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Casamitjana A, Puch S, Aduriz A, Vilaplana V. 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.
Casamitjana A. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. Vilaplana V. Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019.
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).
Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. 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.
Casamitjana A, Petrone P, Molinuevo JLuis, Gispert JD, Vilaplana V. 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.
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Casamitjana A, Puch S, Aduriz A, Sayrol E, Vilaplana V. 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)
Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.
Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
Casamitjana A, Vilaplana V, Puch S, Aduriz A, Lopez C, Operto G, et al.. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
Casamitjana A, Petrone P, Molinuevo JL, Gispert JD, Vilaplana V. 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;.
Casamitjana A, Catà M, Sánchez I, Combalia M, Vilaplana V. 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.
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. 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.
Casanova A, Pujol-Miró A, Ruiz-Hidalgo J, Casas J. Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016.  (2.04 MB)
Casas J, Torres L. Coding of significant features in very low bit-rate video systems. In SPIE'S Visual Communications'94. 1994. pp. 73–85.
Casas J, Neumann J. Context Awareness triggered by Multiple Perceptual Analyzers. In Emerging Artificial Intelligence Applications in Computer Engineering. Amsterdam: IOS Press; 2007. pp. 371–383.
Casas J, Esteban P, Moreno A, Carrera M. Morphological scheme for morphometric analysis of epidermal biopsy images. In: Serra J, Soille P. Mathematical Morphology and its Applications to Image Processing. Dordrecht: Springer; 1994. pp. 325–331.
Casas J, Salembier P, Torres L. Morphological interpolation for texture coding. In IEEE International Conference on Image Processing, ICIP 1995. Washington DC, USA; 1995. pp. 903–907.
Casas J, Torres L, Jareño M. Efficient coding of residual images. In SPIE Visual Communications '93. Cambridge, MA: SPIE; 1993. pp. 694–705.
Casas J, Torres L. A region-based subband coding scheme. Signal Processing: Image Communication. 1997;10(1-3):173–200.
Casas J, Torres L. Residual image coding using mathematical morphology. In IEEE International Conference on Acoustics, Speech and Signal Processing. 1994. pp. 597–600.
Casas J, Torres L. Feature-based video coding using Mathematical Morphology. In VII European Signal Processing Conference (EUSIPCO). Edinburgh: EURASIP; 1994.
Casas J, Puig-Sitjes A, Puig-Folch P. Spatial-temporal Video Analysis for Improved Pedestrian Detection: Application to Density Estimation and Tracking in Demonstrations. In Image Analysis for Multimedia Interactive Services. 2004. pp. 334–346.
Casas J, Torres L, Gasull A. Una interpretación colorimétrica en clasificaciones fuzzy de imágenes de teledetección. In V Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1992. pp. 281–287.

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