M. Lundemann

发表

Impact of [18F]-fluoro-ethyl-tyrosine PET imaging on target definition for radiation therapy of high-grade glioma.

Junia C Costa, I. Law, P. Munck Af Rosenschold, 2015, Neuro-oncology.

Clinical PET/MRI in neurooncology: opportunities and challenges from a single-institution perspective

Ian Law, Lisbeth Marner, Otto M. Henriksen, 2016, Clinical and Translational Imaging.

Diagnostic Accuracy and Clinical Impact of [ 18F]FET PET in Childhood CNS tumors.

L. Marner, I. Law, J. Forman, 2021, Neuro-oncology.

Feasibility of multi-parametric PET and MRI for prediction of tumour recurrence in patients with glioblastoma

H. Larsson, A. Hansen, A. Kjær, 2018, European Journal of Nuclear Medicine and Molecular Imaging.

A framework for voxel-based assessment of biological effect after proton radiotherapy in pediatric brain cancer patients using multi-modal imaging.

R. Mohan, L. Marner, I. Vogelius, 2021, Medical physics.

A new method to estimate doses to the normal tissues after past extended and involved field radiotherapy for Hodgkin lymphoma.

L. Specht, I. Vogelius, M. Lundemann, 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Minimizing late effects for patients with mediastinal Hodgkin lymphoma: deep inspiration breath-hold, IMRT, or both?

M. Aznar, L. Specht, I. Vogelius, 2015, International journal of radiation oncology, biology, physics.

Diagnostic yield of simultaneous dynamic contrast-enhanced magnetic resonance perfusion measurements and [18F]FET PET in patients with suspected recurrent anaplastic astrocytoma and glioblastoma

L. Marner, H. Larsson, A. Hansen, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

Protocol for the AutoRayValid-RBknee Study: a Retrospective, Multicenter, Fully-crossed, Multi-reader, Multi-case Study Investigating the Effect of a Knee Osteoarthritis Severity Classification Model on Reader Diagnostic Accuracy

M. Lundemann, E. Oei, M. Boesen, 2022, medRxiv.

Diagnostic yield of simultaneous dynamic contrast-enhanced magnetic resonance perfusion measurements and [18F]FET PET in patients with suspected recurrent anaplastic astrocytoma and glioblastoma

L. Marner, H. Larsson, A. Hansen, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

Cardiovascular disease after treatment for Hodgkin's lymphoma: an analysis of nine collaborative EORTC-LYSA trials.

J. Raemaekers, O. Casasnovas, P. Feugier, 2015, The Lancet. Haematology.

Early Postoperative 18F-FET PET/MRI for Pediatric Brain and Spinal Cord Tumors

Ian Law, Liselotte Højgaard, David Scheie, 2019, The Journal of Nuclear Medicine.

Influence of volumetric modulated arc therapy and FET-PET scanning on treatment outcomes for glioblastoma patients.

P. Rosenschöld, I. Law, S. Engelholm, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Patterns of failure for patients with glioblastoma following O-(2-[18F]fluoroethyl)-L-tyrosine PET- and MRI-guided radiotherapy.

Junia C Costa, I. Law, H. Poulsen, 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Early changes in perfusion of glioblastoma during radio- and chemotherapy evaluated by T1-dynamic contrast enhanced magnetic resonance imaging

I. Law, H. Poulsen, S. Engelholm, 2015, Acta oncologica.

A modality‐adaptive method for segmenting brain tumors and organs‐at‐risk in radiation therapy planning

John Ashburner, Koen Van Leemput, Oula Puonti, 2018, Medical Image Anal..

Dose painting based on tumor uptake of Cu-ATSM and FDG: a comparative study

A. Kjær, C. Hollensen, A. Kristensen, 2014, Radiation oncology.

A Deep Learning Algorithm for Radiographic Measurements of the Hip in Adults—A Reliability and Agreement Study

S. Overgaard, O. Gerke, M. Lundemann, 2022, Diagnostics.

The risk of late effects following pediatric and adult radiotherapy regimens in Hodgkin lymphoma

M. Joergensen, L. Specht, L. Hjalgrim, 2020, Strahlentherapie und Onkologie.

External validation of an artificial intelligence tool for radiographic knee osteoarthritis severity classification.

P. Hansen, M. Lundemann, M. Boesen, 2022, European journal of radiology.