Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting

por Ladefoged, Claes Nøhr, Marner, Lisbeth, Hindsholm, Amalie, Law, Ian, Højgaard, Liselotte, Andersen, Flemming Littrup
Publicado 2019

Assessment of Artificial Intelligence Automatic Multiple Sclerosis Lesion Delineation Tool for Clinical Use

por Hindsholm, Amalie Monberg, Cramer, Stig Præstekjær, Simonsen, Helle Juhl, Frederiksen, Jette Lautrup, Andersen, Flemming, Højgaard, Liselotte, Ladefoged, Claes Nøhr, Lindberg, Ulrich
Publicado 2021

A convolutional neural network for total tumor segmentation in [(64)Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms

por Carlsen, Esben Andreas, Lindholm, Kristian, Hindsholm, Amalie, Gæde, Mathias, Ladefoged, Claes Nøhr, Loft, Mathias, Johnbeck, Camilla Bardram, Langer, Seppo Wang, Oturai, Peter, Knigge, Ulrich, Kjaer, Andreas, Andersen, Flemming Littrup
Publicado 2022

Scanner agnostic large-scale evaluation of MS lesion delineation tool for clinical MRI

por Hindsholm, Amalie Monberg, Andersen, Flemming Littrup, Cramer, Stig Præstekjær, Simonsen, Helle Juhl, Askløf, Mathias Gæde, Magyari, Melinda, Madsen, Poul Nørgaard, Hansen, Adam Espe, Sellebjerg, Finn, Larsson, Henrik Bo Wiberg, Langkilde, Annika Reynberg, Frederiksen, Jette Lautrup, Højgaard, Liselotte, Ladefoged, Claes Nøhr, Lindberg, Ulrich
Publicado 2023