Conference Papers by Oscar Pinaback

2025
O. Pina, Dorca, E., and Vilaplana, V., “Cell Detection with Transformers – A Paradigm Shift from Segmentation to Detection in Digital Pathology”, in 21st European Congress on Digital Pathology, 2025. (599.69 KB)
O. Pina, Jimenez, L., Dorca, E., and Vilaplana, V., “Hierarchical Cell-to-Patch Graphs for Context-Aware Cell Classification in Digital Pathology”, in 21st European Congress on Digital Pathology, Barcelona, 2025. (600.71 KB)
O. Pina, Dorca, E., and Vilaplana, V., “Unsupervised Domain Adaptation for Cell Detection Across Histopathological Stains”, in 21st European Congress on Digital Pathology, Barcelona, 2025. (601.11 KB)
E. Dorca, Pina, O., Taco, Mdel Rosari, Fermamdez, E. Guerra, Vilaplana, V., and Bel, A. Vidal, “Multimodal AI for Atypical Hyperplasia Diagnosis: A Comparative Study of CNNs, GNNs, and Hybrid Models”, in 21st European Congress on Digital Pathology, Barcelona, 2025. (592.84 KB)
2024
O. Pina and Vilaplana, V., “Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop), 2024.
O. Pina, Dorca, E., and Vilaplana, V., “Cell-DETR: Efficient cell detection and classification in WSIs with transformers”, in Medical Imaging with Deep Learning (MIDL 2024), 2024.
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.
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.
O. Pina and Vilaplana, V., “Self-supervised graph representations of WSIs”, in Geometric Deep Learning in Medical Image Analysis, 2022.