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. Comparative Analysis and Interpretability of Survival Models for Melanoma Prognosis. Computers in Biology and Medicine. 2025;190.
. Implementation of personalized medicine in malignant melanoma patients aided by artificial intelligence. . Signal Theory and Communications. 2024.
. Sentinel lymph node status prediction using self-attention networks and contrastive learning from routine histology images of primary tumours. In Medical Imaging with Deep Learning MIDL 2022. 2022.
. Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop). 2024.
. Interpreting Machine Learning Models for Survival Analysis: A Study of Cutaneous Melanoma Using the SEER Database. In Explainable Artificial Intelligence and Process Mining Applications for Healthcare,. Springer, Cham; 2024.
. Interpreting Machine Learning models for Survival Analysis: A study of Cutaneous Melanoma using the SEER Database. In XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023). Portoroz, Slovenia; 2023.
. 3D shape from multi-camera views by error projection minimization. In 10th Workshop on Image Analysis for Multimedia Interactive Services. 2010. pp. 250–253.
. Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds. In Neural Information Processing Systems NIPS. Montreal: NIPS; 2007. 
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(702.08 KB). Shape from incomplete silhouettes based on the reprojection error. Image and vision computing. 2010;28:1354–1368.
. On the non-uniform complexity of brain connectivity. In 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008). Paris: IEEE; 2008. (2.2 MB)
(2.2 MB). LTA 2017: The Second Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Mountain View, California USA: ACM; 2017. (309.94 KB)
(309.94 KB). LTA 2016 - The First Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016. (385.75 KB)
(385.75 KB). Retinal lesions segmentation using CNNs and adversarial training. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.
. TOF Imaging in Smart Room Environments towards Improved People Tracking. In Computer Vision and Pattern Recognition: Workshop on Time of Flight based Computer Vision (CVPR/TOF-CV). 2008. pp. 1–6.
. Model-based hand gesture tracking in ToF image sequences. Lecture notes in computer science. 2010;6169/2010:118–127.
. Improved 3D reconstruction in smart-room environments using ToF imaging. Computer vision and image understanding. 2010;114(12):1376–1384.
. Pyxel, una llibreria per a l’anotació automàtica de fotografies. . 2015. (1.12 MB)
(1.12 MB). A Video Database for Analyzing Affective Physiological Responses. . 2019. (23.66 MB)
(23.66 MB). Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In Articulated Motion and Deformable Objects. Springer International Publishing; 2018. pp. 53-62.
. Active Deep Learning for Medical Imaging Segmentation. . 2017. (2.84 MB)
(2.84 MB). Cost-Effective Active Learning for Melanoma Segmentation. In ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017. (521.82 KB)
(521.82 KB). Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In International Conference on Articulated Motion and Deformable Objects. Palma, Spain; 2018.