Nuclear medicine, Malmö
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- 2020
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Mark
Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer
- Contribution to journal › Article
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Mark
Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
- Contribution to journal › Article
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Mark
Deep learning-based evaluation of normal bone marrow activity in 18F-NaF PET/CT in patients with prostate cancer
- Contribution to journal › Published meeting abstract
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Mark
Artificial intelligence in PET-CT. From Image Enhancement to Imaging Biomarkers.
(2020) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
- 2019
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Mark
Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas
- Contribution to journal › Article
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Mark
Forces applied at the footrest during ergometer kayaking among female athletes at different competing levels – A pilot study
- Contribution to journal › Article
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Mark
Deep learning for segmentation of 49 selected bones in CT scans : First step in automated PET/CT-based 3D quantification of skeletal metastases
- Contribution to journal › Article
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Mark
Impact of acquisition time and penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm on a Si-photomultiplier-based PET-CT system for 18F-FDG
- Contribution to journal › Article
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Mark
The use of a proposed updated EARL harmonization of 18F-FDG PET-CT in patients with lymphoma yields significant differences in Deauville score compared with current EARL recommendations
- Contribution to journal › Article
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Mark
Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for
18
F-fluorocholine PET-CT regarding image quality and interpretation
- Contribution to journal › Article
