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P
de-Mas-Giménez G, Subirana A, Bernal Pérez E, Riu J, Casas JR, García-Gómez P, et al.. Preview of a multimodal data set for robust and safe autonomous driving under adverse weather conditions. In IMEKO PhotoMet - International Symposium on Modern Photonic Metrology. Modena, Italy: 11 IMEKO PhotoMet; 2025.
de-Mas-Giménez G, Subirana A, Bernal Pérez E, Riu J, Casas JR, García-Gómez P, et al.. Preview of a multimodal data set for robust and safe autonomous driving under adverse weather conditions. In IMEKO PhotoMet - International Symposium on Modern Photonic Metrology. Modena, Italy: 11 IMEKO PhotoMet; 2025.
Solé A, Mosella-Montoro A, Cardona J, Aravena D, Gómez-Coca S, Ruiz E, et al.. PRISM: periodic representation with multiscale and similarity graph modelling for enhanced crystal structure property prediction. npj Computational Materials. 2026;.  (13.26 MB)
Solé A, Mosella-Montoro A, Cardona J, Aravena D, Gómez-Coca S, Ruiz E, et al.. PRISM: periodic representation with multiscale and similarity graph modelling for enhanced crystal structure property prediction. npj Computational Materials. 2026;.  (13.26 MB)
Cabrera M, Closas P, Alfredo L, Giró-i-Nieto X, Rey F. Proyecto de Innovación Docente COM@WEB (COMunicaciones en la WEB). In VIII Simposio Nacional de Tecnologías de la Información y las Comunicaciones en la Educación. SINTICE'07. 2007. pp. 113–120.  (434.45 KB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 MB)
Q
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.
Lo Anguera J, Lázaro JA, Ruiz-Hidalgo J, Solé A, Casas JR, Sarmiento S, et al.. Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In 1st Intl. Workshop on Quantum Computing and Artificial Intelligence (QC+AI 2025) . Philadelphia: Association for the Advancement of Artificial Intelligence (AAAI); 2025.  (851.1 KB)
R
Eugenio F, Marcello J, Marqués F, Hernandez-Guerra A, Rovaris E. A real-time automatic acquisition, processing and distribution system for AVHRR and SeaWIFS imagery. IEEE geoscience electronics society newsletter. 2001;-:10–15.
Suau X, Alcoverro M, López-Méndez A, Ruiz-Hidalgo J, Casas JR. Real-time Fingertip Localization Conditioned on Hand Gesture Classification. Image and Vision Computing. 2014;32(8):522 - 532.  (2.66 MB)
Suau X, Casas JR, Ruiz-Hidalgo J. Real-time head and hand tracking based on 2.5D data. In ICME - 2011 IEEE International Conference on Multimedia and Expo. 2011. pp. 1–6.  (1.59 MB)
Suau X, Ruiz-Hidalgo J, Casas JR. Real-time head and hand tracking based on 2.5D data. IEEE Transactions on Multimedia . 2012;14(3):575-585 .  (4.88 MB)
Maceira M, Morros JR, Ruiz-Hidalgo J. Region-based depth map coding using a 3D scene representation. In IEEE International Conference on Acoustics, Speech and Signal Processing. Brisbane, Australia; 2015.  (1.35 MB)
Pujol-Miró A, Ruiz-Hidalgo J, Casas JR. Registration of Images to Unorganized 3D Point Clouds Using Contour Cues. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip; 2017.  (3.14 MB)
Jiménez X, Figueiras F, Marqués F, Salembier P, Herance R, Rojas S, et al.. Registration of Multi-Modal Neuroimaging Datasets by Considering the Non-Overlapping Field of View into the NMI Calculation. In IEEE International Symposium on Biomedical Imaging, ISBI 2012. Barcelona, Spain; 2012.
Ruiz-Hidalgo J. The representation of images using scale trees. University of East Anglia; 1999 .  (2.33 MB)
Mosella-Montoro A, Ruiz-Hidalgo J. Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification. In IEEE Conference on Computer Vision Workshop (ICCVW). Seoul, Korea: IEEE; 2019.  (314.43 KB)
Ruiz-Hidalgo J, Bangham J, Harvey R. Robust morphological scale-space trees. In Noblesse Workshop on Non-Linear Model Based Image Analysis. 1998. pp. 133–139.  (4.89 MB)
Ruiz-Hidalgo J, Salembier P. Robust segmentation and representation of foreground key-regions in video sequences. In International Conference on Acoustics, Speech and Signal Processing ICASSP'01. Salt Lake City, USA; 2001. pp. 1565–1568.  (566.2 KB)
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Mañas O, Lacoste A, Giró-i-Nieto X, Vazquez D, Rodríguez P. Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. In International Conference in Computer Vision (ICCV). Virtual: IEEE/CVF; 2021.  (1.79 MB)
Bangham J, Ruiz-Hidalgo J, Harvey R, Cawley G. The segmentation of images via scale-space trees. In British Machine Vision Conference. Southampton, UK; 1998. pp. 33–43.  (1.18 MB)
Bazazian D, Casas JR, Ruiz-Hidalgo J. Segmentation-based Multi-Scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds. In International Conference on Computer Vision Theory and Applications. Porto, Portugal; 2017.  (4.3 MB)
Jimenez L, Vilardel F, Petit A, Dorca E, Soler-Monsó T, Ramos-Oliver I, et al.. Segmenting Invasive and In Situ Carcinoma in Breast WSIs with a Pretrained Histopathology Transformer. In 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care - MICCAI2025. Daejeon, South Korea: Springer LNCS vol 16142; 2025.

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