Ara es mostren els items 1-12 de 472

    • Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D 

      Gené Mola, Jordi; Vilaplana Besler, Verónica; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Gregorio López, Eduard (Universidad de Zaragoza (UZA), 2019)
      Text en actes de congrés
      Accés obert
      La detección remota de frutos será una herramienta indispensable para la gestión agronómica optimizada y sostenible de las plantaciones frutícolas del futuro, con aplicaciones en previsión de cosecha, robotización de la ...
    • Big data, salut i cooperació universitària per al desenvolupament 

      López Codina, Daniel; Sayrol Clols, Elisa; Abelló Gamazo, Alberto (2022-02-10)
      Article
      Accés obert
      Es presenten tres projectes de cooperació universitària al desenvolupament desenvolupats a la UPC amb la col·laboració d'altres actors. Es constata la importància de la ciència i la tecnologia per fer possible el desenvolupament ...
    • Comparative study of upsampling methods for super-resolution in remote sensing 

      Salgueiro Romero, Luis Fernando; Marcello Ruiz, Javier; Vilaplana Besler, Verónica (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2019)
      Text en actes de congrés
      Accés obert
      Many remote sensing applications require high spatial resolution images, but the elevated cost of these images makes some studies unfeasible. Single-image super-resolution algorithms can improve the spatial resolution of ...
    • Sign language video retrieval with free-form textual queries 

      Cardoso Duarte, Amanda; Albanie, Samuel; Giró Nieto, Xavier; Varol, Gül (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Comunicació de congrés
      Accés obert
      Systems that can efficiently search collections of sign language videos have been highlighted as a useful application of sign language technology. However, the problem of searching videos beyond individual keywords has ...
    • Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X 

      Sunn Pedersen, Thomas; Abramovic, Ivana; Agostinetti, Piero; Agredano Torres, Manuel; Äkäslompolo, Simppa; Alcuson Belloso, Jorge; Aleynikov, Pavel; Caminal Colell, Ivan; Casas Pla, Josep Ramon; Salembier Clairon, Philippe Jean (2022-04-01)
      Article
      Accés obert
      We present recent highlights from the most recent operation phases of Wendelstein 7-X, the most advanced stellarator in the world. Stable detachment with good particle exhaust, low impurity content, and energy confinement ...
    • DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 hospitals—planification, implementation, and preliminary results 

      Temprana Salvador, Jordi; López García, Pablo; Castellví Vives, Josep; Haro Martín, Luis de; Ballesta Carbonell, Eudald; Rojas Abusleme, Matias; Arrufat Vila, Miquel; Marqués Acosta, Fernando; Casas Pla, Josep Ramon; Gallego Pérez, Carles (2022-03-30)
      Article
      Accés obert
      Complete digital pathology transformation for primary histopathological diagnosis is a challenging yet rewarding endeavor. Its advantages are clear with more efficient workflows, but there are many technical and functional ...
    • Context-unsupervised adversarial network for video sensors 

      Canet Tarrés, Gemma; Pardàs Feliu, Montse (Multidisciplinary Digital Publishing Institute (MDPI), 2022-04-21)
      Article
      Accés obert
      Foreground object segmentation is a crucial first step for surveillance systems based on networks of video sensors. This problem in the context of dynamic scenes has been widely explored in the last two decades, but it ...
    • Channel-wise early stopping without a validation set via NNK polytope interpolation 

      Bonet Solé, David; Ortega, Antonio; Ruiz Hidalgo, Javier; Sarath Shekkizhar, Sarath (2021)
      Text en actes de congrés
      Accés obert
      State-of-the-art neural network architectures continue to scale in size and deliver impressive generalization results, although this comes at the expense of limited interpretability. In particular, a key challenge is to ...
    • Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-ß PET and CSF Aß42 status: findings using machine learning 

      Cumplido Mayoral, Irene; Shekari, Mahnaz; Salvado, Gemma; Operto, Grégory; Cacciaglia, Raffaele; Falcón, Carles; Niñerola Baizán, Aida; Perissinotti, Andrés; Minguillón, Carolina; Vilaplana Besler, Verónica (Wiley, 2021-12)
      Article
      Accés obert
      Background: CSF Aß42 is thought to show AD-related alterations earlier than amyloid-ß PET. Therefore, cognitively unimpaired (CU) individuals with abnormal CSF Aß42 and normal amyloid-ß PET are believed to be in the ...
    • Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s disease 

      Cumplido Mayoral, Irene; Salvado, Gemma; Shekari, Mahnaz; Operto, Grégory; Falcón, Carles; Milà Alomà, Marta; Niñerola Baizán, Aida; Molinuevo Guix, José Luis; Zetterberg, Henrik; Blennow, Kaj; Suarez-Calvet, Marc; Vilaplana Besler, Verónica; Gispert López, Juan Domingo (Wiley, 2021-12)
      Article
      Accés obert
      Background: Plasma biomarkers have demonstrated excellent agreement with established markers of amyloid-ß (Aß) positivity (PET and CSF) to identify patients with symptomatic AD. However, their predictive capacity in ...
    • Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI 

      Cumplido Mayoral, Irene; Ingala, Silvia; Lorenzini, Luigi; Wink, Alle Meije; Haller, Sven; Molinuevo Guix, Jose Luis; Wolz, Robin; Palombit, Alessandro; Schwarz, Adam J.; Vilaplana Besler, Verónica (Wiley, 2021-12)
      Article
      Accés obert
      Background: Structural MRI measurements can contribute to the prediction of amyloid pathology in cognitively unimpaired (CU) individuals. In this work, we aimed at studying the predictive capacity, robustness, and ...
    • QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation -- analysis of ranking metrics and benchmarking results 

      Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Mora Ballestar, Laura; Vilaplana Besler, Verónica (2021-12-19)
      Report de recerca
      Accés obert
      Deep learning (DL) models have provided the state-of-the-art performance in a wide variety of medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges. However, the task of focal ...