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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.

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Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR 2019 DeepVision Workshop. Long Beach, CA, USA: OpenCVF; 2019.

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Vilaplana V, Marqués F. On building a hierarchical region-based representation for generic image analysis. In IEEE International Conference on Image Processing. 2007.

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Sánchez-Escué J. Bundling interest points for object classification. Ventura C, Giró-i-Nieto X. 2014.

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Rubiano A. Búsqueda Visual con Retroacción de Relevancia Basada en Actualizacion de Pesos. Giró-i-Nieto X. 2011.

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Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. 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.

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Ventura L, Duarte A, Giró-i-Nieto X. Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses. In ECCV 2020 Workshop on Sign Language recognition, Production and Translation (SLRTP). 2020.

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López-Méndez A, Casas J. Can our TV robustly understand human gestures? Real-Time Gesture Localization in Range Data. In Conference on Visual Media Production. London, UK: ACM; 2012.

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León M, Vilaplana V, Gasull A, Marqués F. Caption text extraction for indexing purposes using a hierarchical region-based image model. In 16th International Conference on Image Processing. 2009. pp. 1869–1872.

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Solé A, Mosella-Montoro A, Cardona J, Gómez-Coca S, Aravena D, Ruiz E, et al.. A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid Estimation. Digital Discovery. 2025;.

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Casamitjana A, Catà M, Sánchez I, Combalia M, Vilaplana V. Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds). Cham: Springer; 2018. pp. 381-391.

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Pina O, Dorca E, Vilaplana V. Cell Detection with Transformers – A Paradigm Shift from Segmentation to Detection in Digital Pathology. In 21st European Congress on Digital Pathology. 2025.

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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.

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Bonet D, Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. In International Conference on Acoustics, Speech and Signal Processing. 2022.

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Bonet D, Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. In Asia Pacific Signal and Information Processing Association Annual Summit, APSIPA. Tokyo, Japan; 2021.

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Montolio P, Gasull A, Corbera L, Marqués F. Character recognition and document analysis by morphological techniques. In WORKSHOP ON MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL PROCESSING. 1993. pp. 198–203.

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Gasull A, Corbera L, Marqués F. Character recognition and document analysis by morphological techniq. In MATHEMATICAL MORPHOLOGY. 1993. pp. 198–203.

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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.

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Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.

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Mostefa D, Moreau N, Choukri K, Potamianos G, Chu S, Tyagi A, et al.. The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Language resources and evaluation. 2007;41(3):389–407.

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Domenech T. Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos. Vilaplana V. 2019.

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Pelegrí JBustos. Clasificación de imágenes histológicas mediante redes neuronales convolucionales. Combalia M, Vilaplana V. 2018.

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Tarrés L. Clasificación de lesiones de piel con un ensemble de redes neuronales residuales. Vilaplana V, Combalia M. 2019.

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Jiménez A. Class Weighted Convolutional Features for Image Retrieval. Giró-i-Nieto X, Álvarez JM. 2017.

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Jiménez A, Álvarez JM, Giró-i-Nieto X. Class Weighted Convolutional Features for Visual Instance Search. In 28th British Machine Vision Conference (BMVC). London, UK; 2017.

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