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TITLE: Multi-task Learning Approach for Intracranial Hemorrhage Prognosis
AUTHORS: Miriam Cobo; Amaia Pérez del Barrio; Pablo Menéndez Fernández Miranda; Pablo Sanz Bellón; Lara Lloret Iglesias; Wilson Silva;
PUBLISHED: 2025, SOURCE: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 15242 LNCS
INDEXED IN: Scopus CrossRef
IN MY: ORCID
2
TITLE: Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance
AUTHORS: Cano Ortiz, S; Iglesias, LL; del Arbol, PMR; Castro Fresno, D;
PUBLISHED: 2024, SOURCE: DEVELOPMENTS IN THE BUILT ENVIRONMENT, VOLUME: 17
INDEXED IN: Scopus WOS
IN MY: ORCID
3
TITLE: An end-to-end computer vision system based on deep learning for pavement distress detection and quantification
AUTHORS: Saúl Cano Ortiz; Lara Lloret Iglesias; Pablo Martinez Ruiz del Árbol; Pedro Lastra González; Daniel Castro Fresno;
PUBLISHED: 2024, SOURCE: Construction and Building Materials, VOLUME: 416
INDEXED IN: Scopus
IN MY: ORCID
4
TITLE: A retrospective study of deep learning generalization across two centers and multiple models of X-ray devices using COVID-19 chest-X rays  Full Text
AUTHORS: Fernández Miranda, PM; Fraguela, EM; de Linera Alperi, MA; Cobo, M; del Barrio, AP; González, DR; Vega, JA; Iglesias, LL;
PUBLISHED: 2024, SOURCE: SCIENTIFIC REPORTS, VOLUME: 14, ISSUE: 1
INDEXED IN: Scopus WOS
IN MY: ORCID
5
TITLE: Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance
AUTHORS: Saúl Cano-Ortiz; Lara Lloret Iglesias; Pablo Martinez Ruiz del Árbol; Daniel Castro-Fresno;
PUBLISHED: 2024, SOURCE: Developments in the Built Environment, VOLUME: 17
INDEXED IN: CrossRef: 1
IN MY: ORCID
6
TITLE: An end-to-end computer vision system based on deep learning for pavement distress detection and quantification
AUTHORS: Saúl Cano-Ortiz; Lara Lloret Iglesias; Pablo Martinez Ruiz del Árbol; Pedro Lastra-González; Daniel Castro-Fresno;
PUBLISHED: 2024, SOURCE: Construction and Building Materials, VOLUME: 416
INDEXED IN: CrossRef
IN MY: ORCID
7
TITLE: A retrospective study of deep learning generalization across two centers and multiple models of X-ray devices using COVID-19 chest-X rays  Full Text
AUTHORS: Pablo Menéndez Fernández-Miranda; Enrique Marqués Fraguela; Marta Álvarez de Linera-Alperi; Miriam Cobo; Amaia Pérez del Barrio; David Rodríguez González; José A Vega; Lara Lloret Iglesias;
PUBLISHED: 2024, SOURCE: Scientific Reports, VOLUME: 14, ISSUE: 1
INDEXED IN: CrossRef
IN MY: ORCID
8
TITLE: Novel digital-based approach for evaluating wine components’ intake: A deep learning model to determine red wine volume in a glass from single-view images
AUTHORS: Miriam Cobo; Edgard Relaño de la Guía; Ignacio Heredia; Fernando Aguilar; Lara Lloret-Iglesias; Daniel García; Silvia Yuste; Emma Recio-Fernández; Patricia Pérez-Matute; José J Motilva; Victoria V Moreno-Arribas; Begoña Bartolomé;
PUBLISHED: 2024, SOURCE: Heliyon, VOLUME: 10, ISSUE: 15
INDEXED IN: CrossRef
IN MY: ORCID
9
TITLE: Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
AUTHORS: Saúl Cano Ortiz; Eugenio Sainz Ortiz; Lara Lloret Iglesias; Pablo Martínez Ruiz del Árbol; Daniel Castro Fresno;
PUBLISHED: 2024, SOURCE: Results in Engineering, VOLUME: 23
INDEXED IN: Scopus CrossRef
IN MY: ORCID
10
TITLE: Classification of Cast Iron Alloys through Convolutional Neural Networks Applied on Optical Microscopy Images  Full Text
AUTHORS: Marta Bárcena; Lara Lloret Iglesias; Diego Ferreño; Isidro Carrascal;
PUBLISHED: 2024, SOURCE: Steel Research International
INDEXED IN: Scopus CrossRef
IN MY: ORCID
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