The effect of reduced scan time on response assessment FDG-PET/CT imaging using Deauville score in patients with lymphoma

por Hornnes, Charlotte, Loft, Annika, Højgaard, Liselotte, Andersen, Flemming Littrup
Publicado 2021

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

Impact of Reduced Image Noise on Deauville Scores in Patients with Lymphoma Scanned on a Long-Axial Field-of-View PET/CT-Scanner

por Korsholm, Kirsten, Overbeck, Nanna, Dias, André H., Loft, Annika, Andersen, Flemming Littrup, Fischer, Barbara Malene
Publicado 2023

PET/MR attenuation correction in brain imaging using a continuous bone signal derived from UTE

por Ladefoged, Claes, Benoit, Didier, Law, Ian, Holm, Soren, Hojgaard, Liselotte, Hansen, Adam Espe, Andersen, Flemming Littrup
Publicado 2015

Intravenous contrast-enhanced CT can be used for CT-based attenuation correction in clinical (111)In-octreotide SPECT/CT

por Klausen, Thomas Levin, Mortensen, Jann, de Nijs, Robin, Andersen, Flemming Littrup, Højgaard, Liselotte, Beyer, Thomas, Holm, Søren
Publicado 2015

Estimation of brain amyloid accumulation using deep learning in clinical [(11)C]PiB PET imaging

por Ladefoged, Claes Nøhr, Anderberg, Lasse, Madsen, Karine, Henriksen, Otto Mølby, Hasselbalch, Steen Gregers, Andersen, Flemming Littrup, Højgaard, Liselotte, Law, Ian
Publicado 2023

A zero-dose synthetic baseline for the personalized analysis of [(18)F]FDG-PET: Application in Alzheimer’s disease

por Hinge, Christian, Henriksen, Otto Mølby, Lindberg, Ulrich, Hasselbalch, Steen Gregers, Højgaard, Liselotte, Law, Ian, Andersen, Flemming Littrup, Ladefoged, Claes Nøhr
Publicado 2022

DeepDixon synthetic CT for [(18F]FET) PET/MRI attenuation correction of post-surgery glioma patients with metal implants

por Ladefoged, Claes Nøhr, Andersen, Flemming Littrup, Andersen, Thomas Lund, Anderberg, Lasse, Engkebølle, Christian, Madsen, Karine, Højgaard, Liselotte, Henriksen, Otto Mølby, Law, Ian
Publicado 2023

Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion

por Ladefoged, Claes Nøhr, Hansen, Adam Espe, Keller, Sune Høgild, Holm, Søren, Law, Ian, Beyer, Thomas, Højgaard, Liselotte, Kjær, Andreas, Andersen, Flemming Littrup
Publicado 2014

Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

por Sørensen, Peter Jagd, Carlsen, Jonathan Frederik, Larsen, Vibeke Andrée, Andersen, Flemming Littrup, Ladefoged, Claes Nøhr, Nielsen, Michael Bachmann, Poulsen, Hans Skovgaard, Hansen, Adam Espe
Publicado 2023

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

Potential Clinical Impact of LAFOV PET/CT: A Systematic Evaluation of Image Quality and Lesion Detection

por Honoré d’Este, Sabrina, Andersen, Flemming Littrup, Andersen, Julie Bjerglund, Jakobsen, Annika Loft, Sanchez Saxtoft, Eunice, Schulze, Christina, Hansen, Naja Liv, Andersen, Kim Francis, Reichkendler, Michala Holm, Højgaard, Liselotte, Fischer, Barbara Malene
Publicado 2023

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