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. 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.
. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
. 3D Convolutional Neural Networks for Brain Tumor Segmentation. In MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2016. 
(226.04 KB)
(226.04 KB). Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.
. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
. 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;.
. Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds). Cham: Springer; 2018. pp. 381-391.
. 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.
. A Generative Dialogue System for Reminiscence Therapy. . 2019. (4.89 MB)
(4.89 MB). Automatic Reminiscence Therapy for Dementia. In ACM International Conference on Multimedia Retrieval (ICMR). Dublin, Ireland: ACM; 2020. (4.37 MB)
(4.37 MB). Visual Memorability for Egocentric Cameras. . 2016. (98.86 MB)
(98.86 MB). EgoMemNet: Visual Memorability Adaptation to Egocentric Images. Las Vegas, NV, USA: 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016; 2016 . (265.4 KB)
(265.4 KB). Detect Snap Points in Egocentric Images with Physiological Signals. . 2016. (4.63 MB)
(4.63 MB). Assessment of Crowdsourcing and Gamification Loss in User-Assisted Object Segmentation. Multimedia Tools and Applications. 2016;23(75). (5.05 MB)
(5.05 MB). Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates. In 3rd International ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Orlando, Florida (USA); 2014. (1017.73 KB)
(1017.73 KB). Predicting Media Interestingness. . 2017. (1.78 MB)
(1.78 MB). Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes. In Computational Intelligence for Multimedia Understanding. Pisa, Italy: Springer-Verlag; 2012. pp. 172-182. (6.93 MB)
(6.93 MB). Rich Internet Application for the Semi-Automatic Annotation of Semantic Shots on Keyframes. . 2011. (6.58 MB)
(6.58 MB). Towards a low cost multi-camera marker based human motion capture system. In 16th International Conference on Image Processing. 2009. pp. 2581–2584.
. Particle Filtering and Sparse Sampling for Multi-Person 3D Tracking. In IEEE International Conference on Image Processing. 2008. pp. 2644–2647.
. Marker-based human motion capture in multi-view sequences. Eurasip journal on advances in signal processing. 2010;2010:1–11.
. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1.