| 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, 202439, 2020 | 69 | 2020 |
| Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study C de Vente, LH Boulogne, KV Venkadesh, C Sital, N Lessmann, C Jacobs, ... arXiv preprint arXiv:2009.09725, 2020 | 14 | 2020 |
| 3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images C Sital, T Brosch, D Tio, A Raaijmakers, J Weese arXiv preprint arXiv:2003.07923, 2020 | 9 | 2020 |
| Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison C De Vente, LH Boulogne, KV Venkadesh, C Sital, N Lessmann, ... IEEE Transactions on Artificial Intelligence 3 (2), 129-138, 2021 | 7 | 2021 |
| Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study V Cd, LH Boulogne, KV Venkadesh, C Sital, N Lessmann, C Jacobs, ... | 1 | 2020 |
| Segmentating a tubular feature RJ Weese, DSL Tio, CK Sital, T Brosch US Patent App. 17/637,492, 2022 | | 2022 |
| Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study C Vente, L Boulogne, KV Venkadesh, C Sital, N Lessmann, C Jacobs, ... | | 2020 |
