Repositorio Institucional de la Universidad de Oviedo

Mostrando ítems 1-20 de 36

A multi-task framework for breast cancer segmentation and classification in ultrasound imaging

Aumente Maestro, Carlos; Díez Peláez, Jorge; Remeseiro López, Beatriz (2025)
A pseudo-label guided hybrid approach for unsupervised domain adaptation

Blanco Mallo, E.; Bolón Canedo, V.; Remeseiro López, Beatriz (2023)
A review of feature selection methods in medical applications

Remeseiro López, Beatriz; Bolon Canedo, Verónica (2019)
A self-supervised approach for enhanced feature representations in object detection tasks

Vilabella, S. C.; Pérez Núñez, Pablo; Remeseiro López, Beatriz (2024)
AInotherBrickInTheWall: aplicación de técnicas de reinforcement learning al sector de la construcción

Rivas Fernández, Alberto (2023-07-21)
All-in-one picture: visual summary of items in a recommender system

Pérez Núñez, Pablo; Díez Peláez, Jorge; Remeseiro López, Beatriz; Luaces Rodríguez, Óscar; Bahamonde Rionda, Antonio (2023)
An end-to-end framework for intima media measurement and atherosclerotic plaque detection in the carotid artery

Gago, L.; Vila, María del Mar; Grau, M.; Remeseiro López, Beatriz; Igual, L. (2022)
AutoComics: Ilustración de comics a partir de descripciones textuales utilizando Deep Learning

Sánchez Bermúdez, Martín (2022-07-20)
Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation

Remeseiro López, Beatriz; Mendonça, A. M.; Campilho, A. (2020)
Automatic detection of defective crankshafts by image analysis and supervised classification

Remeseiro López, Beatriz; Tarrío Saavedra, J.; Francisco Fernández, M.; Penedo, M .G.; Naya, S.; Cao, R. (2019)
Bayesian deep learning for semantic segmentation of food images

Aguilar, E.; Nagarajan, B.; Remeseiro López, Beatriz; Radeva, P. (2022)
Bts u-net: a data-driven approach to brain tumor segmentation through deep learning

Aumente Maestro, Carlos; Rodríguez González, David; Martínez Rego, David; Remeseiro López, Beatriz (2025)
Case studies to demonstrate real-world applications in ophthalmic image analysis

Remeseiro López, Beatriz; Bolón Canedo, V. (2022)
Deep-stratification of the cardiovascular risk by ultrasound carotid artery images

Vila, María del Mar; Gago, L.; Pérez Sánchez, P.; Grau, M.; Remeseiro López, Beatriz; Igual, L. (2024)
DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation

Torre, Margarita; Remeseiro López, Beatriz; Radeva, P.; Martínez Sáez, Fernando (2020)
Do all roads lead to Rome? Studying distance measures in the context of machine learning

Blanco Mallo, E.; Morán Fernández, L.; Remeseiro López, Beatriz; Bolón Canedo, V. (2023)
Do individuals with autoimmune disease have increased risk of subclinical carotid atherosclerosis and stiffness?

Vila, María del Mar; Remeseiro López, Beatriz; Igual, L.; Elosua, R.; Ramos, R.; Valdivielso, J. M.; Martí Lluch, R.; Marrugat, J.; Grau, M. (2021)
Eye-lrcn: a long-term recurrent convolutional network for eye blink completeness detection

Cruz, Gonzalo de la; Lira, M.; Luaces Rodríguez, Óscar; Remeseiro López, Beatriz (2022)
Feature Selection for Big Visual Data: Overview and Challenges

Bolón-Canedo, Verónica; Remeseiro López, Beatriz; Cancela, B. (2018)
Feature Selection in Big Image Datasets

Figueira Domínguez, J. Guzmán; Bolon Canedo, Verónica; Remeseiro López, Beatriz (2020)