Personal profile
ShortBio
Graduated in Telecommunication Technology Engineering in 2018 and holder of a Master's Degree in Telecommunication Engineering in 2020, both awarded by the University of the Basque Country (UPV/EHU). She completed her Final Degree Project in the BioRes research group of the School of Engineering of Bilbao, focused on biomedical signal processing. She completed her Master's thesis in the Computer Vision research group at Tecnalia, where she specialized in the development of deep learning models applied to computer vision. She is currently a researcher in this group, and, in addition, she is carrying out her PhD thesis in a collaboration agreement between Tecnalia and UPV, focused on the development of generative models and high precision deep learning models for image classification, segmentation and regression. She holds 2 European and international patents and has published 5 articles in sicentific journals.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger
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Collaborations and top research areas from the last five years
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Latent diffusion meets semi-supervised learning: Enhancing plant disease detection with minimal labels
Eguskiza, I., Picón, A., Benito-Del-Valle, L., Bereciartua-Pérez, A., Gómez-Zamanillo, L., Elola, A., Aramendi, E., Espejo, R., Klukas, C. & Navarra-Mestre, R., 1 Jul 2026, In: Computers and Electronics in Agriculture. 248, 111840.Research output: Contribution to journal › Article › peer-review
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Crop-conditional semantic segmentation for efficient agricultural disease assessment
Picon, A., Eguskiza, I., Galan, P., Gomez-Zamanillo, L., Romero, J., Klukas, C., Bereciartua-Perez, A., Scharner, M. & Navarra-Mestre, R., Mar 2025, In: Artificial Intelligence in Agriculture. 15, 1, p. 79-87 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus)10 Downloads (Pure) -
Reducing annotation effort in agricultural data: simple and fast unsupervised coreset selection with DINOv2 and K-means
Gómez-Zamanillo, L., Portilla, N., Picón, A., Egusquiza, I., Navarra-Mestre, R., Elola, A. & Bereciartua-Perez, A., 2025, In: Frontiers in Plant Science. 16, 1546756.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Semi-Supervised Approach for Automatic Counting of Whiteflies With Small Annotated Dataset
Gomez-Zamanillo, L., Bereciartua-Perez, A., Elola, A., Picon, A., Alvarez-Gila, A., Egusquiza, I. & Navarra-Mestre, R., 2025, In: IEEE Access. 13, p. 55586-55598 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Taxonomic hierarchical loss function for enhanced crop and weed phenotyping in multi-task semantic segmentation
Picon, A., Mugica, D., Eguskiza, I., Bereciartua-Perez, A., Romero, J., Jimenez, C. J., Klukas, C., Gomez-Zamanillo, L., Eggers, T. & Navarra-Mestre, R., Mar 2025, In: Smart Agricultural Technology. 10, 100761.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure)
Datasets
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Unleashing the Potential of Synthetic Images: Histopathology Image Classification
Benito-Del-Valle, L. (Creator), Alvarez-Gila, A. (Creator), Egusquiza, I. (Creator) & L. Saratxaga, C. (Creator), Zenodo, 2025
Dataset
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Unleashing the Potential of Synthetic Images: Histopathology Image Classification
Benito-Del-Valle, L. (Creator), Alvarez-Gila, A. (Creator), Egusquiza, I. (Creator) & L. Saratxaga, C. (Creator), Zenodo, 8 Jan 2025
DOI: 10.5281/zenodo.13928371, https://zenodo.org/records/13928371
Dataset