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Author Title Type [ Year(Desc)]
2023
Pina O, Vilaplana V. Layer-wise self-supervised learning on graphs. In KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023.
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)
Dominguez A, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Neural ADMIXTURE: rapid population clustering with autoencoders. Nature Computational Science. 2023;.
Lozano J, Jiménez H, Torres S, Biosca P, Fontanet B, Pinazo J, et al.. Optical Phased Array Antenna Apodization for Lidar in Autonomous Vehicles. In XIII Reunión OptoElectrónica. Sevilla, Spain: OPTOEL; 2023.
Chávez Plasencia A, García-Gómez P, Bernal Pérez E, de-Mas-Giménez G, Casas J, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).  (9.94 MB)
Morros JR, Broquetas A, Mateo A, Puig J, Davins M. Real-time lane classification and accident detection for safer micromobility. In 11th Internationa Congress on Transportation Research. Heraklion, Crete; 2023.  (2.28 MB)
Tarrés L, Gállego GI, Duarte A, Torres J, Giró-i-Nieto X. Sign Language Translation from Instructional Videos. In CVPR 2023 Women in Computer Vision Workshop. Vancouver, Canada: Computer Vision Foundation / IEEE; 2023.  (4.64 MB)
Ferrer-Ferrer M, Ruiz-Hidalgo J, Gregorio E, Vilaplana V, Morros JR, Gené-Mola J. Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks  . Biosystems Engineering. 2023;233:63-75.  (10.36 MB)
de-Mas-Giménez G, García-Gómez P, Casas J, 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.
Pardàs M, Anglada D, Espina M, Marques F, Salembier P. Stromal tissue segmentation in Ki67 histology images based on cytokeratin-19 stain translation. JOURNAL OF MEDICAL IMAGING. 2023;10(3).  (13.78 MB)
Hurtado C, Shekkizhar S, Ruiz-Hidalgo J, Ortega A. Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rhodes Island, Greece; 2023.  (1.4 MB)
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)
2024
Lázaro JA, Casas J, Ruiz-Hidalgo J, Cortada-Garcia M, Martín-Pey G, Salavedra-Pujol J, et al.. 6G-EWOC: Crowdsourced SLAM Data Fusion for Safe and Efficient ADAS Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (2.73 MB)
Schrenk B, Theodoropoulou E, Lyberopoulos G, Marcus C, Eriksson O, Lázaro JA, et al.. 6G-EWOC: Optical Wireless Communication in Support of Autonomous Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (1.22 MB)
Barrabés M, Perera M, Novelle V, Moriano X, Giró-i-Nieto X, Mas-Montserrat D, et al.. Advances in Biomedical Missing Data Imputation: A Survey. IEEE Access. 2024;.
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.
Hernandez C, Combalia M, Podlipnik S, Codella NCF, Rotemberg V, Halpern AC, et al.. Bcn20000: Dermoscopic lesions in the wild. Nature - Scientific Data. 2024;11.
Cumplido-Mayoral I. Biological brain-age prediction using Machine Learning on neuroimaging data: Links with pathophysiological mechanisms, dementia risk factors and cognitive decline. Vilaplana V, Gispert JD. Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra. 2024.
Jimenez L, Hernandez C, Vilaplana V. Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers. In Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, MICCAI 2024. 2024.
Hernandez C, Jimenez L, Vilaplana V. Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop). 2024.
Pina O, Dorca E, Vilaplana V. Cell-DETR: Efficient cell detection and classification in WSIs with transformers. In Medical Imaging with Deep Learning (MIDL 2024). 2024.
Perez-Cano J, Valero ISansano, Anglada D, Pina O, Salembier P, Marqués F. Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue. Heliyon. 2024;10(7).  (4.05 MB)
Anglada D, Sala J, Marqués F, Salembier P, Pardàs M. Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE; 2024.  (838.72 KB)
Blanco JA, Pardàs M, Casas J, Paugam R, Agueda A, Wagner J, et al.. Estimation of 3D Shape and Volume of Fire Plumes from Multiple Views. IOP J. Phys.: Conf. Ser. 2024;2885.  (818.71 KB)

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