Search Publication
] . Towards a Bayesian Approach to Robust Finding Correspondances in Multiple View Geometry Environments. In Computational Science – ICCS 2005. Berlin / Heidelberg: Springer; 2005. pp. 281–289.
. Head Orientation Estimation using Particle Filtering in Multiview Scenarios. In CLEAR'07 Second International Evaluation Workshop on Classification of Events, Activities and Relationships. 2007. pp. 1–11.
. 3D Human Action Recognition In Multiple View Scenarios. In 2ones Jornades UPC de Investigación en Automática, Visión y Robótica. 2006. pp. 1–5.
. Marker-based human motion capture in multi-view sequences. Eurasip journal on advances in signal processing. 2010;2010:1–11.
. Rich Internet Application for the Semi-Automatic Annotation of Semantic Shots on Keyframes. . 2011. 
(6.58 MB)
(6.58 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). Exploring Hyperfine Coupling in Molecular Qubits. Chemical Science. 2025;(16):11291 - 11303. (8.11 MB)
(8.11 MB). Predicting Media Interestingness. . 2017. (1.78 MB)
(1.78 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). 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). Visual Memorability for Egocentric Cameras. . 2016. (98.86 MB)
(98.86 MB). Detect Snap Points in Egocentric Images with Physiological Signals. . 2016. (4.63 MB)
(4.63 MB). 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). 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.
. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. . Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019.
. MRI-Based Screening of Preclinical Alzheimer's Disease for Prevention Clinical Trials. Journal of Alzheimer's Disease. 2018;64(4).
. 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.
. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
. 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.
. 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;.