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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
- 2019
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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
A prospective observational study to evaluate the effects of long-acting somatostatin analogs on 68Ga-DOTATATE uptake in patients with neuroendocrine tumors
- Contribution to journal › Article
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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
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
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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
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
Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland : a method comparison study
- Contribution to journal › Article
