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Alonso-González A, Valero S, Chanussot J, López-Martínez C, Salembier P. Processing Multidimensional SAR and Hyperspectral Images With Binary Partition Tree. Proceedings of the IEEE. 2013;101(3):723 - 747.  (4.46 MB)
Vilaplana V. Processament puntual. In Codificació del so i de la imatge. 2009. pp. 5–65.
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Cànaves MArtigues. Prevention of Alzheimer's Disease: a contribution from MRI and machine learning. Petrone P, Vilaplana V. 2018.
Descampe A, De Vleeschouwer C, Iregui M, Macq B, Marqués F. Pre-fetching strategies for remote and interactive browsing of JPEG2000 images. In International Conference on Image Processing. 2006. pp. 3203–3206.
Descampe A, Vleeschouwer D, Iregui M, Macq B, Marqués F. Prefetching and caching strategies for remote and interactive browsing of JPEG2000 images. IEEE transactions on image processing. 2007;16:1339–1354.
Marqués F, Llorens B, Gasull A. Prediction of image partitions using fourier descriptors : application to segmentation-based coding schemes. IEEE transactions on image processing. 1998;7:529–542.
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).
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Pareto D, Vidal P, Alberich M, Lopez C, Auger C, Tintoré M, et al.. Prediction of a second clinical event in CIS patients by combining lesion and brain features. In Congress of the European Comitee for Treatment and Research in Multiple Sclerosis (ECTRIMS 2019). 2019.
Torres L, Casas J. Prediction error image coding using a modified stochastic vector quantization scheme. In IEEE International Conference on Image Processing. 1996. pp. 451–454.
Solé J, Salembier P. Prediction design for discrete generalized lifting. In Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2004. Brussels, Belgium; 2004. pp. 78–82.  (348.28 KB)
Cardoner LL. Predicting Media Interestingness. Zaharieva M, Giró-i-Nieto X. 2017.  (1.78 MB)
Bernal O. Predicting emotion in movies: Recurrent and convolutional models applied to videos. Giró-i-Nieto X, Zaharieva M. 2017.  (3.05 MB)
Bartusiak E, Barrabés M, Rymbe A, Gimbernat J, López C, Barberis L, et al.. Predicting Dog Phenotypes from Genotypes. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). In Press.
Palou G, Salembier P. Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images. In European Conference on Computer Vision (ECCV). Zurich; 2014.  (1.37 MB)
Marcello J, Eugenio F, Marqués F. Precise upwelling and filaments automatic extraction from multisensorial imagery. In IEEE International Geoscience and Remote Sensing Symposium 2004. 2004. pp. 2018–2021.
Salembier P, Oliveras A. Practical extensions of connected operators. In International Symposium on Mathematical Morphology, ISMM 1996. Atlanta (GA), USA; 1996. pp. 97–110.  (368.26 KB)
Alonso-González A, López-Martínez C, Salembier P. PolSAR Time Series Processing with Binary Partition Trees. IEEE Transactions on Geoscience and Remote Sensing. 2014;52(6):3553 – 3567.  (4.07 MB)
Alonso-González A, López-Martínez C, Salembier P. PolSAR time series processing and analysis based on Binary Partition Trees. In PoLinSAR 2013 Workshop. Frascati (Rome), Italy; 2013.  (4.58 MB)
Alonso-González A, López-Martínez C, Salembier P. PolSAR speckle filtering and segmentation based on binary partition tree representation. In 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, PolInSAR 2011. Frascati (Rome), Italy; 2011. pp. 1–19.  (11.09 MB)
Ramon E, Villar J, Ruiz G, Batard T, Giró-i-Nieto X. Plug-and-Train Loss for Model-Based Single View 3D Reconstruction. BMVA Technical Meeting: 3D vision with Deep Learning. London, UK: UPC; 2019.  (3.97 MB)
Geleta M, Puntí C, McGuinness K, Pons J, Canton-Ferrer C, Giró-i-Nieto X. PixInWav: Residual Steganography for Hiding Pixels in Audio. In ICASSP. 2022.  (5.77 MB)
Puntí C. PixInPix: Hidding Pixels in Pixels. McGuinness K, Canton-Ferrer C, Giró-i-Nieto X. 2020.  (2.13 MB)
Creus R, Nieto JJosé, Giró-i-Nieto X. PixelEDL: Unsupervised Skill Discovery and Learning from Pixels. In CVPR 2021 Embodied AI Workshop. 2021.  (1.55 MB)

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