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Geert J S Litjens

Showing results (1-10 of 13) with videos related to

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Peerj|November 28, 2019
Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networksOscar A Debats, Geert J S Litjens, Henkjan J Huisman
European Radiology|June 11, 2015
Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRIGeert J S Litjens, Jelle O Barentsz, Nico Karssemeijer, et al.
Medical Physics|June 10, 2016
Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patientsOscar A Debats, Midas Meijs, Geert J S Litjens, et al.
Radiology|August 28, 2012
Interpatient variation in normal peripheral zone apparent diffusion coefficient: effect on the prediction of prostate cancer aggressivenessGeert J S Litjens, Thomas Hambrock, Christina Hulsbergen-van de Kaa, et al.
Peerj|October 27, 2016
Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytolOscar A Debats, Ansje S Fortuin, Hanneke J M Meijer, et al.
Radiology|January 19, 2013
Differentiation of prostatitis and prostate cancer by using diffusion-weighted MR imaging and MR-guided biopsy at 3 TKlaas N A Nagel, Martijn G Schouten, Thomas Hambrock, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomyGeert J S Litjens, Henkjan J Huisman, Robin M Elliott, et al.
Investigative Radiology|April 14, 2015
Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate CancerEline K Vos, Thiele Kobus, Geert J S Litjens, et al.
European Urology|June 12, 2013
Assessment of prostate cancer aggressiveness using dynamic contrast-enhanced magnetic resonance imaging at 3 TEline K Vos, Geert J S Litjens, Thiele Kobus, et al.
Radiology|July 21, 2015
Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR ImagingGeert J S Litjens, Robin Elliott, Natalie N C Shih, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Peerj|November 28, 2019
Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networksOscar A Debats, Geert J S Litjens, Henkjan J Huisman
European Radiology|June 11, 2015
Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRIGeert J S Litjens, Jelle O Barentsz, Nico Karssemeijer, et al.
Medical Physics|June 10, 2016
Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patientsOscar A Debats, Midas Meijs, Geert J S Litjens, et al.
Radiology|August 28, 2012
Interpatient variation in normal peripheral zone apparent diffusion coefficient: effect on the prediction of prostate cancer aggressivenessGeert J S Litjens, Thomas Hambrock, Christina Hulsbergen-van de Kaa, et al.
Peerj|October 27, 2016
Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytolOscar A Debats, Ansje S Fortuin, Hanneke J M Meijer, et al.
Radiology|January 19, 2013
Differentiation of prostatitis and prostate cancer by using diffusion-weighted MR imaging and MR-guided biopsy at 3 TKlaas N A Nagel, Martijn G Schouten, Thomas Hambrock, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomyGeert J S Litjens, Henkjan J Huisman, Robin M Elliott, et al.
Investigative Radiology|April 14, 2015
Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate CancerEline K Vos, Thiele Kobus, Geert J S Litjens, et al.
European Urology|June 12, 2013
Assessment of prostate cancer aggressiveness using dynamic contrast-enhanced magnetic resonance imaging at 3 TEline K Vos, Geert J S Litjens, Thiele Kobus, et al.
Radiology|July 21, 2015
Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR ImagingGeert J S Litjens, Robin Elliott, Natalie N C Shih, et al.
Pageof 2