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. Connected Operators on 3D data for human body analysis. In 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2011. pp. 9–14.
. Connectivity filters for image sequences. In IMAGE ALGEBRA AND MORPHOLOGICAL IMAGE PROCESSING. SPIE. 1992. pp. 318–329.
. Context-unsupervised adversarial network for video sensors. Sensors. 2022;22:3171.
. Contour detection using binary partition trees. In IEEE International Conference on Image Processing. 2010. pp. 1609–1612.
. A contour-based approach to binary shape coding using a multiple grid chain code. Signal processing: image communication. 2000;15:585–599.
. Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours. In Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). 2022.
. Cooperative background modelling using multiple cameras towards human detection in smart-room. In 14th European Signal Processing Conference. 2006. pp. 1–5.
. Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks. Image and Vision Computing. 2019;83-84. 
(3.95 MB)
(3.95 MB). Deep learning-based methodology for smoke plume segmentation of wildfire images. In 14th International Symposium on Fire Safety Science (IAFSS2023). Tsukuba, Japan: International Association for Fire Safety Science (IAFSS); 2023. (144.69 KB)
(144.69 KB). Deep learning-based methodology for smoke plume segmentation of wildfire images. In 14th International Symposium on Fire Safety Science (IAFSS2023). Tsukuba, Japan: International Association for Fire Safety Science (IAFSS); 2023. (144.69 KB)
(144.69 KB). Deep learning-based methodology for smoke plume segmentation of wildfire images. In 14th International Symposium on Fire Safety Science (IAFSS2023). Tsukuba, Japan: International Association for Fire Safety Science (IAFSS); 2023. (144.69 KB)
(144.69 KB). Deep learning-based methodology for smoke plume segmentation of wildfire images. In 14th International Symposium on Fire Safety Science (IAFSS2023). Tsukuba, Japan: International Association for Fire Safety Science (IAFSS); 2023. (144.69 KB)
(144.69 KB). Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8). (4.75 MB)
(4.75 MB). Depth order estimation for video frames using motion occlusions. IET Computer Vision. 2014;8(2):152-160. (910.25 KB)
(910.25 KB). Depth Ordering on Image Sequences Using Motion Occlusions. In IEEE Int. Conf. in Image Processing, ICIP 2012. Orlando, Florida, USA; 2012. (5.42 MB)
(5.42 MB). Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.
. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
. Detection of facial characteristics based on edge information. In International Conference on Computer Vision Theory and Applications, VISAPP 2007. 2007. pp. 247–250.
. Detection of facial characteristics based on edge information. In International Conference on Computer Vision Theory and Applications, VISAPP 2007. 2007. pp. 247–250.
. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017. (1 MB)
(1 MB). Detection-aided medical image segmentation using deep learning. . 2017. (7.07 MB)
(7.07 MB). Diccionari de Telecomunicacions. 2007.
. Diccionari de Telecomunicacions. 2007.
. Diccionari de Telecomunicacions. 2007.
. Diccionari de Telecomunicacions. 2007.