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BJR Open
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November 12, 2020
Metal artifact correction strategies in MRI-based attenuation correction in PET/MRI
Georg Schramm, Claes Nøhr Ladefoged
Ugeskrift for Laeger
|
April 15, 2020
[Artificial intelligence for diagnostic imaging]
Claes Nøhr Ladefoged, Flemming Littrup Andersen, Liselotte Højgaard
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 disease
Claes Nøhr Ladefoged, Philip Hasbak, Charlotte Hornnes, et al.
EJNMMI Physics
|
February 26, 2026
Attenuation correction of cardiac <sup>82</sup>Rb pet using deep learning generated synthetic CT
Kasper Jørgensen, Martin Lyngby Lassen, Flemming Littrup Andersen, 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 Setting
Claes Nøhr Ladefoged, Lisbeth Marner, Amalie Hindsholm, et al.
Diagnostics (Basel, Switzerland)
|
January 8, 2025
CT-Free Attenuation Correction in Paediatric Long Axial Field-of-View Positron Emission Tomography Using Synthetic CT from Emission Data
Maria Elkjær Montgomery, Flemming Littrup Andersen, René Mathiasen, et al.
EJNMMI Physics
|
October 27, 2015
PET/MR imaging of sarcomas: effect of PET quantification by classification of tissue
Claes Nøhr Ladefoged, Adam Espe Hansen, Kim Francis Andersen, et al.
EJNMMI Physics
|
July 14, 2023
Estimation of brain amyloid accumulation using deep learning in clinical [<sup>11</sup>C]PiB PET imaging
Claes Nøhr Ladefoged, Lasse Anderberg, Karine Madsen, 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 inpainting
Claes 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/CT
Christian Hinge, Anders Bertil Rodell, Sven Zuehlsdorff, et al.
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Search research articles
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Showing results (1-10 of 29) with videos related to
Sort By:
Page
of 3
BJR Open
|
November 12, 2020
Metal artifact correction strategies in MRI-based attenuation correction in PET/MRI
Georg Schramm, Claes Nøhr Ladefoged
Ugeskrift for Laeger
|
April 15, 2020
[Artificial intelligence for diagnostic imaging]
Claes Nøhr Ladefoged, Flemming Littrup Andersen, Liselotte Højgaard
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 disease
Claes Nøhr Ladefoged, Philip Hasbak, Charlotte Hornnes, et al.
EJNMMI Physics
|
February 26, 2026
Attenuation correction of cardiac <sup>82</sup>Rb pet using deep learning generated synthetic CT
Kasper Jørgensen, Martin Lyngby Lassen, Flemming Littrup Andersen, 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 Setting
Claes Nøhr Ladefoged, Lisbeth Marner, Amalie Hindsholm, et al.
Diagnostics (Basel, Switzerland)
|
January 8, 2025
CT-Free Attenuation Correction in Paediatric Long Axial Field-of-View Positron Emission Tomography Using Synthetic CT from Emission Data
Maria Elkjær Montgomery, Flemming Littrup Andersen, René Mathiasen, et al.
EJNMMI Physics
|
October 27, 2015
PET/MR imaging of sarcomas: effect of PET quantification by classification of tissue
Claes Nøhr Ladefoged, Adam Espe Hansen, Kim Francis Andersen, et al.
EJNMMI Physics
|
July 14, 2023
Estimation of brain amyloid accumulation using deep learning in clinical [<sup>11</sup>C]PiB PET imaging
Claes Nøhr Ladefoged, Lasse Anderberg, Karine Madsen, 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 inpainting
Claes 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/CT
Christian Hinge, Anders Bertil Rodell, Sven Zuehlsdorff, et al.
Page
of 3