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- 2020
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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
- 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
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
A prospective observational study to evaluate the effects of long-acting somatostatin analogs on 68Ga-DOTATATE uptake in patients with neuroendocrine tumors
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- 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
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- 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
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