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Górriz M, Aparicio A, Raventós B, Vilaplana V, Sayrol E, López-Codina D. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In Articulated Motion and Deformable Objects. Springer International Publishing; 2018. pp. 53-62.
Pina O, Vilaplana V. Layer-wise self-supervised learning on graphs. In KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023.
Figueras P, Haas C, Capdevila C, Vilaplana V. Las Mancomunidades en España. Boletí de la Asociación de Geógrafos Españoles. 2005;:151–176.
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Vilaplana V, Marqués F. Join detection and segmentation of human faces in color images. In International Conference on Augmented, Virtual Environments and 3D Imaging. 2001. pp. 347–350.
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Hernandez C, Pachón-García C, Delicado P, Vilaplana V. Interpreting Machine Learning Models for Survival Analysis: A Study of Cutaneous Melanoma Using the SEER Database. In Explainable Artificial Intelligence and Process Mining Applications for Healthcare,. Submitted.
Hernandez C, Pachón-García C, Delicado P, Vilaplana V. Interpreting Machine Learning models for Survival Analysis: A study of Cutaneous Melanoma using the SEER Database. In XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023). Portoroz, Slovenia; 2023.
Domingo P. Interpretability of Deep Learning Models. Vilaplana V. 2019.
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)
Ventura C, Giró-i-Nieto X, Vilaplana V, McGuinness K, Marqués F, O'Connor N. Improving Spatial Codification in Semantic Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. Quebec City: IEEE; 2015.  (18.81 MB)
Ventura C, Vilaplana V, Giró-i-Nieto X, Marqués F. Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces. Multimedia Tools and Applications. 2013;.  (1.97 MB)
Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, Podlipnik S, et al.. Implementation of personalized medicine in cutaneous melanoma patients aided by artificial intelligence. In 10th World Congress of2 Melanoma / 17th EADO Congress. 2021.
Canton-Ferrer C, Pardàs M, Vilaplana V. Image and video processing tools for HCI. In Multimodal signal processing: theory and applications for human-computer interaction. 2009. pp. 93–118.
Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, et al.. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
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Marqués F, Vilaplana V, Buxes A. Human face segmentation and tracking using connected components and partition projection. In 1999 IEEE INternational Conference on Image Processing. 1999.
Garrido L, Marqués F, Pardàs M, Salembier P, Vilaplana V. A hierarchical technique for image sequence analysis. In Workshop on Image Analysis for Multimedia Application Services, WIAMIS'97. Louvain-la-Neuve, Belgium; 1997. pp. 13–20.  (182.34 KB)
Ventura C, Martos M, Giró-i-Nieto X, Vilaplana V, Marqués F. Hierarchical Navigation and Visual Search for Video Keyframe Retrieval. In Advances in Multimedia Modeling. Springer Berlin / Heidelberg; 2012. pp. 652-654.
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Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. 2020;Data in Brief(Vol. 30).
Gené-Mola J, Gregorio E, Guevara J, Cheein FAuat, Sanz R, Escolà A, et al.. Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
Catà M. Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. Vilaplana V, Casamitjana A. 2016.  (4.52 MB)
Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. Submitted;.
Vilaplana V, Varas D. Face tracking using a region-based mean-shift algorithm with adaptive object and background models. In Workshop on Image Analysis for Multimedia Interactive Services. 2009. pp. 9–12.
Vilaplana V, Marqués F. Face segmentation using connected operators. In Mathematical Morphology and its applications to image and signal processing. 1998. pp. 207–214.

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