| A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models E Christodoulou, MA Jie, GS Collins, EW Steyerberg, JY Verbakel, ... Journal of clinical epidemiology, 2019 | 1328 | 2019 |
| Reporting and interpreting decision curve analysis: a guide for investigators B Van Calster, L Wynants, JFM Verbeek, JY Verbakel, E Christodoulou, ... European urology 74 (6), 796-804, 2018 | 652 | 2018 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 147 | 2021 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, B Menze arXiv. org, 2022 | 130* | 2022 |
| Triaging women with pregnancy of unknown location using two‐step protocol including M6 model: clinical implementation study S Bobdiwala, E Christodoulou, J Farren, N Mitchell‐Jones, C Kyriacou, ... Ultrasound in Obstetrics & Gynecology 55 (1), 105-114, 2020 | 35 | 2020 |
| Prognostic value of the progesterone receptor by subtype in patients with estrogen receptor‐positive, HER‐2 negative breast cancer K Van Asten, L Slembrouck, S Olbrecht, L Jongen, O Brouckaert, ... The oncologist 24 (2), 165-171, 2019 | 34 | 2019 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods, 1-13, 2024 | 23 | 2024 |
| External validation of models to predict the outcome of pregnancies of unknown location: a multicentre cohort study E Christodoulou, S Bobdiwala, C Kyriacou, J Farren, N Mitchell‐Jones, ... BJOG: An International Journal of Obstetrics & Gynaecology 128 (3), 552-562, 2021 | 21 | 2021 |
| Lung function impairment in the German Lung Cancer Screening Intervention Study (LUSI): prevalence, symptoms, and associations with lung cancer risk, tumor histology and all … R Kaaks, E Christodoulou, E Motsch, V Katzke, MO Wielpütz, HU Kauczor, ... Translational Lung Cancer Research 11 (9), 1896, 2022 | 14 | 2022 |
| Adaptive sample size determination for the development of clinical prediction models E Christodoulou, M van Smeden, M Edlinger, D Timmerman, ... Diagnostic and prognostic research 5, 1-12, 2021 | 13 | 2021 |
| Metrics reloaded-a new recommendation framework for biomedical image analysis validation A Reinke, L Maier-Hein, E Christodoulou, B Glocker, P Scholz, F Isensee, ... Medical imaging with deep learning, 2022 | 12 | 2022 |
| The influence of postscreening follow‐up time and participant characteristics on estimates of overdiagnosis from lung cancer screening trials M Li, L Zhang, H Charvat, ME Callister, P Sasieni, E Christodoulou, ... International journal of cancer 151 (9), 1491-1501, 2022 | 8 | 2022 |
| Sources of performance variability in deep learning-based polyp detection TN Tran, TJ Adler, A Yamlahi, E Christodoulou, P Godau, A Reinke, ... International Journal of Computer Assisted Radiology and Surgery 18 (7 …, 2023 | 7 | 2023 |
| Evaluating cut‐off levels for progesterone, β human chorionic gonadotropin and β human chorionic gonadotropin ratio to exclude pregnancy viability in women with a pregnancy of … S Bobdiwala, C Kyriacou, E Christodoulou, J Farren, N Mitchell‐Jones, ... Acta obstetricia et gynecologica Scandinavica 101 (1), 46-55, 2022 | 5 | 2022 |
| Deployment of image analysis algorithms under prevalence shifts P Godau, P Kalinowski, E Christodoulou, A Reinke, M Tizabi, L Ferrer, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Lung function impairment in the German Lung Cancer Screening Study (LUSI): prevalence, symptoms, and associations with lung cancer risk, tumor histology and all-cause mortality R Kaaks, E Christodoulou, E Motsch, V Katzke, MO Wielpütz, HU Kauczor, ... Transl Lung Cancer Res, 2022 | 1 | 2022 |
| Investigating episodic mass loss in evolved massive stars: II. Physical properties of red supergiants at subsolar metallicity S de Wit, AZ Bonanos, K Antoniadis, E Zapartas, A Ruiz, N Britavskiy, ... arXiv preprint arXiv:2402.12442, 2024 | | 2024 |
| Sources of performance variability in deep learning-based polyp detection T Nuong Tran, T Adler, A Yamlahi, E Christodoulou, P Godau, A Reinke, ... arXiv e-prints, arXiv: 2211.09708, 2022 | | 2022 |
| Using machine learning to investigate the populations of dusty evolved stars in various metallicities G Maravelias, AZ Bonanos, F Tramper, S de Wit, M Yang, P Bonfini, ... arXiv preprint arXiv:2209.06303, 2022 | | 2022 |
| Methods for developing and validating clinical risk prediction models with applications E Christodoulou | | 2021 |
