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- 2024
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Mark
Deep learning performance on MRI prostate gland segmentation : evaluation of two commercially available algorithms compared with an expert radiologist
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- Contribution to journal › Article
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Mark
Evaluation of superficial xenograft volume estimation by ultrasound and caliper against MRI in a longitudinal pre-clinical radiotherapeutic setting
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- 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
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- 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
Correlation between ADC, ADC ratio, and Gleason Grade group in prostate cancer patients undergoing radical prostatectomy : Retrospective multicenter study with different MRI scanners
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- Contribution to journal › Article
- 2022
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Mark
Analytical performance of aPROMISE : automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized reporting
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- Contribution to journal › Article
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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
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- Contribution to journal › Article
- 2018
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Mark
A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer
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- Contribution to journal › Article
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Mark
Generalization of prostate cancer classification for multiple sites using deep learning
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2016
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Mark
Analytical Validation of the Automated Bone Scan Index as an Imaging Biomarker to Standardize the Quantitative Changes in Bone Scans of Patients with Metastatic Prostate Cancer.
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- Contribution to journal › Article