Argitalpenak (847) LARA LLORET IGLESIAS argitalpenak

2024

  1. A retrospective study of deep learning generalization across two centers and multiple models of X-ray devices using COVID-19 chest-X rays

    Scientific Reports, Vol. 14, Núm. 1

  2. An end-to-end computer vision system based on deep learning for pavement distress detection and quantification

    Construction and Building Materials, Vol. 416

  3. Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment

    Results in Engineering, Vol. 23

2023

  1. A deep learning model for prognosis prediction after intracranial hemorrhage

    Journal of Neuroimaging, Vol. 33, Núm. 2, pp. 218-226

  2. A second update on mapping the human genetic architecture of COVID-19

    Nature

  3. Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows

    Scientific Data

  4. Novel approach based on artificial intelligence to evaluate individual wine intake

    BIO Web of Conferences

  5. Novel deep learning method for coronary artery tortuosity detection through coronary angiography

    Scientific Reports, Vol. 13, Núm. 1

  6. Utility of mouth rinses with povidone-iodine and hydrogen peroxide in patients with COVID-19

    Enfermedades Infecciosas y Microbiologia Clinica, Vol. 41, Núm. 3, pp. 173-175

2022

  1. Artificial Intelligence in Radiology: an introduction to the most important concepts

    Radiologia, Vol. 64, Núm. 3, pp. 228-236

  2. Artificial intelligence to estimate wine volume from single-view images

    Heliyon, Vol. 8, Núm. 9

  3. Erratum to: Measurement of exclusive Υ photoproduction from protons in pPb collisions at s NN = 5.02 TeV (The European Physical Journal C, (2019), 79, 3, (277), 10.1140/epjc/s10052-019-6774-8)

    European Physical Journal C

  4. Erratum to: Measurement of the top quark mass with lepton+jets final states using pp collisions at s = 13 TeV (The European Physical Journal C, (2018), 78, 11, (891), 10.1140/epjc/s10052-018-6332-9)

    European Physical Journal C

  5. Erratum to: Search for new physics in dijet angular distributions using proton-proton collisions at s = 13 TeV and constraints on dark matter and other models (The European Physical Journal C, (2018), 78, 9, (789), 10.1140/epjc/s10052-018-6242-x)

    European Physical Journal C

  6. Erratum to: Searches for long-lived charged particles in pp collisions at s = 7 and 8 TeV (Journal of High Energy Physics, (2013), 2013, 7, (122), 10.1007/JHEP07(2013)122)

    Journal of High Energy Physics

2021

  1. A primer on deep learning and convolutional neural networks for clinicians

    Insights into Imaging, Vol. 12, Núm. 1

  2. Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray

    Journal of Digital Imaging, Vol. 34, Núm. 2, pp. 242-256

  3. Long-term outcomes of patients following hospitalization for coronavirus disease 2019: a prospective observational study

    Clinical Microbiology and Infection, Vol. 27, Núm. 8, pp. 1151-1157

2020

  1. A cloud-based framework for machine learning workloads and applications

    IEEE Access, Vol. 8, pp. 18681-18692

  2. Erratum to: Study of dijet events with a large rapidity gap between the two leading jets in pp collisions at s = 7 Te (The European Physical Journal C, (2018), 78, 3, (242), 10.1140/epjc/s10052-018-5691-6)

    European Physical Journal C