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Bellalta B.; Casasnovas M.; Maura F.; Rodriguez A.; Marquerie J.S.; Garcia P.L.; Wilhelmi F.; Blat J.. Understanding the Wi-Fi and VR streaming interplay: a comprehensible simulation and experimental study. Journal of network and computer applications 2026; 245: .

Haroon U; AlMughrabi A; Zoumpekas T; Marques R; Radeva P. VolE: A point-cloud framework for food 3D reconstruction and volume estimation. Scientific Reports 2026; 16: .

He J; Chen Y; Vinod G; Zhang X; Mahmud TI; Almughrabi A; Haroon U; Marques R; Radeva P; Jueluo Y; Shi C; Wang P; Xi P; Wong A; Zhu F. Physically Informed 3D Food Reconstruction: Methods and Results. IEEE Journal of Biomedical and Health Informatics 2026; : .

R Marques; Colom A; Bouville C; Pettré J; Bouatouch K. Fast and Accurate Gaussian Process Modelling of Real-World Materials. ACM transactions on graphics 2026; 45(3): 1-18.

AlMughrabi A; Galan A; Marques R; Radeva P. FoodMem: Near real-time and precise food video segmentation. Pattern Recognition Letters 2025; 192: 59-64.

Almughrabi A; Haroon U; Marques R; Radeva P. VolTex: Food Volume Estimation Using Text-Guided Segmentation and Neural Surface Reconstruction. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops 2025; : 450-457.

Hu C; Nagarajan B; Marques R; Radeva P. Adaptive Vision-Language Prompt Learners for Learning with Noisy Labels. Journal of Visual Communication and Image Representation 2025; 111: .

Nagarajan B; Marques R; Aguilar E; Radeva P. Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. Neural Networks 2024; 172(0): .

Tatjer A; Nagarajan B; Marques R; Radeva P. Decoding class dynamics in learning with noisy labels. Pattern Recognition Letters 2024; 184(0): 239-245.

Marichal S, Rosales A, González Perilli F, Pires AC, Blat J. Auditory and haptic feedback to train basic mathematical skills of children with visual impairments. Behaviour and Information Technology 2023; 42(8): 1081-1109.