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Pont-Tuset J, Marqués F. Supervised Assessment of Segmentation Hierarchies. In European Conference on Computer Vision (ECCV). 2012.  (421.65 KB)
Salgueiro L, Marcello J, Vilaplana V. Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote Sensing. 2020;12(15).
Salgueiro L. Super-resolution and semantic segmentation of remote sensing images using deep learning techniques. Vilaplana V, Marcello J. Signal Theory and Communications Department. 2022.
Salembier P. Study on nonlocal morphological operators. In IEEE International Conference on Image Processing, ICIP 2009. Cairo, Egypt; 2009.  (454.4 KB)
Bellot P, Salembier P, Oliveras A, Meyer PE. Study of Normalization and Aggregation Approaches for Consensus Network Estimation. In 2015 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Artificial Life (2015 IEEE ALIFE). Cape Town, South Africa; 2015.  (317 KB)
Hurtado C, Shekkizhar S, Ruiz-Hidalgo J, Ortega A. Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rhodes Island, Greece; 2023.  (1.4 MB)
Bellot P. Study of Gene Regulatory Networks Inference Methods from Gene Expression Data. Salembier P. 2017.  (2.73 MB)
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.
Salembier P. Study of Binary Partition Tree Pruning Techniques for Polarimetric SAR images. In International Symposium on Mathematical Morphology, ISMM 2015. Reykjavik, Iceland: Springer; 2015.  (2.52 MB)
Salembier P. Structuring element adaptation for morphological filters. Journal of visual communication and image representation. 1992;3:115–136.
Salembier P, Benitez AB. Structure description tools. Journal of the American Society for Information Science. 2007;58:1329–1337.  (722.43 KB)
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.
Casas J, 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 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.
Pardàs M, Anglada D, Espina M, Marques F, Salembier P. Stromal tissue segmentation in Ki67 histology images based on cytokeratin-19 stain translation. JOURNAL OF MEDICAL IMAGING. 2023;10(3).  (13.78 MB)
Haro G, Randall G, Sapiro G. Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds. In Neural Information Processing Systems NIPS. Montreal: NIPS; 2007.  (702.08 KB)
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.
Torres L, Casas J, Arias E. Stochastic vector quantization of images. Signal Processing. 1997;62(3):291–301.
Alcoverro M. Stochastic optimization and interactive machine learning for human motion analysis. Pardàs M, Casas J. Signal Theory and Communications. [Barcelona]: UPC; 2014.  (17.16 MB)
Marqués F, Gasull A. Stochastic image model for segmentation. application to image coding. In SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS. 1993. pp. 265–272.
Oliveras A, Garrido L, Salembier P. Stereo image analyis using connected operators. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1997. Munich, Germany; 1997. pp. 3169–3172.  (213.59 KB)
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
Girbau A. Sports broadcasting and multiple object tracking with deep learning methods. Rius I, Giró-i-Nieto X, Marqués F. Signal Theory and Communications. 2021.
Roldán F. Speech-conditioned Face Generation with Deep Adversarial Networks. Pascual-deLaPuente S, Salvador A, McGuinness K, Giró-i-Nieto X. 2018.  (1.79 MB)
Oriol B. Species-agnostic Local Ancestry Inference on Genomic Data with Convolutions. Mas-Montserrat D, Ioannidis AG, Giró-i-Nieto X. 2021.

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