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MRI-Based Screening of Preclinical Alzheimer's Disease for Prevention Clinical Trials. Journal of Alzheimer's Disease. 2018;64(4).
. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67.
. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019.
. 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. In Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI. Granada, Spain; 2018.
. Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease. Frontiers in Neurology, section Applied Neuroimaging. 2020;11.
. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
. Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.
. 3D Convolutional Neural Networks for Brain Tumor Segmentation. In MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2016. (226.04 KB)
. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
. 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;.
. 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.
. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. Alzheimer's & Dementia: The Journal of the Alzheimer's Association . 2018;14(7):P869-P870.
. Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016. (2.04 MB)
. Coding of significant features in very low bit-rate video systems. In SPIE'S Visual Communications'94. 1994. pp. 73–85.
. Context Awareness triggered by Multiple Perceptual Analyzers. In Emerging Artificial Intelligence Applications in Computer Engineering. Amsterdam: IOS Press; 2007. pp. 371–383.
. Morphological scheme for morphometric analysis of epidermal biopsy images. In: . Mathematical Morphology and its Applications to Image Processing. Dordrecht: Springer; 1994. pp. 325–331.
. Morphological interpolation for texture coding. In IEEE International Conference on Image Processing, ICIP 1995. Washington DC, USA; 1995. pp. 903–907.
. Efficient coding of residual images. In SPIE Visual Communications '93. Cambridge, MA: SPIE; 1993. pp. 694–705.
. A region-based subband coding scheme. Signal Processing: Image Communication. 1997;10(1-3):173–200.
. Residual image coding using mathematical morphology. In IEEE International Conference on Acoustics, Speech and Signal Processing. 1994. pp. 597–600.
. Feature-based video coding using Mathematical Morphology. In VII European Signal Processing Conference (EUSIPCO). Edinburgh: EURASIP; 1994.
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