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- 2024
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Mark
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
2024) In Clinical Physiology and Functional Imaging(
- Contribution to journal › Article
- 2023
-
Mark
Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence : The PET index
(
- Contribution to journal › Article
- 2022
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Mark
Aspects of PET-CT in prostate cancer. Protocol optimization, diagnostic accuracy, and dosimetry.
2022) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
- 2021
-
Mark
Patterns of pathologic lymph nodes in anal cancer : a PET-CT-based analysis with implications for radiotherapy treatment volumes
(
- Contribution to journal › Article
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Mark
Dose-reduced [18F]PSMA-1007 PET is feasible for functional imaging of the renal cortex
(
- 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
-
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)
-
Mark
RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
(
- Contribution to journal › Article
-
Mark
Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer
(
- Contribution to journal › Article
- 2019
-
Mark
Comparison of conventional and Si-photomultiplier-based PET systems for image quality and diagnostic performance
(
- Contribution to journal › Article