Deep learning-guided joint attenuation and scatter correction in multitracer neuroimaging studies.,Human Brain Mapping - X-MOL
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Loop | Claes Nøhr Ladefoged
Sune Høgild Keller, PhD Computer Scientist in Molecular Imaging - PDF Free Download
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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:
AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
BeRiget #14: Kunstig intelligens skal hjælpe læger og ikke erstatte dem - BeRiget med Per Christiansen | Lyssna här | Poddtoppen.se
AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
Sommerklumme: - Jeg elsker virkelig at vise denne historiske og smukke havneby frem | HadsundFolkeblad.dk
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Rigshospitalets direktør laver podcasts med top-medarbejdere
Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion | EJNMMI Physics | Full Text
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Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting
Reproducibility of Quantitative Brain Imaging Using a PET-Only and a Combined PET/MR System. - Abstract - Europe PMC