Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods. - Alexander Decruyenaere; Philippe Decruyenaere; Patrick Peeters; Frank Vermassen; Tom Dhaene; Ivo Couckuyt (BMC Medical Informatics Decis. Mak., 2015)

Synthetic Data: Can We Trust Statistical Estimators? - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Christiaan Polet; Johan Decruyenaere; Stijn Vansteelandt; Thomas Demeester (CoRR, 2023)

Debiasing Synthetic Data Generated by Deep Generative Models. - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Johan Decruyenaere; Christiaan Polet; Thomas Demeester; Stijn Vansteelandt (NeurIPS, 2024)

The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data. - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Christiaan Polet; Johan Decruyenaere; Stijn Vansteelandt; Thomas Demeester (UAI, 2024)

Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer. - Daan De Maeseneer; Pieter De Visschere; Mats Van den Broecke; Felix Delbare; Geert Villeirs; Sofie Verbeke; Valérie Fonteyne; Charles Van Praet; Karel Decaestecker; Alexander Decruyenaere; Sylvie Rottey (BMC Medical Imaging, 2024)