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] . Supervised Evaluation of Image Segmentation and Object Proposal Techniques. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2016;38(7):1465 - 1478.
. Contour detection using binary partition trees. In IEEE International Conference on Image Processing. 2010. pp. 1609–1612.
. Image Segmentation Evaluation and Its Application to Object Detection. . [Barcelona]: Universitat Politècnica de Catalunya, BarcelonaTech; 2014. 
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(48.44 MB). Supervised Assessment of Segmentation Hierarchies. In European Conference on Computer Vision (ECCV). 2012. (421.65 KB)
(421.65 KB). Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation. In Computer Vision and Pattern Recognition (CVPR). 2013. (909.27 KB)
(909.27 KB). Upper-bound assessment of the spatial accuracy of hierarchical region-based image representations. In IEEE International Conference on Acoustics, Speech, and Signal Processing. 2012. pp. 865-868.
. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016. (679.91 KB)
(679.91 KB). Personalized medicine in melanoma patients aided by artificial intelligence. In Clinical Translation of Medical Image Computing and Computer Assisted Interventions (CLINICCAI) Workshop at MICCAI. 2021.
. Estudio de campos de golf mediante técnicas de segmentación. In IX Congreso Nacional de Teledetección. Lleida, Spain; 2001. (130.37 KB)
(130.37 KB). Perception in the era of Autonomous Vehicles. In Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022. (2.34 MB)
(2.34 MB). Cell Detection with Transformers – A Paradigm Shift from Segmentation to Detection in Digital Pathology. In 21st European Congress on Digital Pathology. 2025. (599.69 KB)
(599.69 KB). Cell-DETR: Efficient cell detection and classification in WSIs with transformers. In Medical Imaging with Deep Learning (MIDL 2024). 2024.
. Self-supervised graph representations of WSIs. In Geometric Deep Learning in Medical Image Analysis. 2022.
. Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems,. 2025;.
. Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop). 2024.
. Unsupervised Domain Adaptation for Cell Detection Across Histopathological Stains. In 21st European Congress on Digital Pathology. Barcelona: The European Society of Digital and Integrative Pathology; 2025. (601.11 KB)
(601.11 KB). Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. 2024;289.
. From pixels to graphs: cell-based digital pathology image analysis. . Signal Theory and Communications. 2025.
. 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.
. Hierarchical Cell-to-Patch Graphs for Context-Aware Cell Classification in Digital Pathology. In 21st European Congress on Digital Pathology. Barcelona: The European Society of Digital and Integrative Pathology; 2025. (600.71 KB)
(600.71 KB). Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.
. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.
. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
. 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.
. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).