Research group AI in thoracic oncology

Achievements

1. We have developed numerous deep learning-based algorithms in the field of thoracic oncology, including algorithms that estimate the probability of malignancy of screen-detected and incidentally detected pulmonary nodules on CT and have externally validated these algorithms on multi-center multi-country datasets.
2. We contributed to European recommendations for the management of pulmonary nodules on CT.
3. We have organized leading scientific challenges and benchmarking studies in the field of lung cancer, such as the LUNA16 and LUNA25 challenges. 

Publications

See the publication list of the research group leader on Web of Science.

• A selection of our publications

  • https://doi.org/10.1148/ryai.260179
  • https://doi.org/10.1007/s00330-026-12580-x
  • https://doi.org/10.1007/s00330-025-11830-8
  • https://doi.org/10.1007/s00330-026-12744-9
  • https://doi.org/10.1007/s00330-025-11829-1
  • https://doi.org/10.1007/s00330-025-11648-4
  • https://doi.org/10.1007/s00330-025-11647-5
  • https://doi.org/10.1007/s00330-025-11910-9
  • https://doi.org/10.1148/radiol.250874
  • https://doi.org/10.1038/s43856-023-00388-5