Dimitri Hamzaoui
Nice, 06902, France
Last Updated: 09/26/2026
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Found 8 publications
A Systematic Review of the Diagnostic Accuracy of Deep Learning Models for the Automatic Detection, Localization, and Characterization of Clinically Significant Prostate Cancer on Magnetic Resonance Imaging.
Journal: European urology oncology
Published: August 29, 2024
Reference standard for the evaluation of automatic segmentation algorithms: Quantification of inter observer variability of manual delineation of prostate contour on MRI.
Journal: Diagnostic and interventional imaging
Published: May 02, 2023
3.0 T prostate MRI: Visual assessment of 2D and 3D T2-weighted imaging sequences using PI-QUAL score.
Journal: European journal of radiology
Published: April 11, 2023
Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literature.
Journal: Insights into imaging
Published: August 11, 2022
Correction to: Prostate volume prediction on MRI: tools, accuracy and variability.
Journal: European radiology
Published: March 23, 2022
Prostate volume prediction on MRI: tools, accuracy and variability.
Journal: European radiology
Published: September 24, 2021
Robust Bayesian fusion of continuous segmentation maps.
Journal: Medical image analysis
Published: May 31, 2021
Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology.
Journal: Insights into imaging
Published: January 18, 2021
Showing 1-8 of 8
Last Updated: 09/26/2026