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Flemming Littrup Andersen

Showing results (21-30 of 49) with videos related to

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EJNMMI Physics|July 14, 2023
Estimation of brain amyloid accumulation using deep learning in clinical [<sup>11</sup>C]PiB PET imagingClaes Nøhr Ladefoged, Lasse Anderberg, Karine Madsen, et al.
Frontiers in Neuroscience|December 19, 2022
A zero-dose synthetic baseline for the personalized analysis of [<sup>18</sup>F]FDG-PET: Application in Alzheimer's diseaseChristian Hinge, Otto Mølby Henriksen, Ulrich Lindberg, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 9, 2013
PET/MR imaging of the pelvis in the presence of endoprostheses: reducing image artifacts and increasing accuracy through inpaintingClaes Nøhr Ladefoged, Flemming Littrup Andersen, Sune Høgild Keller, et al.
Scientific Reports|November 29, 2025
Normal twin PET: personalized generative modeling for confounder correction and anomaly detection in whole-body PET/CTChristian Hinge, Anders Bertil Rodell, Sven Zuehlsdorff, et al.
Frontiers in Nuclear Medicine|October 2, 2024
Automatic detection and delineation of pediatric gliomas on combined [<sup>18</sup>F]FET PET and MRIClaes Nøhr Ladefoged, Otto Mølby Henriksen, René Mathiasen, et al.
EJNMMI Physics|August 17, 2022
A deep learning-based whole-body solution for PET/MRI attenuation correctionSahar Ahangari, Anders Beck Olin, Marianne Kinggård Federspiel, et al.
Diagnostics (Basel, Switzerland)|December 22, 2023
Attenuation Correction of Long Axial Field-of-View Positron Emission Tomography Using Synthetic Computed Tomography Derived from the Emission Data: Application to Low-Count Studies and Multiple TracersMaria Elkjær Montgomery, Flemming Littrup Andersen, Sabrina Honoré d'Este, et al.
Neuroimage|September 3, 2013
Combined PET/MR imaging in neurology: MR-based attenuation correction implies a strong spatial bias when ignoring boneFlemming Littrup Andersen, Claes Nøhr Ladefoged, Thomas Beyer, et al.
EJNMMI Physics|October 27, 2015
Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversionClaes Nøhr Ladefoged, Adam Espe Hansen, Sune Høgild Keller, et al.
Frontiers in Neuroscience|April 24, 2023
DeepDixon synthetic CT for [<sup>18F]FET</sup> PET/MRI attenuation correction of post-surgery glioma patients with metal implantsClaes Nøhr Ladefoged, Flemming Littrup Andersen, Thomas Lund Andersen, et al.
Pageof 5

Showing results (21-30 of 49) with videos related to

Sort By:
Pageof 5
EJNMMI Physics|July 14, 2023
Estimation of brain amyloid accumulation using deep learning in clinical [<sup>11</sup>C]PiB PET imagingClaes Nøhr Ladefoged, Lasse Anderberg, Karine Madsen, et al.
Frontiers in Neuroscience|December 19, 2022
A zero-dose synthetic baseline for the personalized analysis of [<sup>18</sup>F]FDG-PET: Application in Alzheimer's diseaseChristian Hinge, Otto Mølby Henriksen, Ulrich Lindberg, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 9, 2013
PET/MR imaging of the pelvis in the presence of endoprostheses: reducing image artifacts and increasing accuracy through inpaintingClaes Nøhr Ladefoged, Flemming Littrup Andersen, Sune Høgild Keller, et al.
Scientific Reports|November 29, 2025
Normal twin PET: personalized generative modeling for confounder correction and anomaly detection in whole-body PET/CTChristian Hinge, Anders Bertil Rodell, Sven Zuehlsdorff, et al.
Frontiers in Nuclear Medicine|October 2, 2024
Automatic detection and delineation of pediatric gliomas on combined [<sup>18</sup>F]FET PET and MRIClaes Nøhr Ladefoged, Otto Mølby Henriksen, René Mathiasen, et al.
EJNMMI Physics|August 17, 2022
A deep learning-based whole-body solution for PET/MRI attenuation correctionSahar Ahangari, Anders Beck Olin, Marianne Kinggård Federspiel, et al.
Diagnostics (Basel, Switzerland)|December 22, 2023
Attenuation Correction of Long Axial Field-of-View Positron Emission Tomography Using Synthetic Computed Tomography Derived from the Emission Data: Application to Low-Count Studies and Multiple TracersMaria Elkjær Montgomery, Flemming Littrup Andersen, Sabrina Honoré d'Este, et al.
Neuroimage|September 3, 2013
Combined PET/MR imaging in neurology: MR-based attenuation correction implies a strong spatial bias when ignoring boneFlemming Littrup Andersen, Claes Nøhr Ladefoged, Thomas Beyer, et al.
EJNMMI Physics|October 27, 2015
Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversionClaes Nøhr Ladefoged, Adam Espe Hansen, Sune Høgild Keller, et al.
Frontiers in Neuroscience|April 24, 2023
DeepDixon synthetic CT for [<sup>18F]FET</sup> PET/MRI attenuation correction of post-surgery glioma patients with metal implantsClaes Nøhr Ladefoged, Flemming Littrup Andersen, Thomas Lund Andersen, et al.
Pageof 5