Claes Nøhr Ladefoged's research works | IT University of Copenhagen, Copenhagen and other places
Reproducibility of Quantitative Brain Imaging Using a PET-Only and a Combined PET/MR System. - Abstract - Europe PMC
Claes Nøhr Ladefoged, Herlev | person | krak.dk
Loop | Claes Nøhr Ladefoged
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:
coronafighter
Loop | Claes Nøhr Ladefoged
coronafighter
Datahungrende computere opdager skjulte sammenhænge
BeRiget #14: Kunstig intelligens skal hjælpe læger og ikke erstatte dem - BeRiget med Per Christiansen | Lyssna här | Poddtoppen.se
PDF) Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion
Hybrid PET/MRI Symposium March 14, 2017
Sommerklumme: - Jeg elsker virkelig at vise denne historiske og smukke havneby frem | HadsundFolkeblad.dk
![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
AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
Claes Nøhr Ladefoged, Herlev | person | krak.dk
Unge forskerkometer modtager Lundbeckfondens Talentpris 2016
Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting
Deep learning-guided joint attenuation and scatter correction in multitracer neuroimaging studies.,Human Brain Mapping - X-MOL
Ugeskriftet.dk
Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion | EJNMMI Physics | Full Text
Datahungrende computere opdager skjulte sammenhænge
Figure 4 from Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting - Semantic Scholar
Ny algoritme for dyp læring gjør at pasienter slipper CT-skanning og radioaktiv stråling - Tu.no
