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] . 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.
. Caption text extraction for indexing purposes using a hierarchical region-based image model. In 16th International Conference on Image Processing. 2009. pp. 1869–1872.
. On building a hierarchical region-based representation for generic image analysis. In IEEE International Conference on Image Processing. 2007.
. Brain-age prediction and its associations with glial and synaptic CSF markers. In Alzheimer's Association International Conference. Amsterdam, Netherlands; 2023.
. Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum. In Alzheimer’s Association International Conference (AAIC). Amsterdam, Netherlands; 2023.
. Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation. In MICCAI 2020 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2020.
. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
. Brain MRI Super-Resolution using Generative Adversarial Networks. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
. Brain lesion segmentation using Convolutional Neuronal Networks. . 2018. 
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(3.15 MB). Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex. In 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD). San Francisco, USA; 2022.
. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration. In Alzheimer's Association International Conference. 2022.
. Binary partition trees for object detection. IEEE transactions on image processing. 2008;17:1–16. (1.66 MB)
(1.66 MB). Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Transactions on Medical Imaging. 2019;.
. BCN20000: Dermoscopic Lesions in the Wild. In International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019. 2019.
. Automatic Keyframe Selection based on Mutual Reinforcement Algorithm. In CBMI (Content-Based Multimedia Indexing). Veszprem; 2013. (2.98 MB)
(2.98 MB). Automatic extraction and analysis of visual objects information. In Multimedia content and the semantic web. Wiley; 2005. pp. 203–221.
. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
. Audio, Video and Multimodal Person Identification in a Smart Room. In Lecture notes in computer science - Multimodal Technologies for Perception of Humans. 2006. pp. 258–269. (321.95 KB)
(321.95 KB). Audio, Video and Multimodal Person Identification in a Smart Room. In CLEAR'06 Evaluation Campaign and Workshop - Classification of Events, Activities and Relationships. 2007. pp. 258–269. (294.95 KB)
(294.95 KB). Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). 2022.
. Analysis of the dynamics of gray matter reduction in Alzheimer's Disease. . 2016. (9.47 MB)
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