Recent Submissions

  • 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
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    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
    Restricted access - publisher's policy
    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
    Restricted access - publisher's policy
    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 ...
  • Single-image super-resolution of sentinel-2 low resolution bands with residual dense convolutional neural networks 

    Salgueiro Romero, Luis Fernando; Marcello Ruiz, Javier; Vilaplana Besler, Verónica (Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-09)
    Article
    Open Access
    Sentinel-2 satellites have become one of the main resources for Earth observation images because they are free of charge, have a great spatial coverage and high temporal revisit. Sentinel-2 senses the same location providing ...
  • Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X 

    Puig Sitjes, Aleix; Jakubowski, Marcin; Naujoks, Dirk; Gao, Yu; Drewelow, Peter; Niemann, Holger; Fellinger, Joris; Casas Pla, Josep Ramon; Salembier Clairon, Philippe Jean; Clemente Bonjour, Rocco (Multidisciplinary Digital Publishing Institute, 2021-12-16)
    Article
    Open Access
    Wendelstein 7-X (W7-X) is the leading experiment on the path of demonstrating that stellarators are a feasible concept for a future power plant. One of its major goals is to prove quasi-steady-state operation in a ...
  • A dual network for super-resolution and semantic segmentation of sentinel-2 imagery 

    Abadal Lloret, Sauc; Salgueiro Romero, Luis Fernando; Marcello Ruiz, Javier; Vilaplana Besler, Verónica (Multidisciplinary Digital Publishing Institute (MDPI), 2021-11-12)
    Article
    Open Access
    There is a growing interest in the development of automated data processing workflows that provide reliable, high spatial resolution land cover maps. However, high-resolution remote sensing images are not always affordable. ...
  • 2D–3D geometric fusion network using multi-neighbourhood graph convolution for RGB-D indoor scene classification 

    Mosella Montoro, Albert; Ruiz Hidalgo, Javier (Elsevier, 2021-12)
    Article
    Restricted access - publisher's policy
    Multi-modal fusion has been proved to help enhance the performance of scene classification tasks. This paper presents a 2D-3D Fusion stage that combines 3D Geometric Features with 2D Texture Features obtained by 2D ...
  • Advanced processing of multiplatform remote sensing imagery for the monitoring of coastal and mountain ecosystems 

    Marcello Ruiz, Javier; Eugenio González, Francisco; Gonzalo Martín, Consuelo; Rodríguez Esparragón, Dionisio; Marqués Acosta, Fernando (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Article
    Open Access
    Coastal areas are key to sustaining biodiversity, but their complexity and variability makes their analysis challenging. On the other hand, mountain ecosystems include a large percentage of the global biodiversity and their ...
  • Mixed integration of CDIO skills into telecommunication engineering curricula 

    Sayrol Clols, Elisa; Bragós Bardia, Ramon; Alarcón Cot, Eduardo José; Cabrera-Bean, Margarita; Calveras Augé, Anna M.; Comellas Colomé, Jaume; O'Callaghan Castellà, Juan Manuel; Pegueroles Vallés, Josep R.; Pla, Enrique; Prat Viñas, Lluís; Sáez Moreno, Germán; Sardà Ferrer, Joan; Tallon Montoro, Carme (2010)
    Article
    Open Access
    Spain has been intensively involved in designing engineering curricula for the last two years and next academic year all engineering schools will be deploying all bachelor programs adapted to the EHEA and to the Spanish ...
  • Projection to latent spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer's disease 

    Casamitjana Díaz, Adrià; Petrone, Paula; Molinuevo, Jose Luis; Gispert, Juan Domingo; Vilaplana Besler, Verónica (2020-07-28)
    Article
    Open Access
    Alzheimer's disease (AD) continuum is defined as a cascade of several neuropathological processes that can be measured using biomarkers, such as cerebrospinal fluid (CSF) levels of Aß, p-tau, and t-tau. In parallel, brain ...
  • Super-resolution of Sensinel-2 imagery using generative adversarial networks 

    Salgueiro Romero, Luis Fernando; Marcello, Javier; Vilaplana Besler, Verónica (Multidisciplinary Digital Publishing Institute (MDPI), 2020-07-28)
    Article
    Open Access
    Sentinel-2 satellites provide multi-spectral optical remote sensing images with four bands at 10 m of spatial resolution. These images, due to the open data distribution policy, are becoming an important resource for several ...
  • FuCiTNet: improving the generalization of deep learning networks by the fusion of learned class-inherent transformations 

    Rey-Arena, Manuel; Guirado, Emilio; Tabik, Siham; Ruiz Hidalgo, Javier (Elsevier, 2020-10)
    Article
    Restricted access - publisher's policy
    It is widely known that very small datasets produce overfitting in Deep Neural Networks (DNNs), i.e., the network becomes highly biased to the data it has been trained on. This issue is often alleviated using transfer ...

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