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Casas J. Image compression based on perceptual coding techniques. Torres L. Signal Theory and Communications. [download link]: Universitat Politècnica de Catalunya (UPC); 1996. p. 178.
Casas J, 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 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, 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.
Casas J, 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.
Casas J, 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.
Casas J, 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 J, Kompatsiaris I, Strintzis M. Advanced content-based semantic scene analysis and information retrieval: the Schema Project. In 4th European Workshop on Image Analysis for Multimedia Interactive Services_x000D_. 2003. pp. 43–45.
Caselles P. Integrating low-level motion cues in deep video saliency. McGuinness K, Giró-i-Nieto X. 2019.  (10.04 MB)
Caselles V, Donat R, Haro G. Flux-gradient and source-term balancing for certain high resolution shock-capturing schemes. Computers & Fluids. 2009;38(1):16 - 36.  (595.61 KB)
Castelló DRodríguez. Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D. Casamitjana A, Vilaplana V. 2017.
Catà M, Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Masked V-Net: an approach to brain tumor segmentation. In Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . 2017.
Catà M. Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. Vilaplana V, Casamitjana A. 2016.  (4.52 MB)
Chang C, Pardàs M, Marqués F. A Motion-based Binary Partition Tree approach to Video Object Segmentation. In IEEE International Conference on Image Processing. 2005. pp. 430–433.
Chang C. Hierarchical Partition-Based Representations of Motion-Coherent Regions For Video Object Segmentation. Pardàs M, Marqués F. Universitat Politècnica de Catalunya (UPC); 2007.
Chang C, Pardàs M, Marqués F. Trajectory tree as an object-oriented hierarchical representation for video. IEEE transactions on circuits and systems for video technology. 2009;19:547–560.
Chertó M. EgoMon Gaze and Video Dataset for Visual Saliency Prediction. Gurrin C, Giró-i-Nieto X. 2016.  (1.48 MB)
Coll-Pol M. The Importance of Time in Visual Attention Models. McGuinness K, Giró-i-Nieto X. 2018.  (5.46 MB)
Comas A. Exploring Methods for Enhancing Linear Prediction of Video Sequences. Camps O, Giró-i-Nieto X. 2019.
Comas D, Singh R, Ortega A, Marqués F. Unbalanced multiple description video coding based on a rate-distortion optimization. Eurasip Journal on Applied Signal Processing. 2003;2003:81–90.
Combalia M, Hueto F, Puig S, Malvehy J, Vilaplana V. Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. In CVPR 2020, ISIC Skin Image Analysis Workshop. In Press.
Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018.
Combalia M, Codella NCF, Rotemberg V, Helba B, Vilaplana V, Reiter O, et al.. BCN20000: Dermoscopic Lesions in the Wild. In International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019. 2019.
Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.

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