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Recurrent Instance Segmentation using Sequences of Referring Expressions. In NeurIPS workshop on Visually Grounded Interaction and Language (ViGIL). Vancouver, Canada; 2019. (1.13 MB)
. Recurrent Instance Segmentation with Linguistic Referring Expressions. . 2019. (3.6 MB)
. Retinal lesions segmentation using CNNs and adversarial training. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.
. RVOS: End-to-End Recurrent Network for Video Object Segmentation. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019. (5.76 MB)
. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study. IEEE Journal of Biomedical and Health Informatics. 2019;.
. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. . Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019.
. . Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D. In Congreso Ibérico de Agroingeniería. Huesca: Universidad de Zaragoza (UZA); 2019. (1.21 MB)
. Video Object Linguistic Grounding. In ACM Multimedia Workshop on Multimodal Understanding and Learning for Embodied Applications (MULEA). Nice, France: ACM; 2019. (441.12 KB)
. Action Tube Extraction based 3D -CNN for RGB-D Action Recognition. In International Conference on Content-Based Multimedia Indexing CBMI 2018. 2018. (3.09 MB)
. Advances in utilization of hierarchical representations in remote sensing data analysis. In Reference Module in Earth Systems and Environmental Sciences. Elsevier; 2018. pp. 77-107.
. Advances in utilization of hierarchical representations in remote sensing data analysis. In Reference Module in Earth Systems and Environmental Sciences. Elsevier; 2018. pp. 77-107.
. . Brain lesion segmentation using Convolutional Neuronal Networks. . 2018. (3.15 MB)
. Brain MRI Super-Resolution using Generative Adversarial Networks. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
. 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.
. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.
. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.
. . . Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
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