| 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 | 2982 | 2020 |
| Image biomarker standardisation initiative A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 2016 | 705 | 2016 |
| 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 | 296 | 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 | 281 | 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 | 236 | 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 | 231 | 2019 |
| 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 | 204 | 2023 |
| 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 | 194 | 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 | 108 | 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 | 105 | 2013 |
| METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII B Kocak, T Akinci D’Antonoli, N Mercaldo, A Alberich-Bayarri, B Baessler, ... Insights into imaging 15 (1), 8, 2024 | 96 | 2024 |
| 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 | 86 | 2023 |
| 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 | 84 | 2021 |
| 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 | 83 | 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 | 83 | 2018 |
| Why validation of prognostic models matters? A Zwanenburg, S Löck Radiotherapy and Oncology 127 (3), 370-373, 2018 | 64 | 2018 |
| The image biomarker standardization initiative: standardized convolutional filters for reproducible radiomics and enhanced clinical insights P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, ... Radiology 310 (2), e231319, 2024 | 61 | 2024 |
| 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 | 57 | 2019 |
| 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 | 55 | 2018 |
| 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 | 49 | 2020 |
Steffen LöckOncoRay - National Center of Radiation Research in OncologyAdresse e-mail validée de oncoray.de
