Oscar Pina

Journal Articles top

Submitted
O. Pina and Vilaplana, V., “Feature propagation as self-supervision signals on graphs”, Knowledge-Based Systems, Submitted. Google Scholar BibTex

2024
J. Perez-Cano, Valero, I. Sansano, Anglada, D., Pina, O., Salembier, P., and Marqués, F., “Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue”, Heliyon, vol. 10, no. 7, 2024. DOI Google Scholar BibTex (4.05 MB)

Conference Papers top

2023
O. Pina and Vilaplana, V., “Layer-wise self-supervised learning on graphs”, in KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023), Long Beach, USA, 2023. Google Scholar BibTex

2022
O. Pina, Cumplido-Mayoral, I., Cacciaglia, R., González-de-Echávarri, J. María, Gispert, J. D., and Vilaplana, V., “Structural Networks for Brain Age Prediction”, in Medical Imaging with Deep Learning (MIDL 2022), 2022. Google Scholar BibTex
O. Pina and Vilaplana, V., “Self-supervised graph representations of WSIs”, in Geometric Deep Learning in Medical Image Analysis, 2022. Google Scholar BibTex