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Petras I, Beleznai C, Dedeoglu Y, Pardàs M, Kovács L, Szlávik Z, et al.. Flexible test-bed for unusual behavior detection. In 6th ACM International Conference on Image and Video Retrieval. 2007. pp. 105–108.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.
Petrone P, Vilaplana V, Casamitjana A, Tucholka A, Falcon C, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
Petrone P, Vilaplana V, Casamitjana A, Sanchez-Escobedo D, Tucholka A, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2017;13(7):P1245.
Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Pina O, Vilaplana V. Self-supervised graph representations of WSIs. In Geometric Deep Learning in Medical Image Analysis. 2022.
Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. Submitted;.
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, 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)
Plasencia AChávez, García-Gómez P, Pérez EBernal, de-Mas-Giménez G, Casas J, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).
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)

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