Z. Zhai, S. van Velzen, N. Lessmann, N. Planken, T. Leiner and I. Isgum, "Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation",
Frontiers in Cardiovascular Medicine,
2022;9.
C. de Vente, L. Boulogne, K. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. Sánchez and B. van Ginneken, "Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison",
IEEE Transactions on Artificial Intelligence,
2022;3(2):129-138.
A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Isgum, P. de Jong, M. van den Heuvel, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Scan-based competing death risk model for reevaluating lung cancer computed tomography screening eligibility",
European Respiratory Journal,
2022;59(5):2101613.
M. Huisman and N. Lessmann, "Automatic Brand Identification of Orthopedic Implants from Radiographs: Ready for the Next Step?",
Radiology: Artificial Intelligence,
2022;4(2):e220008.
J. Noothout, N. Lessmann, M. Eede, L. van Harten, E. Sogancioglu, F. Heslinga, M. Veta, B. van Ginneken and I. Isgum, "Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation",
Journal of Medical Imaging,
2022.
J. van der Graaf, M. van Hooff, C. Buckens and N. Lessmann, "Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation",
Medical Imaging 2022: Image Processing,
2022;12032:909-913.