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Journal Article
Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;.  (2.2 MB)
Cumplido-Mayoral I, Brugulat-Serra A, Sánchez-Benavides G, Molinuevo JLuis, Suarez-Calvet M, Vilaplana V, et al.. The mediating role of neuroimaging-derived biological brain age between risk factors for dementia and cognitive decline in middle/late-aged asymptomatic individuals: a cohort study. The Lancet Healthy Longevity. Submitted;.
Sayrol E, Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, et al.. Mixed integration of CDIO skills into telecommunication engineering curricula. Elektronika ir elektrotechnika. 2010;102(6):127–130.
Salembier P, Brigger P, Casas J, Pardàs M. Morphological operators for image and video compression. IEEE transactions on image processing. 1996;5(6):881–898.  (812.23 KB)
Pont-Tuset J, Arbelaez P, Barron JT, Marqués F, Malik J. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2017;38(7):128-140.
Bellot P, Olsen C, Salembier P, Oliveras A, Meyer PE. NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference. BMC Bioinformatics. 2015;16.  (851.49 KB)
Dominguez A, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Neural ADMIXTURE: rapid population clustering with autoencoders. Nature Computational Science. 2023;.
Barkhuus L, Zoric G, Engström A, Ruiz-Hidalgo J, Verzijp N. New interaction modes for rich panoramic live video experiences. Behaviour & Information Technology. 2014;33(8).
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2015;45(4):427–433.
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2014;44.
Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, et al.. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;.
Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, et al.. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;.
Molina J, Escudero-Viñolo M, Signorelo A, Pardàs M, Ferran C, Bescós J, et al.. Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models. Machine vision and applications. 2013;24(1):187–204.
Bellver-Bueno M, Ventura C, Silberer C, Kazakos I, Torres J, Giró-i-Nieto X. RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation. Multimedia Tools and Applications. 2022;.  (5.78 MB)
Bernal O, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. SALAI-Net: species-agnostic local ancestry inference network. Bioinformatics. 2022;38.
Salembier P, Marqués F, Pardàs M, Morros JR, Corset I, Jeannin S, et al.. Segmentation-based video coding system allowing the manipulation of objects. IEEE transactions on circuits and systems for video technology. 1997;7:60–74.  (1.44 MB)
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;.
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;.
Salembier P, Benitez AB. Structure description tools. Journal of the American Society for Information Science. 2007;58:1329–1337.  (722.43 KB)
Schelkens P, Munteanu A, Barbarien J, Galca M, Giró-i-Nieto X, Cornelis J. Wavelet coding of volumetric medical datasets. Medical Imaging, IEEE Transactions on. 2003;22:441 -458.
Ms Thesis
Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.

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