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PDF) Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion
Hybrid PET/MRI Symposium March 14, 2017
Claes Nøhr Ladefoged, Herlev | person | krak.dk
Datahungrende computere opdager skjulte sammenhænge
Claes Nøhr Ladefoged, Herlev | person | krak.dk
Figure 4 from Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting - Semantic Scholar
Kunstig intelligens giver gevinst i billeddiagnostik
Loop | Claes Nøhr Ladefoged
Claes Nøhr Ladefoged, Herlev | person | krak.dk
Ugeskriftet.dk
Unge forskerkometer modtager Lundbeckfondens Talentpris 2016
Reproducibility of Quantitative Brain Imaging Using a PET-Only and a Combined PET/MR System. - Abstract - Europe PMC
Unge forskerkometer modtager Lundbeckfondens Talentpris 2016
DIKU:Image Group
Datahungrende computere opdager skjulte sammenhænge
![Quantitative and clinical impact of MRI-based attenuation correction methods in [18F]FDG evaluation of dementia. - Abstract - Europe PMC](https://europepmc.org/articles/PMC6708519/bin/13550_2019_553_Fig1_HTML.jpg "Quantitative and clinical impact of MRI-based attenuation correction methods in [18F]FDG evaluation of dementia. - Abstract - Europe PMC")
Quantitative and clinical impact of MRI-based attenuation correction methods in [18F]FDG evaluation of dementia. - Abstract - Europe PMC
Rigshospitalet on Twitter: "I forskerens fodspor: I hænderne på datalog Claes Nøhr Ladefoged har kunstig intelligens og deep learning gjort sit indtog i billeddiagnostikken på Rigshospitalet. Teknologien sparer patienter for unødvendige scanninger:
Loop | Claes Nøhr Ladefoged
PDF) AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size
Rigshospitalets direktør laver podcasts med top-medarbejdere
AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
Loop | Claes Nøhr Ladefoged
Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion | EJNMMI Physics | Full Text
AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
