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Pina O, Vilaplana V. Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems,. 2025;.
Pina O, 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.
Pina O, Dorca E, Vilaplana V. Unsupervised Domain Adaptation for Cell Detection Across Histopathological Stains. In 21st European Congress on Digital Pathology. Barcelona: The European Society of Digital and Integrative Pathology; 2025.  (601.11 KB)
Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. 2024;289.
Pina O. From pixels to graphs: cell-based digital pathology image analysis. Vilaplana V. Signal Theory and Communications. 2025.
Pina O, 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.
Pina O, Jimenez L, Dorca E, Vilaplana V. Hierarchical Cell-to-Patch Graphs for Context-Aware Cell Classification in Digital Pathology. In 21st European Congress on Digital Pathology. Barcelona: The European Society of Digital and Integrative Pathology; 2025.  (600.71 KB)
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.
Pinazo J, Lerín A, de Gibert FXavier, Moliner Á, Sevilla D, Jurado A, et al.. Perception in the era of Autonomous Vehicles. In Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022.  (2.34 MB)
Pineda N, Jorge J, Garrido L, Salembier P. Estudio de campos de golf mediante técnicas de segmentación. In IX Congreso Nacional de Teledetección. Lleida, Spain; 2001.  (130.37 KB)
Podlipnik S, Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, et al.. Personalized medicine in melanoma patients aided by artificial intelligence. In Clinical Translation of Medical Image Computing and Computer Assisted Interventions (CLINICCAI) Workshop at MICCAI. 2021.
Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016.  (679.91 KB)
Pont-Tuset J, Arbelaez P, Barron JT, Marqués F, Malik J. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2017;38(7):128-140.
Pont-Tuset J, Marqués F. Supervised Evaluation of Image Segmentation and Object Proposal Techniques. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2016;38(7):1465 - 1478.
Pont-Tuset J, Marqués F. Contour detection using binary partition trees. In IEEE International Conference on Image Processing. 2010. pp. 1609–1612.
Pont-Tuset J. Image Segmentation Evaluation and Its Application to Object Detection. Marqués F. [Barcelona]: Universitat Politècnica de Catalunya, BarcelonaTech; 2014.  (48.44 MB)
Pont-Tuset J, Marqués F. Supervised Assessment of Segmentation Hierarchies. In European Conference on Computer Vision (ECCV). 2012.  (421.65 KB)
Pont-Tuset J, Marqués F. Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation. In Computer Vision and Pattern Recognition (CVPR). 2013.  (909.27 KB)
Pont-Tuset J, Marqués F. Upper-bound assessment of the spatial accuracy of hierarchical region-based image representations. In IEEE International Conference on Acoustics, Speech, and Signal Processing. 2012. pp. 865-868.
Porta S. Rapid Serial Visual Presentation for Relevance Feedback in Image Retrieval with EEG Signals. Salvador A, Mohedano E, Giró-i-Nieto X, O'Connor N. 2015.  (1.38 MB)
Puch S, Aduriz A, Casamitjana A, Vilaplana V, Gispert JD. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In NIPS 2016 Workshop on Machine Learning for Health. 2016.  (1.6 MB)
Puch S. Nonlinear analysis toolbox for neurodegenerative diseases and aging. Vilaplana V. 2016.  (9.74 MB)
Puig-Sitjes A, Casas J, Salembier P, Vizcarro D, Clemente R, Jakubowski M, et al.. Spatio-temporal Detection and Tracking of Thermal Events on the Plasma Facing Components of Wendelstein 7-X. In 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis. Shanghai (online): iaea.org; 2021.
Puig-Sitjes A, Jakubowski M, Gao Y, Drewelow P, Niemann H, Fellinger J, et al.. Real-time detection of overloads on the PFCs of W7-X. In European Conference on Plasma Diagnostics (ECPD 2021). online: CLPU; 2021.  (132.62 KB)
Puig-Sitjes A, Jakubowski M, Naujoks D, Gao Y, Drewelow P, Niemann H, et al.. Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X. Applied sciences (Basel). 2021;11(24).  (6.09 MB)

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