| Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology 298 (1), E18-E28, 2021 | 98 | 2021 |
| Automated assessment of CO-RADS and chest CT severity scores in patients with suspected COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology, 2020 | 69 | 2020 |
| Development and validation of a convolutional neural network for automated detection of scaphoid fractures on conventional radiographs N Hendrix, E Scholten, B Vernhout, S Bruijnen, B Maresch, M de Jong, ... Radiology: Artificial Intelligence 3 (4), e200260, 2021 | 27 | 2021 |
| Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist N Hendrix, W Hendrix, K van Dijke, B Maresch, M Maas, S Bollen, ... European Radiology 33 (3), 1575-1588, 2023 | 11 | 2023 |
| Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals W Hendrix, M Rutten, N Hendrix, B van Ginneken, C Schaefer-Prokop, ... European Radiology 33 (11), 8279-8288, 2023 | 10 | 2023 |
| Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans W Hendrix, N Hendrix, ET Scholten, M Mourits, J Trap-de Jong, ... Communications Medicine 3 (1), 156, 2023 | 1 | 2023 |
| Nodule detection and generation on chest X-rays: NODE21 Challenge E Sogancioglu, B van Ginneken, F Behrendt, M Bengs, A Schlaefer, ... arXiv preprint arXiv:2401.02192, 2024 | | 2024 |
| “Harthulp”: A smart question-and-answer platform for cardiac patients W Hendrix | | 2019 |
