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Conference Paper
Oliveras A, Fuertes J, Villà R. Tou - Brazo Robot Asistencial: Control Verbal. In 2º Congreso de la Asociación Española de Robótica. 1991. pp. 93–100.
Le N, Bredin H, Sargent G, India M, Lopez-Otero P, Barras C, et al.. Towards large scale multimedia indexing: A case study on person discovery in broadcast news. In International Workshop on Content-Based Multimedia Indexing - CBMI 2017. Firenze, Italy; 2017.  (831.12 KB)
Gené-Mola J, Felip-Pomés M, Net-Barnés F, Morros JR, Miranda JC, J. Satorra A, et al.. Video-Based Fruit Detection and Tracking for Apple Counting and Mapping. In IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). 2023.  (680.49 KB)
Fernàndez D, Varas D, Espadaler J, Ferreira J, Woodward A, Rodríguez D, et al.. ViTS: Video Tagging System from Massive Web Multimedia Collections. In ICCV 2017 Workshop on Web-scale Vision and Social Media . Venice, Italy; 2017.  (1.18 MB)
Fernàndez D, Varas D, Espadaler J, Ferreira J, Woodward A, Rodríguez D, et al.. ViTS: Video Tagging System from Massive Web Multimedia Collections. In ICCV 2017 Workshop on Web-scale Vision and Social Media . Venice, Italy; 2017.  (1.18 MB)
Fernàndez D, Bou E, Giró-i-Nieto X. VLX-Stories: a Semantically Linked Event platform for media publishers. In Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019). Auckland, New Zealand: CEUR Workshop Proceeedings; 2019.  (759.51 KB)
Fernàndez D, Bou E, Giró-i-Nieto X. VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection. In The Semantic Web – ISWC 2019. Auckland, New Zealand: Springer, Cham; 2019. pp. 382-399.  (1.42 MB)
Fernàndez D, Varas D, Bou E, Giró-i-Nieto X. What is going on in the world? A display platform for media understanding. In IEEE Multimedia Information Processing and Retrieval (MIPR) Conference. Miami, FL (USA): IEEE; 2018.  (700.85 KB)
Journal Article
Gené-Mola J, Ferrer-Ferrer M, Hemming J, Dalfsen P, Hoog D, Sanz-Cortiella R, et al.. AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation. Data in Brief. 2024;52.
Wang L, Nie D, Li G, Puybareau E, Dolz J, Zhang Q, et al.. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging. 2019;.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al.. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration stratified by sex. eLife. 2023;12.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
Temprana-Salvador J, López-García P, Vives JCastellví, de Haro L, Ballesta E, Abusleme MRojas, et al.. DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals - Planification, Implementation and Preliminary Results. Diagnostics. 2022;12(4).
Frias-Velazquez A, Morros JR, García M, Philips W. Hierarchical stack filtering: a bitplane-based algorithm for massively parallel processors. Journal of Real-Time Image Processing. 2017;.  (868.82 KB)
Figueras P, Haas C, Capdevila C, Vilaplana V. Las Mancomunidades en España. Boletí de la Asociación de Geógrafos Españoles. 2005;:151–176.
Gené-Mola J, Ferrer-Ferrer M, Gregorio E, Blok PM, Hemming J, Morros JR, et al.. Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Computers and Electronics in Agriculture. 2023;209.  (9.02 MB)
Petrone P, Vilaplana V, Casamitjana A, Sanchez-Escobedo D, Tucholka A, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2017;13(7):P1245.
Casamitjana A, Petrone P, Tucholka A, Falcon C, Skouras S, Molinuevo JLuis, et al.. MRI-Based Screening of Preclinical Alzheimer's Disease for Prevention Clinical Trials. Journal of Alzheimer's Disease. 2018;64(4).
Casamitjana A, Vilaplana V, Puch S, Aduriz A, Lopez C, Operto G, et al.. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
Salembier P, Foucher S. Optimum Graph-Cuts for Pruning Binary Partition Trees of Polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing. 2016;54(9):5493 – 5502.  (3.42 MB)
Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).
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;.
Puig-Sitjes A, Jakubowski M, Naujoks D, Gao Y, Drewelow P, Niemann H, et al.. Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X. Applied sciences (Basel). 2021;11(24).  (6.09 MB)
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.

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