Nuclear medicine, Malmö
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- 2021
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Mark
Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer
(
- 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
Post-reconstruction enhancement of [18F]FDG PET images with a convolutional neural network
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- 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
Artificial intelligence-aided CT segmentation for body composition analysis : a validation study
(
- 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 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
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Mark
Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer
(
- Contribution to journal › Article