Geert Litjens
Geert Litjens
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J. Barentsz
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Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol.
Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.
Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI
Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate Cancer
Computer-aided detection of prostate cancer in MRI
Computer-aided Detection of Prostate Cancer in Multi-parametric Magnetic Resonance Imaging
Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI
Assessment of Prostate Cancer Aggressiveness Using Dynamic Contrast-enhanced Magnetic Resonance Imaging at 3 T
Differentiation of Prostatitis and Prostate Cancer by Using Diffusion-weighted MR Imaging and MR-guided Biopsy at 3 T
Initial prospective evaluation of the prostate imaging reporting and data standard (PI-RADS): Can it reduce unnecessary MR guided biopsies?
Interpatient Variation in Normal Peripheral Zone Apparent Diffusion Coefficient: Effect on the Prediction of Prostate Cancer Aggressiveness
Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach
Computerized characterization of central gland lesions using texture and relaxation features from T2-weighted prostate MRI
Automatic Computer Aided Detection of Abnormalities in Multi-Parametric Prostate MRI
Detection of Lymph Node Metastases with Ferumoxtran-10 vs Ferumoxytol
Differentiation of Normal Prostate Tissue, Prostatitis, and Prostate Cancer: Correlation between Diffusion-weighted Imaging and MR-guided Biopsy
Required accuracy of MR-US registration for prostate biopsies
Zone-specific Automatic Computer-aided Detection of Prostate Cancer in MRI
Computer aided detection of prostate cancer using T2W, DWI and DCE-MRI: methods and clinical applications
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