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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.
Carné-Herrera M. Detect Snap Points in Egocentric Images with Physiological Signals. Gurrin C, Giró-i-Nieto X. 2016.  (4.63 MB)
Suau X, Ruiz-Hidalgo J, Casas J. Detecting End-Effectors on 2.5D data using Geometric Deformable Models: Application to Human Pose Estimation. Computer Vision and Image Understanding (CVIU). 2013;117(3).  (1.44 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).
Asteriadis S, Nikolaidis N, Pitas I, Pardàs M. Detection of facial characteristics based on edge information. In International Conference on Computer Vision Theory and Applications, VISAPP 2007. 2007. pp. 247–250.
Giró-i-Nieto X, Marqués F. Detection of Semantic Entities using Description Graphs. In 4th European Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS). London, England; 2003.  (223.48 KB)
Giró-i-Nieto X, Marqués F. Detection of Semantic Objects using Description Graphs. In IEEE International Conference on Image Processing. Genova, Italy; 2005.  (743.52 KB)
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)
García-Gómez P. Development of a multimodal imaging system based on LIDAR. Royo S, Casas J. Optics and Optometry Department. Universitat Politècnica de Catalunya; 2021.
Sayrol E, Soriano M, Fernandez M, Casanelles J, Tomàs J. Development of a platform offering video copyright protection and security against illegal distribution. In Security, Steganography, and Watermarking of Multimedia Contents. 2005. pp. 76–83.
Aguilar M, Alcober J, Altes J, Aragones X, Artigas D, Bardes D, et al.. Diccionari de Telecomunicacions. 2007.
Salembier P, O'Connor N, Correa P, Ward L. The DICEMAN description schemes for still images and video sequences. In Workshop on Image Analysis for Multimedia Application Services, WIAMIS’99. Berlin, Germany; 1999. pp. 25–34.  (718.69 KB)
Roisman A, Navarro A, Clot G, Castellano G, Gonzalez-Farre B, Pérez-Galan P, et al.. Differential expression of long non-coding RNAs related to proliferation and histological diversity in follicular lymphomas. British Journal of Haematology. 2019;184(3):373-383.  (980.9 KB)
Giró-i-Nieto X, Salla R, Vives X. Digimatge, a Rich Internet Application for video retrieval from a Multimedia Asset Management system. In 11th ACM SIGMM International Conference on Multimedia Information Retrieval. 2010.  (978.9 KB)
Temprana-Salvador J, López-García P, Vives JCastellví, de Haro L, Ballesta E, Abusleme MRojas, et al.. DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals - Planification, Implementation and Preliminary Results. Diagnostics. 2022;12(4).
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.
Nieto JJosé. Discovery and Learning of Navigation Goals from Pixels in Minecraft. Campos V, Giró-i-Nieto X. 2021.  (16.15 MB)
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.
Lin X, Campos V, Giró-i-Nieto X, Torres J, Canton-Ferrer C. Disentangling Motion, Foreground and Background Features in Videos. In CVPR 2017 Workshop Brave New Motion Representations. 2017.  (370.64 KB)
Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.  (17.1 MB)
Salembier P, Lamnabhi M. Dispositif d'Amélioration du Décodage de Signaux Numériques lors de Transmission en Modulation de Fréquence. 1987.
Salembier P, Lamnabhi M. Dispositif de Réception de Signaux Numériques Codés et Modulés en Fréquences. 1988.
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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