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- 2020
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Mark
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
- 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
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
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
Comparison of conventional and Si-photomultiplier-based PET systems for image quality and diagnostic performance
- 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
Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland : a method comparison study
- Contribution to journal › Article
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Mark
Comparison between silicon photomultiplier-based and conventional PET/CT in patients with suspected lung cancer—a pilot study
- 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
