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Artículo
Generative adversarial networks for anonymized healthcare of lung cancer patients
(MDPI, 2021)
The digital twin in health care is the dynamic digital representation of the patient’s anatomy and physiology through computational models which are continuously updated from clinical data. Furthermore, used in combination ...
Artículo
Assessing the influence of colour and glass type on beer expectations
(Elsevier, 2023)
We evaluated how beer colour and glass type interact when it comes to forming beer expectations. Following previous research, we predicted that, given that colour is a dominant feature in food and beverage expectations, it ...
Artículo
Statistical validation of synthetic data for lung cancer patients generated by using generative adversarial networks
(MDPI, 2022)
The development of healthcare patient digital twins in combination with machine learning technologies helps doctors in therapeutic prescription and in minimally invasive intervention procedures. The confidentiality of ...