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Maarten de Rooij

Showing results (1-10 of 57) with videos related to

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European Radiology|July 9, 2024
Prostate-MRI reporting should be done with the aid of AI systems: ConsMaarten de Rooij
European Radiology|November 29, 2021
PI-QUAL v.1: the first step towards good-quality prostate MRIMaarten de Rooij, Jelle O Barentsz
European Radiology|February 5, 2025
Why quality matters in prostate-MR images: implementing PI-QUAL v2 for improved diagnosis and researchJelle Barentsz, Linda Thijssen, Caroline Moore, et al.
European Urology|March 7, 2017
Prostate Imaging-Reporting and Data System Version 2 and the Implementation of High-quality Prostate Magnetic Resonance ImagingJelle Barentsz, Maarten de Rooij, Geert Villeirs, et al.
European Urology Focus|December 19, 2021
Risk Stratification and Artificial Intelligence in Early Magnetic Resonance Imaging-based Detection of Prostate CancerMaarten de Rooij, Hendrik van Poppel, Jelle O Barentsz
Radiologic Clinics of North America|November 16, 2023
Update on Optimization of Prostate MR Imaging Technique and Image QualityTristan Barrett, Kang-Lung Lee, Maarten de Rooij, et al.
European Journal of Radiology|June 24, 2023
Radiomics based automated quality assessment for T2W prostate MR imagesLinda C P Thijssen, Maarten de Rooij, Jelle O Barentsz, et al.
European Radiology|November 17, 2021
Deep learning-assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledgeMatin Hosseinzadeh, Anindo Saha, Patrick Brand, et al.
Radiology. Artificial Intelligence|October 5, 2023
Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning-based Prostate Cancer Detection Using Biparametric MRIJoeran S Bosma, Anindo Saha, Matin Hosseinzadeh, et al.
European Radiology|June 27, 2024
Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?Vilma Bozgo, Christian Roest, Inge van Oort, et al.
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
European Radiology|July 9, 2024
Prostate-MRI reporting should be done with the aid of AI systems: ConsMaarten de Rooij
European Radiology|November 29, 2021
PI-QUAL v.1: the first step towards good-quality prostate MRIMaarten de Rooij, Jelle O Barentsz
European Radiology|February 5, 2025
Why quality matters in prostate-MR images: implementing PI-QUAL v2 for improved diagnosis and researchJelle Barentsz, Linda Thijssen, Caroline Moore, et al.
European Urology|March 7, 2017
Prostate Imaging-Reporting and Data System Version 2 and the Implementation of High-quality Prostate Magnetic Resonance ImagingJelle Barentsz, Maarten de Rooij, Geert Villeirs, et al.
European Urology Focus|December 19, 2021
Risk Stratification and Artificial Intelligence in Early Magnetic Resonance Imaging-based Detection of Prostate CancerMaarten de Rooij, Hendrik van Poppel, Jelle O Barentsz
Radiologic Clinics of North America|November 16, 2023
Update on Optimization of Prostate MR Imaging Technique and Image QualityTristan Barrett, Kang-Lung Lee, Maarten de Rooij, et al.
European Journal of Radiology|June 24, 2023
Radiomics based automated quality assessment for T2W prostate MR imagesLinda C P Thijssen, Maarten de Rooij, Jelle O Barentsz, et al.
European Radiology|November 17, 2021
Deep learning-assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledgeMatin Hosseinzadeh, Anindo Saha, Patrick Brand, et al.
Radiology. Artificial Intelligence|October 5, 2023
Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning-based Prostate Cancer Detection Using Biparametric MRIJoeran S Bosma, Anindo Saha, Matin Hosseinzadeh, et al.
European Radiology|June 27, 2024
Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?Vilma Bozgo, Christian Roest, Inge van Oort, et al.
Pageof 6