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- 2024
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Mark
Acoustic Enrichment of Heterogeneous Circulating Tumor Cells and Clusters from Metastatic Prostate Cancer Patients
(
- Contribution to journal › Article
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Mark
A pilot study of an organised population‐based testing programme for prostate cancer
(
- Contribution to journal › Article
- 2023
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Mark
Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence : The PET index
(
- Contribution to journal › Article
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Mark
Correlation between ADC, ADC ratio, and Gleason Grade group in prostate cancer patients undergoing radical prostatectomy : Retrospective multicenter study with different MRI scanners
(
- Contribution to journal › Article
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Mark
Protein and amino acid intakes in relation to prostate cancer risk and mortality—A prospective study in the European Prospective Investigation into Cancer and Nutrition
(
- Contribution to journal › Article
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Mark
Intake of the Total, Classes, and Subclasses of (Poly)Phenols and Risk of Prostate Cancer : A Prospective Analysis of the EPIC Study
(
- Contribution to journal › Article
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Mark
Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI
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- Contribution to journal › Article
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Mark
Unanswered questions in prostate cancer — findings of an international multi-stakeholder consensus by the PIONEER consortium
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- Contribution to journal › Article
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Mark
Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies
2023) 22nd Scandinavian Conference on Image Analysis, SCIA 2023 In Lecture Notes in Computer Science 13886. p.293-308(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Acoustic enrichment of heterogenous circulating tumor cells and clusters from patients with metastatic prostate cancer
2023)(
- Working paper/Preprint › Preprint in preprint archive