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- 2024
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Mark
A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
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- Contribution to journal › Article
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Mark
Risk Factors for Infection After Transrectal Prostate Biopsy : A Population-based Register Study
(
- Contribution to journal › Article
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Mark
Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography
(
- Contribution to journal › Article
- 2022
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Mark
Detection of lymph node metastases in patients with prostate cancer : Comparing conventional and digital [18F]-fluorocholine PET-CT using histopathology as a reference
(
- Contribution to journal › Article
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Mark
Standardized care pathways for patients with suspected urinary bladder cancer : the Swedish experience
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- Contribution to journal › Article
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Mark
Noninvasive detection of any-stage cancer using free glycosaminoglycans
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- Contribution to journal › Article
- 2021
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Mark
Artificial intelligence-aided CT segmentation for body composition analysis : a validation study
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- 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
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
Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival
(
- Contribution to journal › Article