Universidad Politécnica de Madrid-ko ikertzaileekin lankidetzan egindako argitalpenak (5)

2023

  1. Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC patients

    Journal of Translational Medicine, Vol. 21, Núm. 1

  2. Lung cancer screening using low-dose CT and FDG-PET in liver transplant recipients

    Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society, Vol. 29, Núm. 10, pp. 1100-1108

2022

  1. Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT

    Scientific Reports, Vol. 12, Núm. 1

  2. Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

2020

  1. Design and implementation of predictive models based on radiomics to assess response to immunotherapy in non-small-cell lung cancer

    XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas