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Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, Puig S, Malvehy J. Digitally Stained Confocal Microscopy through Deep Learning. In: International Conference on Medical Imaging with Deep Learning (MIDL 2019). International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019. |
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Salvador A, Drozdzal M, Giró-i-Nieto X, Romero A. Inverse Cooking: Recipe Generation from Food Images. In: CVPR. CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019. |
Ventura C, Bellver M, Girbau A, Salvador A, Marqués F, Giró-i-Nieto X. RVOS: End-to-End Recurrent Network for Video Object Segmentation. In: CVPR. CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019. (5.76 MB) |
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Isart A, Espasa M, Vilaplana V, Sayrol E. CNN-based bacilli detection in sputum samples for tuberculosis diagnosis. In: International Symposium on Biomedical Imaging (ISBI 2019). International Symposium on Biomedical Imaging (ISBI 2019). ; 2019. |
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Gullón N, Vilaplana V. Retinal lesions segmentation using CNNs and adversarial training. In: International Symposium on Biomedical Imaging (ISBI 2019). International Symposium on Biomedical Imaging (ISBI 2019). ; 2019. |
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Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, Berseth M, Belyaev M, Cardoso J, Casamitjana A, et al. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019 . |
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Górriz M, Antony J, McGuinness K, Giró-i-Nieto X, O'Connor N. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In: International Conference on Medical Imaging with Deep Learning (MIDL) 2019. International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019. (3.1 MB) |
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Salvador A. Computer Vision beyond the visible: Image understanding through language Giró-i-Nieto X, Marqués F. Signal Theory and Communications. 2019 ;Phd. |
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Herrera-Palacio A. Recurrent Instance Segmentation with Linguistic Referring Expressions Giró-i-Nieto X, Ventura C, Silberer C. 2019 . (3.6 MB) |
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Domenech T. Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos Vilaplana V. 2019 . |
