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Journal Article
Vilaplana V, Marqués F. A region-based approach to face segmentation and tracking in video sequences. Latin american applied research. 2001;31:99–106.
Vilaplana V. Saliency Maps on Image Hierarchies. Signal Processing: Image Communication. Special Issue on Recent Advances in Saliency Models, Applications and Evaluations. 2015;38:84-99.
Salgueiro L, Marcello J, Vilaplana V. SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images. Remote Sensing. 2022;14(22).
Tochon G, Feret JB, Valero S, Martin RE, Tupayachi R, Chanussot J, et al.. Segmentation hyperspectrales de forets tropicales par arbres de partition binaires. Revue française de photogrammétrie et de télédétection. 2013;202(1):55-65.  (2.51 MB)
Casamitjana A, Petrone P, Molinuevo JL, Gispert JD, Vilaplana V. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study. IEEE Journal of Biomedical and Health Informatics. 2019;.
Ferrer-Ferrer M, Ruiz-Hidalgo J, Gregorio E, Vilaplana V, Morros JR, Gené-Mola J. Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks  . Biosystems Engineering. 2023;233:63-75.  (10.36 MB)
Salgueiro L, Marcello J, Vilaplana V. Single-image super-resolution of Sentinel-2 low resolution bands with residual dense convolutional neural networks. Remote Sensing. 2021;13(24):5007.
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
Salgueiro L, Marcello J, Vilaplana V. Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote Sensing. 2020;12(15).
Pachón-García C, Hernandez C, Delicado P, Vilaplana V. SurvLIMEpy: A Python package implementing SurvLIME. Expert Systems With Applications. 2024;237, Part C.
Avrithis Y, Stamou G, Wallace M, Marqués F, Salembier P, Giró-i-Nieto X, et al.. Unified Access to Heterogeneous Audiovisual Archives. Journal of universal computer science. 2003;9:510–519.
Tochon G, Féeret JB, Valero S, Martin RE, Knapp DE, Salembier P, et al.. On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images. Remote Sensing of Environment. 2015;159:318-331.  (3.06 MB)
Ms Thesis
Aduriz A. Analysis of the dynamics of gray matter reduction in Alzheimer's Disease. Vilaplana V. 2016.  (9.47 MB)
Salla-Rovira R. Aplicació rica d'internet per a la consulta amb text i imatge a la Corporació Catalana de Mitjans Audiovisuals. Giró-i-Nieto X, Vives X. 2009.  (6.01 MB)
Artigot JMartínez. Automatic fruit classification using deep learning. Morros JRamon, Vilaplana V. 2018.
Queralt RLlorca. Automatic Human Detection and Tracking for Robust Video Sequence Annotation. Morros JR, Varas D. 2014.
Roselló CBonín. Brain lesion segmentation using Convolutional Neuronal Networks. Casamitjana A, Vilaplana V. 2018.  (3.15 MB)
Sánchez-Escué J. Bundling interest points for object classification. Ventura C, Giró-i-Nieto X. 2014.  (2.15 MB)
Domenech T. Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos. Vilaplana V. 2019.
Pelegrí JBustos. Clasificación de imágenes histológicas mediante redes neuronales convolucionales. Combalia M, Vilaplana V. 2018.
Tarrés L. Clasificación de lesiones de piel con un ensemble de redes neuronales residuales. Vilaplana V, Combalia M. 2019.
Panizo E. Classification techniques for Alzheimer’s disease early diagnosis. Vilaplana V. 2015.  (5.86 MB)

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