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- 2022
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Mark
Assessing the accuracy of [18F]PSMA-1007 PET/CT for primary staging of lymph node metastases in intermediate- and high-risk prostate cancer patients
(
- Contribution to journal › Article
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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)
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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
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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
- 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
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
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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
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
(
- Contribution to journal › Article