![Frontiers | Automatic detection and delineation of pediatric gliomas on combined [18F]FET PET and MRI](https://www.frontiersin.org/files/Articles/960820/fnume-02-960820-HTML/image_m/fnume-02-960820-g001.jpg "Frontiers | Automatic detection and delineation of pediatric gliomas on combined [18F]FET PET and MRI")
Frontiers | Automatic detection and delineation of pediatric gliomas on combined [18F]FET PET and MRI
Datahungrende computere opdager skjulte sammenhænge
BIR Publications
Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting. - Abstract - Europe PMC
Loop | Claes Nøhr Ladefoged
Loop | Claes Nøhr Ladefoged
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Diagnostics | Special Issue : Artificial Intelligence in Brain Imaging
Deep learning enables safer heart scans with lower radiotracer dose – Physics World
AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size - ScienceDirect
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Silje Kjærnes Øen - NTNU
Claes Nøhr Ladefoged - Roller i dansk erhvervsliv
Table of Contents — November 01, 2021, 62 (11) | Journal of Nuclear Medicine
Deep learning enables safer heart scans with lower radiotracer dose – Physics World
Clinically Applied Artificial Intelligence
PDF) Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR
Claes Nøhr Ladefoged, Herlev | person | krak.dk
Assessment of Artificial Intelligence Automatic Multiple Sclerosis Lesion Delineation Tool for Clinical Use | SpringerLink
Stream episode Metal artifact correction strategies in MRI-based attenuation correction in PET–MRI by BIR podcast | Listen online for free on SoundCloud
NTNU Open: AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size
Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting. - Abstract - Europe PMC
iMIMIC – Interpretability of Machine Intelligence in Medical Image Computing
Low-dose PET image noise reduction using deep learning: application to cardiac viability FDG imaging in patients with ischemic h
