Nuclear medicine, Malmö
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- 2021
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Mark
Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11
- 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
Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival
- 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
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Mark
Artificial intelligence-aided CT segmentation for body composition analysis : a validation study
- Contribution to journal › Article
- 2020
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Mark
Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer
- Contribution to journal › Article
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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
Evaluation of 18F-FDG uptake in lung parenchyma compensating for tissue fraction : Comparison between non-enhanced low dose CT and intravenous contrast-enhanced diagnostic CT
- Contribution to journal › Article
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Mark
Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network : A Monte Carlo Simulation Approach
- Contribution to journal › Article
