Cell Nuclei Detection and Classification in Whole Slide Images with Transformers - Oscar Pina; Eduard Dorca; Verónica Vilaplana (CoRR, 2025)

Feature propagation as self-supervision signals on graphs - Oscar Pina; Verónica Vilaplana (Knowl. Based Syst., 2024)

Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers - Oscar Pina; Verónica Vilaplana (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2024)

Cell-DETR: Efficient cell detection and classification in WSIs with transformers - Oscar Pina; Eduard Dorca; Verónica Vilaplana (Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France, 2024)

RGI : Regularized Graph Infomax for self-supervised learning on graphs - Oscar Pina; Verónica Vilaplana (CoRR, 2023)

Layer-wise training for self-supervised learning on graphs - Oscar Pina; Verónica Vilaplana (CoRR, 2023)

Self-supervised graph representations of WSIs - Oscar Pina; Verónica Vilaplana (Geometric Deep Learning in Medical Image Analysis, 18 November 2022, Amsterdam, The Netherlands, 2022)

Structural Networks for Brain Age Prediction - Oscar Pina; Irene Cumplido-Mayoral; Raffaele Cacciaglia; José María González-de-Echávarri; Juan Domingo Gispert; Verónica Vilaplana (International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland, 2022)