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. Implementation of personalized medicine in cutaneous melanoma patients aided by artificial intelligence. In 10th World Congress of2 Melanoma / 17th EADO Congress. In Press.
. Image and Video Object Segmentation in Low Supervision Scenarios. . Computer Architectures. [Barcelona]: Universitat Politecnica de Catalunya; 2021.
. Integrating low-level motion cues in deep video saliency. . 2019. 
(10.04 MB)
(10.04 MB). Interpretability of Deep Learning Models. . 2019.
. Inverse Cooking: Recipe Generation from Food Images. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019.
. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
. The Importance of Time in Visual Attention Models. . 2018. (5.46 MB)
(5.46 MB). Importance Weighted Evolution Strategies. In NeurIPS 2018 Deep Reinforcement Learning Workshop . Montreal, Quebec; 2018. (362.25 KB)
(362.25 KB). An Interactive Lifelog Search Engine for LSC2018. In Lifelog Search Challenge workshop at ICMR2018. Yokohama, Japan: ACM; 2018. (584.27 KB)
(584.27 KB). An interactive Lifelog Search Engine for LSC2018. . 2018. (2.75 MB)
(2.75 MB). Introduction to the special issue: Egocentric Vision and Lifelogging. Journal of Visual Communication and Image Representation. 2018;. (116.21 KB)
(116.21 KB). The Impact of Segmentation on the Accuracy and Sensitivity of a Melanoma Classifier based on Skin Lesion Images. In Annual Meeting of the Society of Imaging Informatics in Medicine (SIIM). Pittsburgh, PA, USA: Society of Imaging Informatics for Medicine; 2017. (433.28 KB)
(433.28 KB). The impact of visual saliency prediction in image classification. . 2017. (828.66 KB)
(828.66 KB). Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016. (2.04 MB)
(2.04 MB). Improving Object Segmentation by using EEG signals and Rapid Serial Visual Presentation. Multimedia Tools and Applications. 2015;. (3.86 MB)
(3.86 MB). Improving Spatial Codification in Semantic Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. Quebec City: IEEE; 2015. (18.81 MB)
(18.81 MB). Improving Spatial Codification in Semantic Segmentation (Supplementary Material). 2015 . (18.81 MB)
(18.81 MB). Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
(2.13 MB). Image Segmentation Evaluation and Its Application to Object Detection. . [Barcelona]: Universitat Politècnica de Catalunya, BarcelonaTech; 2014. (48.44 MB)
(48.44 MB). Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. In 2014 TRECVID Workshop. Orlando, Florida (USA): National Institute of Standards and Technology (NIST); 2014. (2.45 MB)
(2.45 MB). An investigation of eye gaze tracking utilities in image object recognition. . 2014. (1.63 MB)
(1.63 MB). Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces. Multimedia Tools and Applications. 2013;. (1.97 MB)
(1.97 MB). Investigating EEG for Saliency and Segmentation Applications in Image Processing. . 2013. (332.54 KB)
(332.54 KB)