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- 2021
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Mark
Head-to-head comparison of a Si-photomultiplier-based and a conventional photomultiplier-based PET-CT system
(
- Contribution to journal › Article
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Mark
Impact of the COVID-19 pandemic on nuclear medicine departments in Europe
(
- Contribution to journal › Debate/Note/Editorial
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Mark
Artificial intelligence-aided CT segmentation for body composition analysis : a validation study
(
- Contribution to journal › Article
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Mark
A retrospective study assessing the accuracy of [18F]–fluorocholine PET/CT for primary staging of lymph node metastases in intermediate and high-risk prostate cancer patients undergoing robotic-assisted laparoscopic prostatectomy with extended lymph node dissection
(
- Contribution to journal › Article
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Mark
Post-reconstruction enhancement of [18F]FDG PET images with a convolutional neural network
(
- Contribution to journal › Article
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Mark
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
(
- Contribution to journal › Article
- 2020
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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
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
(
- 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)
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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