Clinically Applied Artificial Intelligence
Rigshospitalet, Copenhagen University


Articles in peer reviewed journals


  • Olin AB, Hansen AE, Rasmussen JH, Ladefoged CN et al., Feasibility of Multiparametric Positron Emission Tomography/Magnetic Resonance Imaging as a One-Stop Shop for Radiation Therapy Planning for Patients with Head and Neck Cancer. International Journal of Radiation Oncology, Biology, Physics, 2020, 7(16). doi: 10.1016/j.ijrobp.2020.07.024
  • Schramm G and Ladefoged CN. Metal artifact correction strategies in MRI-based attenuation correction in PET/MRI. BJR|Open 2020, 1, 20190033. doi: 10.1259/bjro.20190033
  • Ladefoged CN, Hansen AE, Henriksen OM et al., AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size. NeuroImage, 2020, 8(1). doi: 10.1016/j.neuroimage.2020.117221
  • Ladefoged CN, Andersen FL, and Højgaard L. Artificial intelligence for diagnostic imaging. Ugeskrift for Laeger 2020, 182(13).


  • Ladefoged CN, Marner L, Hindsholm A, Law I, Højgaard L, and Andersen FL. PET/MRI in pediatric brain tumor patients: Evaluation in a clinical setting. Frontiers in Neuroscience 2019, 12(1005). doi: 10.3389/fnins.2018.01005
  • Øen SK, Keil TM, Berntsen EM, Aanerud JF, Schwarzlmüller T, Ladefoged CN, Karlberg AM, Eikenes L. Quantitative and clinical impact of MRI-based attenuation correction methods in [18F]FDG evaluation of dementia. EJNMMI Research, 2019, 9(1). doi: 10.1186/s13550-019-0553-2

Recent Publications