Alex Zwanenburg
Alex Zwanenburg
National Center for Tumor Diseases (NCT/UCC) Dresden
Verified email at
Cited by
Cited by
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ...
Radiology 295 (2), 328-338, 2020
Mesenchymal stromal cell-derived extracellular vesicles protect the fetal brain after hypoxia-ischemia
DRMG Ophelders, TGAM Wolfs, RK Jellema, A Zwanenburg, ...
Stem cells translational medicine 5 (6), 754-763, 2016
Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis
A Zwanenburg
European Journal of Nuclear Medicine and Molecular Imaging 46 (13), 2638-2655, 2019
A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling
S Leger, A Zwanenburg, K Pilz, F Lohaus, A Linge, K Zöphel, J Kotzerke, ...
Scientific reports 7 (1), 13206, 2017
Assessing robustness of radiomic features by image perturbation
A Zwanenburg, S Leger, L Agolli, K Pilz, EGC Troost, C Richter, S Löck
Scientific reports 9 (1), 614, 2019
Responsible radiomics research for faster clinical translation
M Vallières, A Zwanenburg, B Badic, CC Le Rest, D Visvikis, M Hatt
Journal of Nuclear Medicine 59 (2), 189-193, 2018
Mesenchymal stem cells induce T-cell tolerance and protect the preterm brain after global hypoxia-ischemia
RK Jellema, TGAM Wolfs, V Lima Passos, A Zwanenburg, ...
PLoS one 8 (8), e73031, 2013
Cerebral inflammation and mobilization of the peripheral immune system following global hypoxia-ischemia in preterm sheep
RK Jellema, V Lima Passos, A Zwanenburg, DRMG Ophelders, ...
Journal of neuroinflammation 10, 1-19, 2013
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
B Kocak, B Baessler, S Bakas, R Cuocolo, A Fedorov, L Maier-Hein, ...
Insights into imaging 14 (1), 75, 2023
RaCaT: an open source and easy to use radiomics calculator tool
E Pfaehler, A Zwanenburg, JR de Jong, R Boellaard
PLoS One 14 (2), e0212223, 2019
IBSI: an international community radiomics standardization initiative
M Hatt, M Vallieres, D Visvikis, A Zwanenburg
Journal of Nuclear Medicine 59 (supplement 1), 287-287, 2018
Why validation of prognostic models matters?
A Zwanenburg, S Löck
Radiotherapy and Oncology 127 (3), 370-373, 2018
An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication
O Morin, M Vallières, S Braunstein, JB Ginart, T Upadhaya, HC Woodruff, ...
Nature Cancer 2 (7), 709-722, 2021
Development and validation of a gene signature for patients with head and neck carcinomas treated by postoperative radio (chemo) therapy
S Schmidt, A Linge, A Zwanenburg, S Leger, F Lohaus, C Krenn, ...
Clinical Cancer Research 24 (6), 1364-1374, 2018
CT imaging during treatment improves radiomic models for patients with locally advanced head and neck cancer
S Leger, A Zwanenburg, K Pilz, S Zschaeck, K Zöphel, J Kotzerke, ...
Radiotherapy and Oncology 130, 10-17, 2019
Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data Sciences Council
M Hatt, AK Krizsan, A Rahmim, TJ Bradshaw, PF Costa, A Forgacs, ...
European Journal of Nuclear Medicine and Molecular Imaging 50 (2), 352-375, 2023
Functional connectivity in preterm infants derived from EEG coherence analysis
EJ Meijer, KHM Hermans, A Zwanenburg, W Jennekens, HJ Niemarkt, ...
European journal of paediatric neurology 18 (6), 780-789, 2014
Standardised convolutional filtering for radiomics
A Depeursinge, V Andrearczyk, P Whybra, J van Griethuysen, H Müller, ...
arXiv preprint arXiv:2006.05470, 2020
Multipotent adult progenitor cells for hypoxic-ischemic injury in the preterm brain
RK Jellema, DRMG Ophelders, A Zwanenburg, M Nikiforou, T Delhaas, ...
Journal of Neuroinflammation 12, 1-14, 2015
2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma
S Starke, S Leger, A Zwanenburg, K Leger, F Lohaus, A Linge, ...
Scientific reports 10 (1), 15625, 2020
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