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Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.
Bellver M, Maninis K-K, Pont-Tuset J, Torres J, Giró-i-Nieto X, van Gool L. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017.  (1 MB)
Bellver M. Detection-aided medical image segmentation using deep learning. Maninis K-K, Pont-Tuset J, van Gool L, Giró-i-Nieto X, Torres J. 2017.  (7.07 MB)
Benitez AB, Martinez JM, Rising H, Salembier P. Description of a Single Multimedia Document. In Introduction to the mpeg-7: multimedia content description interface. B. S. Manjunath, P. Salembier, T. Sikora (Eds.). Wiley; 2002. pp. 111–138.
Broquetas A, Toronjo C, Gasull A, Fábregas FX, Moreno V, Herrero M. Detección de vertidos de petróleo en el mar a partir de imágenes SAR. In XV Simposium Nacional de la Unión Científica Internacional de Radio. 2000. pp. 327–328.
Broquetas A, Hernando J, Marqués F, Romeu J. Definició d'un Master Internacional de Recerca: la proposta del Departament de Teoria del Senyal i Comunicacions. In Jornada de reflexión y trabajo sobre el modelo docente de la UPC en el Espacio Europeo de ecuación Superior (EEES). 2004. pp. 1–3.
C
Campos V. Deep Learning that Scales: Leveraging Compute and Data. Torres J, Giró-i-Nieto X. Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020.  (8.55 MB)
Campos V, Salvador A, Giró-i-Nieto X, Jou B. Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. In 1st International Workshop on Affect and Sentiment in Multimedia. Brisbane, Australia: ACM; 2015.  (506.22 KB)
Campos V, Sastre F, Yagües M, Bellver M, Giró-i-Nieto X, Torres J. Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. In International Conference on Computational Science (ICCS). Zurich, Switzerland: Elsevier; 2017.  (576.67 KB)
Carné-Herrera M. Detect Snap Points in Egocentric Images with Physiological Signals. Gurrin C, Giró-i-Nieto X. 2016.  (4.63 MB)
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
Casas J, Torres L. Diseño de filtros de imagen con funciones de transferencia. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 965–969.
Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.  (17.1 MB)
Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, et al.. Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.
Correa P. Dual morphology-based and Bayesian approach for markerless human motion capture in natural interaction environments. Marqués F, Macq B. Université Catholique de Louvain (UCL); 2006.
Cuadras C, Valero S, Cuadras D, Salembier P, Chanussot J. Distance-based measures of association with applications in relating hyperspectral images. Communications in Statistics - Theory and Method. 2012;41:2342–2355.  (296.22 KB)

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