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(2.84 MB). GOS: búsqueda visual de imágenes. . Buran. 2010 pp. 36–44. Report No.: 25.
. 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.
. Multi-label Remote Sensing Image Retrieval based on Deep Features. . 2017. (1.99 MB)
(1.99 MB). Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. In CVPR 2020, ISIC Skin Image Analysis Workshop. 2020.
. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018.
. BCN20000: Dermoscopic Lesions in the Wild. In International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019. 2019.
. 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.
. Unbalanced multiple description video coding based on a rate-distortion optimization. Eurasip Journal on Applied Signal Processing. 2003;2003:81–90.
. The Importance of Time in Visual Attention Models. . 2018. (5.46 MB)
(5.46 MB). EgoMon Gaze and Video Dataset for Visual Saliency Prediction. . 2016. (1.48 MB)
(1.48 MB). A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8). (9.94 MB)
(9.94 MB). A Motion-based Binary Partition Tree approach to Video Object Segmentation. In IEEE International Conference on Image Processing. 2005. pp. 430–433.
. Hierarchical Partition-Based Representations of Motion-Coherent Regions For Video Object Segmentation. . Universitat Politècnica de Catalunya (UPC); 2007.
. Trajectory tree as an object-oriented hierarchical representation for video. IEEE transactions on circuits and systems for video technology. 2009;19:547–560.
. Masked V-Net: an approach to brain tumor segmentation. In Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . 2017.
. Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. . 2016. (4.52 MB)
(4.52 MB)