Search Publication

Export 1098 results:
Author [ Title(Asc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
B
Rubiano A. Búsqueda Visual con Retroacción de Relevancia Basada en Actualizacion de Pesos. Giró-i-Nieto X. 2011.  (1.07 MB)
Sánchez-Escué J. Bundling interest points for object classification. Ventura C, Giró-i-Nieto X. 2014.  (2.15 MB)
Vilaplana V, Marqués F. On building a hierarchical region-based representation for generic image analysis. In IEEE International Conference on Image Processing. 2007.
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)
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.
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.
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.
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.
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.
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)

Pages