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Book
Serra J, Salembier P. Mathematical morphology and its applications to signal processing. Barcelona: Universitat Politècnica de Catalunya (UPC); 1993.
Schreer O, Macq J, Niamut O, Ruiz-Hidalgo J, Shirley B, Thallinger G, et al.. Media Production, Delivery and Interaction for Platform Independent Systems. Wiley, ISBN 978-1-118-60533-2; 2014.
Marqués F. Multimodal signal processing: theory and applications for human-computer interaction. 2009.
Book Chapter
Dimakis N, Soldatos J, Polymenakos L, Sturm J, Neumann J, Casas J. The Memory Jog Service. In Computers in the Human Interaction Loop. London: Springer; 2009. pp. 207–234.
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.
Casas J. Morphological Interpolation for Image Coding. In Images, Wavelets and PDEs. Berlin / Heidelberg: Springer; 1996. pp. 295–304.
Casas J, Esteban P, Moreno A, Carrera M. Morphological scheme for morphometric analysis of epidermal biopsy images. In: Serra J, Soille P. Mathematical Morphology and its Applications to Image Processing. Dordrecht: Springer; 1994. pp. 325–331.
Mora L, Vilaplana V. MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Springer International Publishing; 2021. pp. 376-390.
Soriano M, Fernandez M, Sayrol E, Tomàs J, Casanelles J, Pegueroles J, et al.. Multimedia Copyright Protection Platform Demonstrator. In Lecture notes in computer science. 2005. pp. 76–83.
Neumann J, Casas J, Macho D, Ruiz-Hidalgo J. Multimodal Integration of Sensor Network. In Artificial Intelligence Applications and Innovations. Boston: Springer; 2006. pp. 312–323.
Canton-Ferrer C, Salvador J, Casas J, Pardàs M. Multi-Person Tracking Strategies Based on Voxel Analysis. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2008. pp. 91–103.
Navarro S, López-Méndez A, Alcoverro M, Casas J. Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter. In: Perales F, Fisher R, Moeslund T. Lecture Notes in Computer Science: Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer ; 2012. pp. 82-91.
Conference Paper
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.
Petrone P, Vilaplana V, Casamitjana A, Tucholka A, Falcon C, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
Eugenio F, Marcello J, Marqués F. Marine coastal dynamic study using an automatic structure detection and spatial registration tool. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS-03). 2003. pp. 1–3.
Catà M, Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Masked V-Net: an approach to brain tumor segmentation. In Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . 2017.
Morros JR, Vilaplana V, Ruiz-Hidalgo J, Casas J, Gasull A, Marqués F, et al.. Materials transversals per a l'aprenentatge actiu de les matèries de processat d'imatge i vídeo. In Congrés Internacional de Docència Universitària i Innovació (CIDUI). Tarragona, Spain; 2014.  (853.76 KB)
Oliveras A. Maximum likelihood factor analysis in malaria cytokines analysis and modelling. In IEEE International Workshop on Genomic Signal Processing and Statistics. 2009.
Pont-Tuset J, Marqués F. Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation. In Computer Vision and Pattern Recognition (CVPR). 2013.  (909.27 KB)
Ruiz-Hidalgo J, Salembier P. Metadata-based coding tools for hybrid video codecs. In Picture Coding Symposium, PCS 2003. Saint-Malo, France; 2003. pp. 473–477.  (50.67 KB)
López-Méndez A, Gall J, Casas J, van Gool L. Metric Learning from Poses for Temporal Clustering of Human Motion. In British Machine Vision Conference 2012. Guildford, UK; 2012.
Bosio M, Bellot P, Salembier P, Oliveras A. Microarray classification with hierarchical data representation and novel feature selection criteria. In IEEE 12th International Conference on BioInformatics and BioEngineering. Larnaca, Cyprus; 2012.  (513.59 KB)
Huang B, Henry F, Guillemot C, Salembier P. Mode dependent vector quantization with a rate-distortion optimized codebook for residue coding in video compression. In IEEE Int. Conf. on Acoustics Speech and Signal Processing, ICASSP 2015. Brisbane, Australia: IEEE; 2015.  (287.4 KB)
Schürholt K, Taskiran D, Knyazev B, Giró-i-Nieto X, Borth D. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS 2022 Track Datasets and Benchmarks. New Orleans, Louisiana, USA.; 2022.  (937.59 KB)
Schürholt K, Taskiran D, Knyazev B, Giró-i-Nieto X, Borth D. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS. 2022.  (937.59 KB)

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