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Romero-Lopez A, Burdick J, Giró-i-Nieto X, Marques O. Skin Lesion Classification from Dermoscopic Images using Deep Learning. In The 13th IASTED International Conference on Biomedical Engineering (BioMed 2017). Innsbruck Austria; 2017.  (648.62 KB)
Alcoverro M, Casas J, Pardàs M. Skeleton and shape adjustment and tracking in multicamera environments. In 6th International Conference AMDO 2010. 2010. pp. 88–97.
Alcoverro M, Casas J, Pardàs M. Skeleton and shape adjustment and tracking in multicamera environments. In Lecture notes in computer science. Berlin / Heidelberg: Springer; 2010. pp. 88–97.
Salembier P. Size-sensitive multiresolution decomposition of images with rank. Signal processing. 1992;27:205–241.
Torres L, Lleida E, Casas J. Sistemas Analógicos y Digitales de Televisión. Barcelona: Edicions UPC; 1993.
Gil-Moreno A. Sistema de gestió de vídeo off-line per una smart-room. Casas J. 2007.  (4.54 MB)
Salgueiro L, Marcello J, Vilaplana V. Single-image super-resolution of Sentinel-2 low resolution bands with residual dense convolutional neural networks. Remote Sensing. In Press;.
E. S, Gasull A, Moreno A, Vallverdu F, Salavedra J, Oliveras A. Simulación digital de señales y sistemas analógicos. In III Congreso de Usuarios de MATLAB. 1999. pp. 67–76.
Linardos P, Mohedano E, Nieto JJosé, O'Connor N, Giró-i-Nieto X, McGuinness K. Simple vs complex temporal recurrences for video saliency prediction. In British Machine Vision Conference (BMVC). Cardiff, Wales / UK.: British Machine Vision Association; 2019.  (1.79 MB)
Nadeu C, Oliveras A, Mariño J. Simbad:a tool for speech analysis and synthesis. In IASTED INT.CONF.SIGNAL PROC.&DIG.FILT. 1990.
Correa P, Czyz J, Umeda T, Marqués F, Marichal X, Macq B. Silhouette-based Probabilistic 2D Human Motion Estimation for Real-Time Applications. In IEEE International Conference on Image Processing. 2005. pp. 836–839.
Duarte A, Albanie S, Giró-i-Nieto X, Varol G. Sign Language Video Retrieval with Free-Form Textual Queries. In Submitted.  (17.97 MB)
Giró-i-Nieto X. Sign Language Translation and Production Multimedia and Multimodal Challenges for All. 2021.
Nespereira A. Siamese Convolutional Neural Network for Learning Object Similarities in RGB-D Images. Husain F, Adamek T, Giró-i-Nieto X. 2016.
Salembier P, Liesegang S, López-Martínez C. Ship Detection in SAR Images Based on Maxtree Representation and Graph Signal Processing. IEEE Transactions on Geoscience and Remote Sensing. 2019;57(5):2709 - 2724.  (5.5 MB)
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67.
Casamitjana A, Petrone P, Molinuevo JL, Gispert JD, Vilaplana V. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study. IEEE Journal of Biomedical and Health Informatics. 2019;.
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. In Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI. Granada, Spain; 2018.
Salvador J, Casas J. Shape from Probability Maps with Image-Adapted Voxelization. In ECCV Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications (M2SFA2). 2008. pp. 1–12.
Landabaso J-L, Lizcano L, Pardàs M. Shape from Inconsistent Silhouette for Free Viewpoint Video. In IEEE International Conference on Image Processing. 2008. pp. 213–216.
Landabaso J-L, Pardàs M, Casas J. Shape from inconsistent silhouette. Computer vision and image understanding. 2008;112(2):210–224.
Haro G, Pardàs M. Shape from incomplete silhouettes based on the reprojection error. Image and vision computing. 2010;28:1354–1368.
Marqués F, Gasull A. Shape and location coding for contour images. In PROC. OF THE 1993 PICTURE CODING SYMPOSIUM. 1993. pp. 61–63.
Pan J, McGuinness K, Sayrol E, O'Connor N, Giró-i-Nieto X. Shallow and Deep Convolutional Networks for Saliency Prediction. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Las Vegas, NV, USA: Computer Vision Foundation / IEEE; 2016.  (466.13 KB)
Xu L-Q, Landabaso J-L, Pardàs M. Shadow removal with blob-based Morphological Reconstruction for Error Corretion. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2005. pp. 729–732.

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