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Combalia M, Vilaplana V. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281.
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.
Coll-Pol M. The Importance of Time in Visual Attention Models. McGuinness K, Giró-i-Nieto X. 2018.  (5.46 MB)
Chertó M. EgoMon Gaze and Video Dataset for Visual Saliency Prediction. Gurrin C, Giró-i-Nieto X. 2016.  (1.48 MB)
Chávez Plasencia A, García-Gómez P, Bernal Pérez E, de-Mas-Giménez G, Casas JR, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).  (9.94 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.
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)
Castelló DRodríguez. Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D. Casamitjana A, Vilaplana V. 2017.
Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.  (17.1 MB)
Caselles P, Ramon E, Garcia J, Giró-i-Nieto X, Moreno F, Triginer G. SIRA: Relightable Avatars from a Single Image. In Winter Conference on Applications of Computer Vision (WACV). 2023.
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)
Casas JR, Torres L. Diseño de filtros de imagen con funciones de transferencia. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 965–969.
Casas JR, Torres L. Strong edge features for image coding. In: Schafer RW, Maragos P, Butt MA. Mathematical Morphology and its Applications to Image and Signal Processing. Boston: Springer; 1996. pp. 443–450.
Casas JR, Torres L. A region-based subband coding scheme. Signal Processing: Image Communication. 1997;10(1-3):173–200.
Casas JR, Torres L. A feature-based subband coding schene. In THE 1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH & SIGNAL PROCESSING. 1996. pp. 2357–2360.  (480.35 KB)
Casas JR. Codificacion run-length de imagenes de detalle. In VIII Simposium Nacional de la Unión Científica Internacional de Radio. 1993. pp. 349–399.
Casas JR, Torres L. Morphological filter for lossless image subsampling. In IEEE International Conference on Image Processing'94. 1994. pp. 903–907.
Casas JR, 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 JR, Puig-Sitjes A, Puig-Folch P. Mutual feedback scheme for face detection and tracking aimed at density estimation in demonstrations. IEE Proceedings-Vision, Image and Signal Processing. 2005;152(3):334–346.
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)

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