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Cumplido-Mayoral I, Sánchez-Benavides G, Alomà MMilà, Falcon C, Cacciaglia R, Minguillon C, et al.. Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers. Molecular psychiatry. 2025;.
Cumplido-Mayoral I, Mila-Aloma M, Lorenzini L, Wink AMeije, Mutsaerts H, Haller S, et al.. Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex. In 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD). San Francisco, USA; 2022.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al.. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration stratified by sex. eLife. 2023;12.
Cumplido-Mayoral I. Biological brain-age prediction using Machine Learning on neuroimaging data: Links with pathophysiological mechanisms, dementia risk factors and cognitive decline. Vilaplana V, Gispert JD. Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra. 2024.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al.. 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.
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de Oliveira-Barra G, Lux M, Giró-i-Nieto X. Large Scale Content-Based Video Retrieval with LIvRE. In 14th International Workshop on Content-based Multimedia Indexing (CBMI). Bucharest, Romania: IEEE; 2016.  (909.81 KB)
de Oliveira-Barra G. LIvRE: A Video Extension to the LIRE Content-Based Image Retrieval System. Giró-i-Nieto X, Lux M. 2015.  (8.3 MB)
de Oliveira-Barra G, Giró-i-Nieto X, Cartas-Ayala A, Radeva P. 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)
de-Mas-Giménez G, García-Gómez P, Casas J, Royo S. 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)
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Riu J, Casas J, et al.. Multimodal data acquisition prototype for autonomous driving in adverse weather conditions. In XIV Reunión OptoElectrónica (OPTOEL 2025). Terrassa, Spain: OPTOEL; 2025.  (745.34 KB)
de-Mas-Giménez G, García-Gómez P, Casas J, Royo S. Gradient-Based Metrics for the Evaluation of Image Defogging. World Electric Vehicle Journal. 2023;14(9).  (4.92 MB)
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Casas J, Royo S. Multimodal sensing prototype for robust autonomous driving under adverse weather conditions. In SPIE Optical Metrology: Optical Measurement Systems for Industrial Inspection XIV. Munich, Germany: SPIE; 2025.
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.
Descamps A, De Vleeschouwer C, Jacques L, Marqués F. How does digital cinema compress images?. In: Dutoit T, Marqués F. Applied signal processing. 2009. pp. 361–410.
Digne J, Dimiccoli M, Sabater N, Salembier P. Neighborhood Filters and the Recovery of 3D Information. In Handbook of Mathematical Methods in Imaging. 2nd ed. Springer Verlag; 2015. pp. 1645-1673.
Digne J, Dimiccoli M, Salembier P, Sabater N. Neighborhood Filters and the Recovery of 3D Information. In Handbook of Mathematical Methods in Imaging. Springer Verlag; 2011. pp. 1203-1229.
Dimakis N, Soldatos J, Polymenakos L, Sturm J, Neumann J, Casas J. The Memory Jog Service. In Computers in the Human Interaction Loop. London: Springer; 2009. pp. 207–234.
Dimiccoli M, Gurrin C, Crandall D, Giró-i-Nieto X, Radeva P. Introduction to the special issue: Egocentric Vision and Lifelogging. Journal of Visual Communication and Image Representation. 2018;.  (116.21 KB)
Dimiccoli M, Salembier P. 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)
Dimiccoli M, Salembier P. 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)
Dimiccoli M, Salembier P. 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)
Dimiccoli M, Salembier P. 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)
Dimiccoli M, Morel J, Salembier P. 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)
Dimiccoli M. Monocular Depth Estimation for Image Segmentation and Filtering. Salembier P. Universitat Politècnica de Catalunya (UPC); 2009.

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