AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting
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Sune Høgild Keller, PhD Computer Scientist in Molecular Imaging - PDF Free Download
Loop | Claes Nøhr Ladefoged
PDF) Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion
BeRiget #14: Kunstig intelligens skal hjælpe læger og ikke erstatte dem - BeRiget med Per Christiansen | Lyssna här | Poddtoppen.se
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Claes Nøhr Ladefoged, Herlev | person | krak.dk
Datahungrende computere opdager skjulte sammenhænge
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:
beriget hashtag on Twitter
![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
Loop | Claes Nøhr Ladefoged
Reproducibility of Quantitative Brain Imaging Using a PET-Only and a Combined PET/MR System. - Abstract - Europe PMC
Sommerklumme: - Jeg elsker virkelig at vise denne historiske og smukke havneby frem | HadsundFolkeblad.dk
DIKU:Image Group
PDF) AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size
Unge forskerkometer modtager Lundbeckfondens Talentpris 2016
Fire unge forskere hædret med Lundbeckfondens Talentpris - Lundbeckfonden
Hybrid PET/MRI Symposium March 14, 2017
Claes Nøhr Ladefoged, Herlev | person | krak.dk
Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion | EJNMMI Physics | Full Text
Kunstig intelligens til klinisk billeddiagnostik
Deep learning-algoritme sparer patienter for CT-scanninger og stråling | Ingeniøren
Loop | Claes Nøhr Ladefoged
