Automatic detection of burst synchrony in preterm infants. - Alex Zwanenburg; Eduard Meijer; Ward Jennekens; Carola van Pul; Boris Kramer; Peter Andriessen (EMBC, 2012)

Image biomarker standardisation initiative - feature definitions. - Alex Zwanenburg; Stefan Leger; Martin Vallières; Steffen Löck (CoRR, 2016)

Assessing robustness of radiomic features by image perturbation. - Alex Zwanenburg; Stefan Leger; Linda Agolli; Karoline Pilz; Esther G. C. Troost; Christian Richter; Steffen Löck (CoRR, 2018)

An Integrative Analysis of Image Segmentation and Survival of Brain Tumour Patients. - Sebastian Starke; Carlchristian Eckert; Alex Zwanenburg; Stefanie Speidel; Steffen Löck; Stefan Leger (BrainLes@MICCAI (1), 2019)

Standardised convolutional filtering for radiomics. - Adrien Depeursinge; Vincent Andrearczyk; Philip Whybra; Joost van Griethuysen; Henning Müller; Roger Schaer; Martin Vallières; Alex Zwanenburg (CoRR, 2020)

2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma. - Sebastian Starke; Stefan Leger; Alex Zwanenburg; Karoline Leger; Fabian Lohaus; Annett Linge; Andreas Schreiber; Goda Kalinauskaite; Inge Tinhofer; Nika Guberina; Maja Guberina; Panagiotis Balermpas; et al. (RODARE, 2020)

Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer? - Iram Shahzadi; Annika Lattermann; Annett Linge; Alex Zwanenburg; Christian Baldus; Jan C. Peeken; Stephanie E. Combs; Michael Baumann 006; Mechthild Krause; Esther G. C. Troost; Steffen Löck (MICCAI (7), 2021)

Graph data modelling for outcome prediction in oropharyngeal cancer patients. - Nithya Bhasker; Stefan Leger; Alexander Zwanenburg; Chethan Babu Reddy; Sebastian Bodenstedt; Steffen Löck; Stefanie Speidel (CoRR, 2023)

Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients. - Sebastian Starke; Alex Zwanenburg; Karoline Leger; Fabian Lohaus; Annett Linge; Andreas Schreiber; Goda Kalinauskaite; Inge Tinhofer; Nika Guberina; Maja Guberina; Panagiotis Balermpas; Jens von der Grün; et al. (RODARE, 2023)

Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling. - Mahdi Ait Lhaj Loutfi; Teodora Boblea Podasca; Alex Zwanenburg; Taman Upadhaya; Jorge Barrios; David R. Raleigh; William C. Chen; Dante P. I. Capaldi; Hong Zheng; Olivier Gevaert; Jing Wu; Alvin C. Silva; et al. (CoRR, 2024)

MIRP: A Python package for standardised radiomics. - Alex Zwanenburg; Steffen Löck (J. Open Source Softw., 2024)