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Mora L, Vilaplana V. Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation. In MICCAI 2020 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2020.
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
Sánchez I, Vilaplana V. Brain MRI Super-Resolution using Generative Adversarial Networks. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
Roselló CBonín. Brain lesion segmentation using Convolutional Neuronal Networks. Casamitjana A, Vilaplana V. 2018.  (3.15 MB)
Ferran C, Giró-i-Nieto X, Marqués F, Casas J. BPT Enhancement based on Syntactic and Semantic criteria. In 1st International Conference on Semantic and Digital Media Technologies. 2006. pp. 184–198.
Ferran C, Giró-i-Nieto X, Marqués F, Casas J. BPT Enhancement based on Syntactic and Semantic criteria. In Semantic Multimedia. Berlin / Heidelberg: Springer; 2006. pp. 184–198.
Roca S. Block-based Speech-to-Speech Translation. Duarte A, Giró-i-Nieto X. 2018.  (505.01 KB)
Giró-i-Nieto X. BitSearch, the blog before the thesis. In VI International Congress of University Teaching and Innovation. Barcelona, Catalonia; 2010.
Cumplido-Mayoral I, García-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. 2022.
Cumplido-Mayoral I, Mila-Aloma M, Lorenzini L, Wink AMeije, Mutsaerts H, Haller S, et al.. Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex. In 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD). San Francisco, USA; 2022.
Cumplido-Mayoral I, García-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 stratified by sex. eLife. 2023;12.
Ferran C, Casas J. Binary-Partition Tree creation using a quasi-inclusion criterion. In 8th International Conference on Information Visualization (IV04). 2004. pp. 259–264.
Vilaplana V, Marqués F, Salembier P. Binary partition trees for object detection. IEEE transactions on image processing. 2008;17:1–16.  (1.66 MB)
Salembier P, Garrido L. Binary partition tree as an efficient representation for image processing, segmentation and information retrieval. IEEE transactions on image processing. 2000;9:561–576.  (762.82 KB)
Salembier P, Garrido L. Binary partition tree as an efficient representation for filtering, segmentation and information retreival. In IEEE International Conference on Image Processing, ICIP 1998. Chicago (IL), USA; 1998.  (260.02 KB)
Alonso-González A, López-Martínez C, Salembier P. Binary partition tree as a polarimetric SAR data representation in the space-time domain. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011. Vanouver, Canada; 2011. pp. 3819–3822.  (1.53 MB)
Alonso-González A, López-Martínez C, Salembier P, Deng X. Bilateral Distance Based Filtering for Polarimetric SAR Data. Remote Sensing. 2013;5(11):5620-5641.  (13.7 MB)
Wang L, Nie D, Li G, Puybareau E, Dolz J, Zhang Q, et al.. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging. 2019;.
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.
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Bayesian region selection for adaptive dictionary-based Super-Resolution. In British Machine Vision Conference. 2013.  (2.59 MB)
Gallego J, Pardàs M, Haro G. Bayesian foreground segmentation and tracking using pixel-wise background model and region-based foreground model. In 16th IEEE International Conference on Image Processing. 2009. pp. 3205–3208.
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.
Mohedano E, Salvador A, McGuinness K, Giró-i-Nieto X, O'Connor N, Marqués F. Bags of Local Convolutional Features for Scalable Instance Search. In ACM International Conference on Multimedia Retrieval (ICMR). New York City, NY; USA: ACM; 2016.  (3.73 MB)
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Marcello J, Marqués F, Eugenio F. Automatic tool for the precise detection of upwelling and filaments in remote sensing imagery. IEEE transactions on geoscience and remote sensing. 2005;43:1605–1616.
Eugenio F, Rovaris E, Marcello J, Marqués F. Automatic structures detection and spatial registration using multisensor satellite imagery. In Proceedings of the International Geoscience and Remote Sensing Symposium,. 2003. pp. 1038–1040.

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