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Journal Article
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.
Ms Thesis
Aduriz A. Analysis of the dynamics of gray matter reduction in Alzheimer's Disease. Vilaplana V. 2016.  (9.47 MB)
Artigot JMartínez. Automatic fruit classification using deep learning. Morros JRamon, Vilaplana V. 2018.
Roselló CBonín. Brain lesion segmentation using Convolutional Neuronal Networks. Casamitjana A, Vilaplana V. 2018.  (3.15 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)
Vela ESañoso. Combinar imágenes y hábitos musicales para mejorar los sistemas de recomendación de música. Vilaplana V, Morros JRamon. 2015.
Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.
Alonso AHerrera. Detecció de Text utilitzant Xarxes Neuronals Convolucionals . Vilaplana V. 2015.
Castelló DRodríguez. Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D. Casamitjana A, Vilaplana V. 2017.
Catà M. Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. Vilaplana V, Casamitjana A. 2016.  (4.52 MB)
Batiste G. Generative Adversarial Networks for Anomaly Detection in Images. Vilaplana V. 2018.
Domingo P. Interpretability of Deep Learning Models. Vilaplana V. 2019.
Santamarta VMarcos. Machine learning for recommendation systems in job postings selection. Vidal J, Vilaplana V. 2016.
Puch S. Nonlinear analysis toolbox for neurodegenerative diseases and aging. Vilaplana V. 2016.  (9.74 MB)
Cànaves MArtigues. Prevention of Alzheimer's Disease: a contribution from MRI and machine learning. Petrone P, Vilaplana V. 2018.
López Ldel Pino. Reconstrucció de la forma del rostre a partir de contorns. Vilaplana V, Morros JRamon. 2015.
Gullón N. Retinal lesions segmentation using CNNs and adversarial training. Vilaplana V. 2018.
Casals R. Synthesis of acne images for data augmentation with generative adversarial networks. Vilaplana V. 2019.
Ventura C. Tools for Image Retrieval in Large Multimedia Databases. Giró-i-Nieto X, Vilaplana V, Marqués F. 2011.  (6.33 MB)
Ventura C. Visual Object Analysis Using Regions and Interest Points. Giró-i-Nieto X, Vilaplana V, Marqués F. 2013.  (4.62 MB)
Report
Ventura C, Giró-i-Nieto X, Vilaplana V, McGuinness K, Marqués F, O'Connor NE. Improving Spatial Codification in Semantic Segmentation (Supplementary Material). 2015 .  (18.81 MB)

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