1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
Cell Nuclei Detection and Classification in Whole Slide Images with Transformers
Oscar Pina, Eduard Dorca, Verónica Vilaplana
Accurate and efficient cell nuclei detection and classification in histopathological Whole Slide Images (WSIs) are pivotal for digital pathology applications. Traditional cell segm…
cs.LG2023
Layer-wise training for self-supervised learning on graphs
Oscar Pina, Verónica Vilaplana
End-to-end training of graph neural networks (GNN) on large graphs presents several memory and computational challenges, and limits the application to shallow architectures as dept…
cs.LG2023
Feature propagation as self-supervision signals on graphs
Oscar Pina, Verónica Vilaplana
Self-supervised learning is gaining considerable attention as a solution to avoid the requirement of extensive annotations in representation learning on graphs. Current algorithms…