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Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, et al.. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
Calderero F, Marqués F. Image Analysis and Understanding Based on Information Theoretical Region Merging Approaches for Segmentation and Cooperative Fusion. In Handbook of Research on Computational Intelligence for Engineering, Science, and Business. IGI Global; 2012. pp. 75-121.
Sayrol E, Nikias C, Gasull A. Image analysis using higher-order statistics and the radon transfrom. In IEEE SIGNAL PROCESSING WORKSHOP ON HIGH-ORDER-STATISTICS. 1993. pp. 76–80.
Sayrol E, Gasull A. Image analysis using higher-order statistics and the random transfor. In WORKSHOP ON HIGHER-ORDER STATISTICS. 1993.
Bellver M. Image and Video Object Segmentation in Low Supervision Scenarios. Torres J, Giró-i-Nieto X. Computer Architectures. [Barcelona]: Universitat Politecnica de Catalunya; 2021.
Giró-i-Nieto X. Image and Video Object Segmentation with Low Supervision. 2020.
Canton-Ferrer C, Pardàs M, Vilaplana V. Image and video processing tools for HCI. In Multimodal signal processing: theory and applications for human-computer interaction. 2009. pp. 93–118.
Casas J. Image compression based on perceptual coding techniques. Torres L. Signal Theory and Communications. [download link]: Universitat Politècnica de Catalunya (UPC); 1996. p. 178.
Rolón J, Salembier P, Alameda X. Image compression with generalized lifting and partial knowledge of the signal pdf. In IEEE International Conference on Image Processing, ICIP 2008. San Diego, USA; 2008. pp. 250–254.  (830.94 KB)
Sayrol E, Gasull A, Nikias C. Image Restoration using the W-Slice Method. IEEE transactions on image processing. 1995;4(8):1174–1181.
Marqués F, Molina C. Image Segmentation and Object Tracking Method and Corresponding System. International; 1997.
Pont-Tuset J. Image Segmentation Evaluation and Its Application to Object Detection. Marqués F. [Barcelona]: Universitat Politècnica de Catalunya, BarcelonaTech; 2014.  (48.44 MB)
Giró-i-Nieto X, Ventura C. Image Segmentation with Deep Learning. 2020.
Salembier P, Garrido L, García D. Image sequence analysis and merging algorithms. In International Workshop on Very Low Bit-rate Video, VLBV'97. Linköping, Sweden; 1997. pp. 1–8.  (366.8 KB)
Salvador J, Casas J. Image-adapted voxelization in multicamera settings. In International Workshop on Multimedia Signal Processing. 2006. pp. 161–165.
Casas J, Salvador J. Image-based Multi-view Scene Analysis using 'Conexels'. In HCSNet Workshop on the Use of Vision in Human-Computer Interaction (VisHCI 2006). 2006. pp. 203–212.  (252 KB)
Ventura C. Image-Based Query by Example Using MPEG-7 Visual Descriptors. Marqués F, Pont-Tuset J. 2010.
Romero-Lopez A, Burdick J, Giró-i-Nieto X, Marques O. The Impact of Segmentation on the Accuracy and Sensitivity of a Melanoma Classifier based on Skin Lesion Images. In Annual Meeting of the Society of Imaging Informatics in Medicine (SIIM). Pittsburgh, PA, USA: Society of Imaging Informatics for Medicine; 2017.  (433.28 KB)
Arazo E. The impact of visual saliency prediction in image classification. McGuinness K, Mohedano E, Giró-i-Nieto X. 2017.  (828.66 KB)
Bragos R, Pegueroles J, Alarcón E, Camps A, Sardà J, Consolacion C, et al.. Implementation and first results of the Introduction to Engineering course in the ETSETB-UPC new degrees. In II Conferencia Internacional en Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería. 2011. pp. 1–4.
Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, Podlipnik S, et al.. Implementation of personalized medicine in cutaneous melanoma patients aided by artificial intelligence. In 10th World Congress of2 Melanoma / 17th EADO Congress. 2021.
Coll-Pol M. The Importance of Time in Visual Attention Models. McGuinness K, Giró-i-Nieto X. 2018.  (5.46 MB)
Campos V, Giró-i-Nieto X, Torres J. Importance Weighted Evolution Strategies. In NeurIPS 2018 Deep Reinforcement Learning Workshop . Montreal, Quebec; 2018.  (362.25 KB)
Gudmundsson S, Pardàs M, Casas J, Sveinsson J, Aanaes H, Larsen R. Improved 3D reconstruction in smart-room environments using ToF imaging. Computer vision and image understanding. 2010;114(12):1376–1384.
Valero S, Salembier P, Chanussot J, Cuadres C. Improved binary partition tree construction for hyperspectral images: application to object detection. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011. Vancouver, Canada; 2011. pp. 2515–2518.  (334.11 KB)