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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
-
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)
-
Mark
Artificial Intelligence-based Assessment of Prostate Cancer Metastases in PET/CT
(2022) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
-
Mark
Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT
- Contribution to journal › Article
- 2021
-
Mark
Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11
- Contribution to journal › Article
-
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
Head-to-head comparison of a Si-photomultiplier-based and a conventional photomultiplier-based PET-CT system
- Contribution to journal › Article
-
Mark
Impact of the COVID-19 pandemic on nuclear medicine departments in Europe
- Contribution to journal › Debate/Note/Editorial
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Mark
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
- Contribution to journal › Article
-
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
