Elin Trägårdh
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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
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
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
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
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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
Artificial intelligence-based measurements of PET/CT imaging biomarkers are associated with disease-specific survival of high-risk prostate cancer patients
- 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
Impact of the COVID-19 pandemic on nuclear medicine departments in Europe
- Contribution to journal › Debate/Note/Editorial
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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
