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Coll-Pol M. The Importance of Time in Visual Attention Models. McGuinness K, Giró-i-Nieto X. 2018.  (5.46 MB)
Comas A. Exploring Methods for Enhancing Linear Prediction of Video Sequences. Camps O, Giró-i-Nieto X. 2019.
Comas D, Singh R, Ortega A, Marqués F. Unbalanced multiple description video coding based on a rate-distortion optimization. Eurasip Journal on Applied Signal Processing. 2003;2003:81–90.
Combalia M, Codella NCF, Rotemberg V, Helba B, Vilaplana V, Reiter O, et al.. BCN20000: Dermoscopic Lesions in the Wild. In International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019. 2019.
Combalia M, Hueto F, Puig S, Malvehy J, Vilaplana V. Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. In CVPR 2020, ISIC Skin Image Analysis Workshop. 2020.
Combalia M, Podlipnik S, Hernandez C, García S, Ficapal J, Burgos J, et al.. Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). In Press.
Combalia M, Vilaplana V. 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.
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.
Combalia M, Vilaplana V. 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.
Combalia M, Vilaplana V. 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.
Compri M. Multi-label Remote Sensing Image Retrieval based on Deep Features. Demir B, Giró-i-Nieto X. 2017.  (1.99 MB)
Correa P, Marqués F, Marichal X, Macq B. 3D posture estimation using geodesic distance maps. Multimedia tools and applications. 2008;38:365–384.
Correa P, Czyz J, Marqués F, Umeda T, Marichal X, Macq B. Bayesian approach for morphology based 2D human motion capture. IEEE transactions on multimedia. 2007;9:754–765.
Correa P, Czyz J, Umeda T, Marqués F, Marichal X, Macq B. Silhouette-based Probabilistic 2D Human Motion Estimation for Real-Time Applications. In IEEE International Conference on Image Processing. 2005. pp. 836–839.
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.
Cortés S. Interfaz gráfica de usuario para la búsqueda de imágenes basada en imágenes. Giró-i-Nieto X. 2009.  (2.84 MB)
Cortés S. GOS: búsqueda visual de imágenes. Giró-i-Nieto X, Marqués F. Buran. 2010 pp. 36–44. Report No.: 25.
de Craene M, Macq B, Marqués F, Salembier P, Warfield S. Unbiased group-wise alignment by iterative central tendency estimations. Mathematical modeling of natural phenomena. 2008;3:2–32.
Creus R. Unsupervised skill learning from pixels. Nieto JJosé, Giró-i-Nieto X. 2021.  (19.61 MB)
Creus R, Nieto JJosé, Giró-i-Nieto X. PixelEDL: Unsupervised Skill Discovery and Learning from Pixels. In CVPR 2021 Embodied AI Workshop. 2021.  (1.55 MB)
Cuadras C, Valero S, Salembier P, Chanussot J. Some measures of multivariate association relating two spectral data sets. In 19th International Conference on Computational Statistics, COMSTAT 2010. Paris, France; 2010.
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)
Cumplido-Mayoral I, Garcia-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al.. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration. In Alzheimer's Association International Conference. In Press.
Cumplido-Mayoral I, Salvadó G, Shekari M, Falcon C, Alomà MMilà, Baizán ANiñerola, et al.. Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease. In Alzheimer's Association International Conference. 2021.
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.

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