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Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
. Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). 2022.
. Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.
. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281.
. Multi-label Remote Sensing Image Retrieval based on Deep Features. . 2017.
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3D posture estimation using geodesic distance maps. Multimedia tools and applications. 2008;38:365–384.
. Silhouette-based Probabilistic 2D Human Motion Estimation for Real-Time Applications. In IEEE International Conference on Image Processing. 2005. pp. 836–839.
. Dual morphology-based and Bayesian approach for markerless human motion capture in natural interaction environments. . Université Catholique de Louvain (UCL); 2006.
. Bayesian approach for morphology based 2D human motion capture. IEEE transactions on multimedia. 2007;9:754–765.
. Interfaz gráfica de usuario para la búsqueda de imágenes basada en imágenes. . 2009.
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GOS: búsqueda visual de imágenes. . Buran. 2010 pp. 36–44. Report No.: 25.
. Unbiased group-wise alignment by iterative central tendency estimations. Mathematical modeling of natural phenomena. 2008;3:2–32.
. PixelEDL: Unsupervised Skill Discovery and Learning from Pixels. In CVPR 2021 Embodied AI Workshop. 2021.
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Unsupervised skill learning from pixels. . 2021.
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Some measures of multivariate association relating two spectral data sets. In 19th International Conference on Computational Statistics, COMSTAT 2010. Paris, France; 2010.
. Distance-based measures of association with applications in relating hyperspectral images. Communications in Statistics - Theory and Method. 2012;41:2342–2355.
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Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
. The mediating role of neuroimaging-derived biological brain age between risk factors for dementia and cognitive decline in middle/late-aged asymptomatic individuals: a cohort study. The Lancet Healthy Longevity. 2024;.
. Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum. In Alzheimer’s Association International Conference (AAIC). Amsterdam, Netherlands; 2023.
. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
. Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers. Molecular psychiatry. In Press;.
. Brain-age prediction and its associations with glial and synaptic CSF markers. In Alzheimer's Association International Conference. Amsterdam, Netherlands; 2023.
. Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease. In Alzheimer's Association International Conference. 2021.
. 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.
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