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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)
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)
Vilaplana V, Marqués F, Salembier P. Binary partition trees for object detection. IEEE transactions on image processing. 2008;17:1–16.  (1.66 MB)
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.
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.
Mayoral ICumplido, Vilaplana V, Gispert JD. BIOLOGICAL BRAIN-AGE PREDICTION USING MACHINE LEARNING ON NEUROIMAGING DATA: LINKS WITH PATHOPHYSIOLOGICAL MECHANISMS, DEMENTIA RISK FACTORS AND COGNITIVE DECLINE. Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra. 2024.
Giró-i-Nieto X. BitSearch, the blog before the thesis. In VI International Congress of University Teaching and Innovation. Barcelona, Catalonia; 2010.
Roca S. Block-based Speech-to-Speech Translation. Duarte A, Giró-i-Nieto X. 2018.  (505.01 KB)
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.
Roselló CBonín. Brain lesion segmentation using Convolutional Neuronal Networks. Casamitjana A, Vilaplana V. 2018.  (3.15 MB)
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.
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.
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, Brugulat-Serrat A, Sánchez-Benavides G, González-Escalante A, Anastasi F, Mila-Aloma M, et al.. Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum. In Alzheimer’s Association International Conference (AAIC). Amsterdam, Netherlands; 2023.
Cumplido-Mayoral I, Mila-Aloma M, Falcon C, Cacciaglia R, Minguillon C, Fauria K, et al.. Brain-age prediction and its associations with glial and synaptic CSF markers. In Alzheimer's Association International Conference. Amsterdam, Netherlands; 2023.
Hernandez C, Jimenez L, Vilaplana V. Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop). In Press.
Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR 2019 DeepVision Workshop. Long Beach, CA, USA: OpenCVF; 2019.  (6.59 MB)
Vilaplana V, Marqués F. On building a hierarchical region-based representation for generic image analysis. In IEEE International Conference on Image Processing. 2007.
Sánchez-Escué J. Bundling interest points for object classification. Ventura C, Giró-i-Nieto X. 2014.  (2.15 MB)
Rubiano A. Búsqueda Visual con Retroacción de Relevancia Basada en Actualizacion de Pesos. Giró-i-Nieto X. 2011.  (1.07 MB)
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Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016.  (679.91 KB)
Ventura L, Duarte A, Giró-i-Nieto X. Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses. In ECCV 2020 Workshop on Sign Language recognition, Production and Translation (SLRTP). 2020.  (3.85 MB)

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