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. 2D to 3D body pose estimation for sign language with Deep Learning. . 2020. 
(2.97 MB)
(2.97 MB). 2D-to-3D Lifting of Sign Language Body Poses with Recurrent Neural Networks. . Barcelona: UPC ETSETB TelecomBCN; 2021 . (340.44 KB)
(340.44 KB). 3D compression of medical data based on cube-splitting and embedded block coding. In ProRISC/IEEE Workshop. Veldhoven, The Netherlands; 2000.
. 619 - un ejemplo de diseño del laboratorio para asignaturas con créditos teóricos y prácticos. In VIII Congreso Universitario de Innovación Educativa en las Enseñanzas Técnicas. 2000. pp. 233–240.
. Accurate and automatic NOAA-AVHRR image navigation using a global contour matching approach. In International Geoscience and remote Sensing Symposium. 2000. pp. 639–642.
. Acoustic event detection based on feature-level fusion of audio and video modalities. Eurasip journal on advances in signal processing. 2011;2011:1–11.
. Active Deep Learning for Medical Imaging Segmentation. . 2017. (2.84 MB)
(2.84 MB). Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017. (187.43 KB)
(187.43 KB). Active Deep Learning for Medical Imaging Segmentation. . 2017. (2.84 MB)
(2.84 MB). Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017. (187.43 KB)
(187.43 KB). Adversarial Learning for Feature Shift Detection and Correction. In Neural Information Processing Systems (NeurIPS). New Orleans, USA; 2023.
. Adversarial Learning for Feature Shift Detection and Correction. In Neural Information Processing Systems (NeurIPS). New Orleans, USA; 2023.
. 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.
. 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.
. Analisis de no estacionariedades en la interpolacion de imagenes. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 985–989.
. Analisis y optimizacion del algoritmo k-means aplicado a teledeteccion en ima. In IV Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1990. pp. 17–23.
. Analysis and optimization of the K-Means algorithm for remote sensing applications. In Pattern recognition and image analysis. 1992. pp. 0–0.
. Antiextensive connected operators for image and sequence processing. IEEE transactions on image processing. 1998;7:555–570. (487.58 KB)
(487.58 KB). Anti-extensive Connected Operators with Application to Image Sequences. In VII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. Barcelona, Spain; 1997. pp. 151–156. (228.46 KB)
(228.46 KB). Aplicació rica d'internet per a la consulta amb text i imatge a la Corporació Catalana de Mitjans Audiovisuals. . 2009. (6.01 MB)
(6.01 MB). Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). 2022.
. Aspectos Clínicos-toxicológicos en los trabajadores de una industria productora de cromatos. Annual review of pharmacology and toxicology. 1990;7:1:13–1:20.
. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019. (3.1 MB)
(3.1 MB). Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019. (3.1 MB)
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