• Anonymizing personal images using generative adversarial networks 

      Piacentino, Esteban; Angulo Bahón, Cecilio (Springer, 2020)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      This paper introduces a first approach on using Generative Adversarial Networks (GANs) for the generation of fake images, with the objective of anonymizing patients information in the health sector. This is intended to ...
    • Generating fake data using GANs for anonymizing healthcare data 

      Angulo Bahón, Cecilio; Piacentino, Esteban (Springer, 2020)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      EDITH is a project aiming to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, proposing the creation of digital twins for personalised healthcare. This paper elaborates ...
    • Generating synthetic ecgs using gans for anonymizing healthcare data 

      Piacentino, Esteban; Angulo Bahón, Cecilio; Guarner Escribano, Alvaro (2021-01-01)
      Article
      Accés obert
      In personalized healthcare, an ecosystem for the manipulation of reliable and safe private data should be orchestrated. This paper describes an approach for the generation of synthetic electrocardiograms (ECGs) based on ...
    • Generative Adversarial Network based machine for fake data generation 

      Piacentino, Esteban (Universitat Politècnica de Catalunya, 2019-10-09)
      Projecte Final de Màster Oficial
      Accés obert
      This paper introduces a first approach on using Generative Adversarial Networks (GANs) for the generation of fake data, with the objective of anonymizing patients information in the health sector. This is intended to create ...
    • Rendiment de les aplicacions en l'entorn RTB 

      Piacentino, Esteban (Universitat Politècnica de Catalunya, 2016-06-23)
      Treball Final de Grau
      Accés restringit per acord de confidencialitat
      Realitzat a/amb:   Smadex