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Casas JR, Salvador J. Image-based Multi-view Scene Analysis using 'Conexels'. In HCSNet Workshop on the Use of Vision in Human-Computer Interaction (VisHCI 2006). 2006. pp. 203–212.  (252 KB)
Casas JR, Neumann J. Context Awareness triggered by Multiple Perceptual Analyzers. In Emerging Artificial Intelligence Applications in Computer Engineering. Amsterdam: IOS Press; 2007. pp. 371–383.  (878.64 KB)
Casas JR. Morphological Interpolation for Image Coding. In ICAOS '96: 12th International Conference on Analysis and Optimization of Systems Images, Wavelets and PDEs . Paris; 1996. pp. 295–304.  (213.54 KB)
Casas JR, Torres L. Coding of significant features in very low bit-rate video systems. In SPIE'S Visual Communications'94. 1994. pp. 73–85.
Casas JR, Torres L. Feature-based video coding using Mathematical Morphology. In VII European Signal Processing Conference (EUSIPCO). Edinburgh: EURASIP; 1994.  (627.21 KB)
Casas JR, 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 JR. Morphological Interpolation for Image Coding. In Images, Wavelets and PDEs. Berlin / Heidelberg: Springer; 1996. pp. 295–304.
Casas JR, Torres L, Jareño M. Efficient coding of residual images. In SPIE Visual Communications '93. Cambridge, MA: SPIE; 1993. pp. 694–705.
Casas JR. Image compression based on perceptual coding techniques. Torres L. Signal Theory and Communications. [download link]: Universitat Politècnica de Catalunya (UPC); 1996. p. 178.
Casas JR, Hillion A, Roux C, Torres L, Gasull A. Fuzzy classification of Remote Sensing images: a pseudocolor representation of fuzzy partitions. In SPIE Neural and Stochastic Methods in Image and Signal Processing. San Diego, CA: SPIE; 1992.  (809.57 KB)
Casas JR, Torres L. Residual image coding using mathematical morphology. In IEEE International Conference on Acoustics, Speech and Signal Processing. 1994. pp. 597–600.
Casas JR, 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.  (651.21 KB)
Casas JR, 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.
Casas JR, Esteban P, Moreno A, Carrera M. Morphological scheme for morphometric analysis of epidermal biopsy images. In International Symposium on Mathematical Morphology and its Applications to Image Processing II. Fontainebleau; 1994.  (314.16 KB)
Casas JR, Torres L. Coding of details in very low bit-rate video systems. IEEE transactions on circuits and systems for video technology. 1994;4(3):317–327.  (1.51 MB)
Casas JR, Torres L. Strong edge features for image coding. In International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing III. 1996. pp. 443–450.  (277.78 KB)
Casanova A, Pujol-Miró A, Ruiz-Hidalgo J, Casas JR. Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016.  (2.04 MB)
Casamitjana A, Petrone P, Tucholka A, Falcon C, Skouras S, Molinuevo JLuis, et al.. MRI-Based Screening of Preclinical Alzheimer's Disease for Prevention Clinical Trials. Journal of Alzheimer's Disease. 2018;64(4).
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 PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67.
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, 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, 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, Puch S, Aduriz A, Lopez C, Operto G, et al.. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
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, 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;.

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