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. 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. . Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019.
. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
. 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.
. Deep Learning CT segmentation for dosimetry in postoperative endometrial carcinoma treatment. In XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Cartagena: Ediciones UPCT. Universidad Politécnica de Cartagena; 2023.
. 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;.
. Automatic Reminiscence Therapy for Dementia. In ACM International Conference on Multimedia Retrieval (ICMR). Dublin, Ireland: ACM; 2020. (4.37 MB)
(4.37 MB). A Generative Dialogue System for Reminiscence Therapy. . 2019. (4.89 MB)
(4.89 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). Exploring Hyperfine Coupling in Molecular Qubits. Chemical Science. 2025;(16):11291 - 11303. (8.11 MB)
(8.11 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.