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Ugeskrift for Laeger|April 15, 2020
[Artificial intelligence for diagnostic imaging]Claes Nøhr Ladefoged, Flemming Littrup Andersen, Liselotte Højgaard
European Journal of Hybrid Imaging|June 28, 2021
The effect of reduced scan time on response assessment FDG-PET/CT imaging using Deauville score in patients with lymphomaCharlotte Hornnes, Annika Loft, Liselotte Højgaard, et al.
European Journal of Radiology|December 21, 2012
Clinical evaluation of PET image reconstruction using a spatial resolution modelFlemming Littrup Andersen, Thomas Levin Klausen, Annika Loft, et al.
Physics in Medicine and Biology|February 1, 2021
Low-dose PET image noise reduction using deep learning: application to cardiac viability FDG imaging in patients with ischemic heart diseaseClaes Nøhr Ladefoged, Philip Hasbak, Charlotte Hornnes, et al.
Acta Oncologica (Stockholm, Sweden)|June 10, 2021
Toward PET/MRI as one-stop shop for radiotherapy planning in cervical cancer patientsSahar Ahangari, Naja Liv Hansen, Anders Beck Olin, et al.
EJNMMI Physics|February 26, 2026
Attenuation correction of cardiac <sup>82</sup>Rb pet using deep learning generated synthetic CTKasper Jørgensen, Martin Lyngby Lassen, Flemming Littrup Andersen, et al.
Diagnostics (Basel, Switzerland)|April 3, 2021
Visualizing Glioma Infiltration by the Combination of Multimodality Imaging and Artificial Intelligence, a Systematic Review of the LiteratureSabrina Honoré d'Este, Michael Bachmann Nielsen, Adam Espe Hansen
Neuroradiology|November 12, 2025
Prospective clinical evaluation of automatic lesion assessment in patients with multiple sclerosisAmalie Monberg Hindsholm, Annika Reynberg Langkilde, Jonathan Frederik Carlsen, et al.
EJNMMI Physics|September 29, 2025
Large scale comparison of maximum likelihood scatter scaling and tail-fitted scatter scaling in LAFOV PET/CTNanna Overbeck, Søren Holm, Mohammadreza Teimoorisichani, et al.
Frontiers in Neuroscience|January 23, 2019
Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical SettingClaes Nøhr Ladefoged, Lisbeth Marner, Amalie Hindsholm, et al.
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