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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.
. 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,. Submitted.
. 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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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.
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LTA 2017: The Second Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Mountain View, California USA: ACM; 2017.
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LTA 2016 - The First Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016.
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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.
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A Video Database for Analyzing Affective Physiological Responses. . 2019.
(23.66 MB)
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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)
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Cost-Effective Active Learning for Melanoma Segmentation. In ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017.
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Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In International Conference on Articulated Motion and Deformable Objects. Palma, Spain; 2018.
. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019.
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Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017.
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Curriculum Learning for Recurrent Video Object Segmentation. In ECCV 2020 Women in Computer Vision Workshop. 2020.
(1.76 MB)
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