AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
BIR Publications
Frontiers | Automatic detection and delineation of pediatric gliomas on combined [18F]FET PET and MRI
Ugeskriftet.dk
Table of Contents — November 01, 2021, 62 (11) | Journal of Nuclear Medicine
Deep learning enables safer heart scans with lower radiotracer dose – Physics World
Deep learning enables safer heart scans with lower radiotracer dose – Physics World
Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion | EJNMMI Physics | Full Text
Clinically Applied Artificial Intelligence
Diagnostics | Special Issue : Artificial Intelligence in Brain Imaging
iMIMIC – Interpretability of Machine Intelligence in Medical Image Computing
NTNU Open: AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size
Silje Kjærnes Øen - NTNU
Low-dose PET image noise reduction using deep learning: application to cardiac viability FDG imaging in patients with ischemic h
Rigshospitalets direktør laver podcasts med top-medarbejdere
Stream episode Metal artifact correction strategies in MRI-based attenuation correction in PET–MRI by BIR podcast | Listen online for free on SoundCloud
Four young scientists are awarded Lundbeckfonden's Talent Prize | The Lundbeck Foundation