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Dimitri Hamzaoui

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Journal of Medical Imaging (Bellingham, Wash.)|March 18, 2022
Automatic zonal segmentation of the prostate from 2D and 3D T2-weighted MRI and evaluation for clinical useDimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, et al.
Medical Image Analysis|March 29, 2022
Robust Bayesian fusion of continuous segmentation mapsBenoît Audelan, Dimitri Hamzaoui, Sarah Montagne, et al.
Insights Into Imaging|December 21, 2022
Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literatureCarine Wu, Sarah Montagne, Dimitri Hamzaoui, et al.
European Journal of Radiology|July 15, 2023
3.0 T prostate MRI: Visual assessment of 2D and 3D T2-weighted imaging sequences using PI-QUAL scoreNina Brillat-Savarin, Carine Wu, Laurène Aupin, et al.
Insights Into Imaging|June 5, 2021
Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphologySarah Montagne, Dimitri Hamzaoui, Alexandre Allera, et al.
European Urology Oncology|November 15, 2024
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 ImagingSébastien Molière, Dimitri Hamzaoui, Guillaume Ploussard, et al.
European Radiology|February 16, 2022
Prostate volume prediction on MRI: tools, accuracy and variabilityDimitri Hamzaoui, Sarah Montagne, Benjamin Granger, et al.
European Radiology|March 23, 2022
Correction to: Prostate volume prediction on MRI: tools, accuracy and variabilityDimitri Hamzaoui, Sarah Montagne, Benjamin Granger, et al.
Diagnostic and Interventional Imaging|October 12, 2023
Reference standard for the evaluation of automatic segmentation algorithms: Quantification of inter observer variability of manual delineation of prostate contour on MRISébastien Molière, Dimitri Hamzaoui, Benjamin Granger, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Medical Imaging (Bellingham, Wash.)|March 18, 2022
Automatic zonal segmentation of the prostate from 2D and 3D T2-weighted MRI and evaluation for clinical useDimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, et al.
Medical Image Analysis|March 29, 2022
Robust Bayesian fusion of continuous segmentation mapsBenoît Audelan, Dimitri Hamzaoui, Sarah Montagne, et al.
Insights Into Imaging|December 21, 2022
Automatic segmentation of prostate zonal anatomy on MRI: a systematic review of the literatureCarine Wu, Sarah Montagne, Dimitri Hamzaoui, et al.
European Journal of Radiology|July 15, 2023
3.0 T prostate MRI: Visual assessment of 2D and 3D T2-weighted imaging sequences using PI-QUAL scoreNina Brillat-Savarin, Carine Wu, Laurène Aupin, et al.
Insights Into Imaging|June 5, 2021
Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphologySarah Montagne, Dimitri Hamzaoui, Alexandre Allera, et al.
European Urology Oncology|November 15, 2024
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 ImagingSébastien Molière, Dimitri Hamzaoui, Guillaume Ploussard, et al.
European Radiology|February 16, 2022
Prostate volume prediction on MRI: tools, accuracy and variabilityDimitri Hamzaoui, Sarah Montagne, Benjamin Granger, et al.
European Radiology|March 23, 2022
Correction to: Prostate volume prediction on MRI: tools, accuracy and variabilityDimitri Hamzaoui, Sarah Montagne, Benjamin Granger, et al.
Diagnostic and Interventional Imaging|October 12, 2023
Reference standard for the evaluation of automatic segmentation algorithms: Quantification of inter observer variability of manual delineation of prostate contour on MRISébastien Molière, Dimitri Hamzaoui, Benjamin Granger, et al.
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