Elin Trägårdh
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- 2022
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Mark
Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
- Contribution to journal › Article
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Mark
Myocardial Perfusion Imaging
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
- Contribution to journal › Article
- 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
Impact of the COVID-19 pandemic on nuclear medicine departments in Europe
- Contribution to journal › Debate/Note/Editorial
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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
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
