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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.
Bernal O. Predicting emotion in movies: Recurrent and convolutional models applied to videos. Giró-i-Nieto X, Zaharieva M. 2017.  (3.05 MB)
Cardoner LL. Predicting Media Interestingness. Zaharieva M, Giró-i-Nieto X. 2017.  (1.78 MB)
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)
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.
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.
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.
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.
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.
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.
Cànaves MArtigues. Prevention of Alzheimer's Disease: a contribution from MRI and machine learning. Petrone P, Vilaplana V. 2018.
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.
Vilaplana V. Processament puntual. In Codificació del so i de la imatge. 2009. pp. 5–65.
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)
Salembier P. Processing Radar Images with Hierarchical Region-Based Representations and Graph Signal Processing Tools. In Workshop on Digital Topology and Mathematical Morphology associated to the 21st IAPR International Conference on Discrete Geometry for Computer Imagery, Keynote speech. Paris, France; 2019.  (7.98 MB)
Casamitjana A, Petrone P, Molinuevo JLuis, Gispert JD, Vilaplana V. Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease. Frontiers in Neurology, section Applied Neuroimaging. 2020;11.
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. Alzheimer's & Dementia: The Journal of the Alzheimer's Association . 2018;14(7):P869-P870.
Canton-Ferrer C, Casas J, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In Machine Learning for Multimodal Interaction. Berlin / Heidelberg: Springer; 2006. pp. 250–261.
Canton-Ferrer C, Canton-Ferrer C, Casas J, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.
Irurueta A, Morros JR. PROMEDS: An adaptive robust fundamental matrix estimation approach. In 3DTV Conference. Zurich, Switzerland: IEEE; 2012.  (576.37 KB)
Morros JR, Marqués F. A proposal for dependent optimization in scalabale region-based coding systems. In 1999 IEEE International Conference on Image Processing. 1999. pp. 295–299.  (417.77 KB)
Cabrera M, Closas P, Alfredo L, Giró-i-Nieto X, Rey F. Proyecto de Innovación Docente COM@WEB (COMunicaciones en la WEB). In VIII Simposio Nacional de Tecnologías de la Información y las Comunicaciones en la Educación. SINTICE'07. 2007. pp. 113–120.  (434.45 KB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 MB)

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