Claes Nohr Ladefoged
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Explore the profile of Claes Nohr Ladefoged including associated specialties, affiliations and a list of published articles.
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25
Citations
298
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Recent Articles
1.
Montgomery M, Andersen F, Mathiasen R, Borgwardt L, Andersen K, Ladefoged C
Diagnostics (Basel)
. 2025 Jan;
14(24.
PMID: 39767149
: Paediatric PET/CT imaging is crucial in oncology but poses significant radiation risks due to children's higher radiosensitivity and longer post-exposure life expectancy. This study aims to minimize radiation exposure...
2.
Kovacs D, Ladefoged C, Rosenkjaer J, Mawassi F, Hingelberg L, Laursen A, et al.
J Nucl Med
. 2024 Dec;
66(2):183-185.
PMID: 39667815
No abstract available.
3.
Ladefoged C, Henriksen O, Mathiasen R, Schmiegelow K, Andersen F, Hojgaard L, et al.
Front Nucl Med
. 2024 Oct;
2:960820.
PMID: 39354975
Introduction: Brain and central nervous system (CNS) tumors are the second most common cancer type in children and adolescents. Positron emission tomography (PET) imaging with radiolabeled amino acids visualizes the...
4.
Sorensen P, Ladefoged C, Larsen V, Andersen F, Nielsen M, Poulsen H, et al.
Tomography
. 2024 Sep;
10(9):1397-1410.
PMID: 39330751
The Brain Tumor Segmentation (BraTS) Challenge has been a main driver of the development of deep learning (DL) algorithms and provides by far the largest publicly available expert-annotated brain tumour...
5.
Montgomery M, Andersen F, Honore dEste S, Overbeck N, Cramon P, Law I, et al.
Diagnostics (Basel)
. 2023 Dec;
13(24).
PMID: 38132245
Recent advancements in PET/CT, including the emergence of long axial field-of-view (LAFOV) PET/CT scanners, have increased PET sensitivity substantially. Consequently, there has been a significant reduction in the required tracer...
6.
Ladefoged C, Anderberg L, Madsen K, Henriksen O, Hasselbalch S, Andersen F, et al.
EJNMMI Phys
. 2023 Jul;
10(1):44.
PMID: 37450069
Introduction: Estimation of brain amyloid accumulation is valuable for evaluation of patients with cognitive impairment in both research and clinical routine. The development of high throughput and accurate strategies for...
7.
Hindsholm A, Andersen F, Cramer S, Simonsen H, Asklof M, Magyari M, et al.
Front Neurosci
. 2023 Jun;
17:1177540.
PMID: 37274207
Introduction: Patients with MS are MRI scanned continuously throughout their disease course resulting in a large manual workload for radiologists which includes lesion detection and size estimation. Though many models...
8.
Ladefoged C, Andersen F, Andersen T, Anderberg L, Engkebolle C, Madsen K, et al.
Front Neurosci
. 2023 Apr;
17:1142383.
PMID: 37090806
Purpose: Conventional magnetic resonance imaging (MRI) can for glioma assessment be supplemented by positron emission tomography (PET) imaging with radiolabeled amino acids such as O-(2-[F]fluoroethyl)-L-tyrosine ([F]FET), which provides additional information...
9.
Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI
Sorensen P, Carlsen J, Larsen V, Andersen F, Ladefoged C, Nielsen M, et al.
Diagnostics (Basel)
. 2023 Feb;
13(3).
PMID: 36766468
In the context of brain tumour response assessment, deep learning-based three-dimensional (3D) tumour segmentation has shown potential to enter the routine radiological workflow. The purpose of the present study was...
10.
Hinge C, Henriksen O, Lindberg U, Hasselbalch S, Hojgaard L, Law I, et al.
Front Neurosci
. 2022 Dec;
16:1053783.
PMID: 36532287
Purpose: Brain 2-Deoxy-2-[F]fluoroglucose ([F]FDG-PET) is widely used in the diagnostic workup of Alzheimer's disease (AD). Current tools for uptake analysis rely on non-personalized templates, which poses a challenge as decreased...