BioinformaticsScientific ReportsPeer-reviewed
Dual Adversarial Deconfounding Autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data
Lara Cavinato, Michela Carlotta Massi, Martina Sollini…·Francesca Ieva
This paper introduces a dual adversarial deconfounding autoencoder to remove batch effects from multi-center radiomics data, improving prognostic model performance for Hodgkin Lymphoma.
5 citations