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Conference Paper
Pareto D, Vidal P, Alberich M, Lopez C, Auger C, Tintoré M, et al.. Prediction of a second clinical event in CIS patients by combining lesion and brain features. In Congress of the European Comitee for Treatment and Research in Multiple Sclerosis (ECTRIMS 2019). 2019.
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
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.
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)
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)
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)
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.
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)
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.
García-Gómez P, Riu J, Casas JR, Royo S. Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea. In 7th Workshop on Active Imaging. Saint-Louis, France: French-German Research Institute of Saint-Louis (ISL); 2019.
García-Gómez P, Riu J, Casas JR, Royo S. Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea. In 7th Workshop on Active Imaging. Saint-Louis, France: French-German Research Institute of Saint-Louis (ISL); 2019.
Lidon A, Bolaños M, Dimiccoli M, Radeva P, Garolera M, Giró-i-Nieto X. Semantic Summarization of Egocentric Photo Stream Events. In ACM Multimedia 2017 Workshop on Lifelogging Tools and Applications. Mountain View, CA, USA: ACM; 2017.  (3.08 MB)
de-Mas-Giménez G, García-Gómez P, Casas JR, Royo S. Single image defogging and evaluation with deep neural networks without the need of ground truth. In SPIE Automated Visual Inspection and Machine Vision V. Munich: Proc. SPIE 12623; 2023.  (3.68 MB)
Caselles P, Ramon E, Garcia J, Giró-i-Nieto X, Moreno F, Triginer G. SIRA: Relightable Avatars from a Single Image. In Winter Conference on Applications of Computer Vision (WACV). 2023.
Romero-Lopez A, Burdick J, Giró-i-Nieto X, Marques O. Skin Lesion Classification from Dermoscopic Images using Deep Learning. In The 13th IASTED International Conference on Biomedical Engineering (BioMed 2017). Innsbruck Austria; 2017.  (648.62 KB)

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