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] . Biological brain-age prediction using Machine Learning on neuroimaging data: Links with pathophysiological mechanisms, dementia risk factors and cognitive decline. . Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra. 2024.
. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration. In Alzheimer's Association International Conference. 2022.
. Large Scale Content-Based Video Retrieval with LIvRE. In 14th International Workshop on Content-based Multimedia Indexing (CBMI). Bucharest, Romania: IEEE; 2016. 
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(909.81 KB). LIvRE: A Video Extension to the LIRE Content-Based Image Retrieval System. . 2015. (8.3 MB)
(8.3 MB). LEMoRe: A Lifelog Engine for Moments Retrieval at the NTCIR-Lifelog LSAT Task. In The 12th NTCIR Conference, Evaluation of Information Access Technologies. Tokyo, Japan: National Institute of Informatics (NII); 2016. (3.22 MB)
(3.22 MB). Single image defogging and evaluation with deep neural networks without the need of ground truth. In SPIE Automated Visual Inspection and Machine Vision V. Munich: Proc. SPIE 12623; 2023. (3.68 MB)
(3.68 MB). Gradient-Based Metrics for the Evaluation of Image Defogging. World Electric Vehicle Journal. 2023;14(9). (4.92 MB)
(4.92 MB). Prefetching and caching strategies for remote and interactive browsing of JPEG2000 images. IEEE transactions on image processing. 2007;16:1339–1354.
. Pre-fetching strategies for remote and interactive browsing of JPEG2000 images. In International Conference on Image Processing. 2006. pp. 3203–3206.
. How does digital cinema compress images?. In: . Applied signal processing. 2009. pp. 361–410.
. Neighborhood Filters and the Recovery of 3D Information. In Handbook of Mathematical Methods in Imaging. 2nd ed. Springer Verlag; 2015. pp. 1645-1673.
. Neighborhood Filters and the Recovery of 3D Information. In Handbook of Mathematical Methods in Imaging. Springer Verlag; 2011. pp. 1203-1229.
. The Memory Jog Service. In Computers in the Human Interaction Loop. London: Springer; 2009. pp. 207–234.
. Introduction to the special issue: Egocentric Vision and Lifelogging. Journal of Visual Communication and Image Representation. 2018;. (116.21 KB)
(116.21 KB). Perceptual filtering with connected operators and image inpainting. In Proc. of International Symposium on Mathematical Morphology, ISMM 2007. Rio de Janeiro, Brazil; 2007. pp. 227–238. (1.6 MB)
(1.6 MB). Geometrical Filtering Scheme with Connected Operators and Image Inpainting. In SPIE Visual Communcations and Image Processing 2007. San Jose, CA, USA; 2007. pp. 1–14. (1.64 MB)
(1.64 MB). Exploiting T-junctions for depth segregation in single images. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009. Taipei, Taiwan; 2009. (490.04 KB)
(490.04 KB). Hierarchical region-based representation for segmentation and filtering with depth in single images. In IEEE International Conference on Image Processing, ICIP 2009. Cairo, Egypt; 2009. (326.41 KB)
(326.41 KB). Monocular Depth by Nonlinear Diffusion. In IEEE Sixth Indian Conference on Computer Vision, Graphics & Image Processing, ICVGIP 2008. Bhubaneswar, India; 2008. pp. 140–148. (664.12 KB)
(664.12 KB). Monocular Depth Estimation for Image Segmentation and Filtering. . Universitat Politècnica de Catalunya (UPC); 2009.
. Experimental evaluation of a MIMO radar performance for ADAS application. Telecom. 2024;5(3):508-521. (1.15 MB)
(1.15 MB). Hiding Images in their Spoken Narratives. . 2022. (15.23 MB)
(15.23 MB). Interpretability of Deep Learning Models. . 2019.
. Neural ADMIXTURE: rapid population clustering with autoencoders. Nature Computational Science. 2023;.