago; Pablo Pérez-Sánchez; Maria Grau; Beatriz Remeseiro; Laura Igual (Biomed. Signal Process. Control., 2024)

Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection. - Gonzalo de la Cruz; Madalena Lira; Oscar Luaces; Beatriz Remeseiro (IEEE Trans. Neural Networks Learn. Syst., 2024)

BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning. - Carlos Aumente-Maestro; David Rodriguez Gonzalez; David Martínez-Rego; Beatriz Remeseiro (Biomed. Signal Process. Control., 2025)

A multi-task framework for breast cancer segmentation and classification in ultrasound imaging. - Carlos Aumente-Maestro; Jorge Díez 001; Beatriz Remeseiro (Comput. Methods Programs Biomed., 2025)

AUDIT: An open-source Python library for AI model evaluation with use cases in MRI brain tumor segmentation. - Carlos Aumente-Maestro; Michael Müller; Beatriz Remeseiro; Jorge Díez 001; Mauricio Reyes 001 (Comput. Methods Programs Biomed., 2025)