Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. - Andre Dekker; Cary Dehing-Oberije; Dirk De Ruysscher; Philippe Lambin; Kartik Komati; Glenn Fung; Shipeng Yu; Andrew Hope; Wilfried De Neve; Yolande Lievens (ICMLA, 2009)

The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients - An in-silico Trial Using Machine Learning Techniques. - Georgi I. Nalbantov; Andre Dekker; Dirk De Ruysscher; Philippe Lambin; Evgueni N. Smirnov (ICMLA (2), 2011)

Implications of Clinicians' Attitudes Towards Clinical Decision Support Systems. - Anshu Ankolekar; Britt van der Heijden; Andre Dekker; Cheryl Roumen; Dirk De Ruysscher; Bart Reymen; Ruud Houben; Peter Fick; Sander Puts; Joeri Veugen; Adriana Berlanga; Cary Oberije; et al. (MIE, 2020)

A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy. - Mahmoud Aldraimli; Daniele Soria; Diana Grishchuck; Samuel Ingram; Robert J. Lyon; Anil Mistry; Jorge Oliveira 004; Robert Samuel; Leila E. A. Shelley; Sarah Osman; Miriam V. Dwek; David Azria; et al. (Comput. Biol. Medicine, 2021)

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face). - Fridolin Haugg; Grace Lee; John He; Leonard Nürnberg; Dennis Bontempi; Danielle S. Bitterman; Paul J. Catalano; Vasco Prudente; Dmitrii Glubokov; Andrew Warrington; Suraj Pai; Dirk De Ruysscher; et al. (CoRR, 2025)