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Henkjan J Huisman

Showing results (1-10 of 39) 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
Medical Image Analysis|August 4, 2017
Designing image segmentation studies: Statistical power, sample size and reference standard qualityEli Gibson, Yipeng Hu, Henkjan J Huisman, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Automated calibration for computerized analysis of prostate lesions using pharmacokinetic magnetic resonance imagesPieter C Vos, Thomas Hambrock, Jelle O Barenstz, et al.
Physics in Medicine and Biology|March 4, 2010
Computer-assisted analysis of peripheral zone prostate lesions using T2-weighted and dynamic contrast enhanced T1-weighted MRIPieter C Vos, Thomas Hambrock, Jelle O Barenstz, et al.
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.
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 Urology Focus|July 30, 2017
Elastic Versus Rigid Image Registration in Magnetic Resonance Imaging-transrectal Ultrasound Fusion Prostate Biopsy: A Systematic Review and Meta-analysisWulphert Venderink, Maarten de Rooij, J P Michiel Sedelaar, et al.
Diagnostics (Basel, Switzerland)|June 2, 2021
Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative ReviewJasper J Twilt, Kicky G van Leeuwen, Henkjan J Huisman, 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.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
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
Medical Image Analysis|August 4, 2017
Designing image segmentation studies: Statistical power, sample size and reference standard qualityEli Gibson, Yipeng Hu, Henkjan J Huisman, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Automated calibration for computerized analysis of prostate lesions using pharmacokinetic magnetic resonance imagesPieter C Vos, Thomas Hambrock, Jelle O Barenstz, et al.
Physics in Medicine and Biology|March 4, 2010
Computer-assisted analysis of peripheral zone prostate lesions using T2-weighted and dynamic contrast enhanced T1-weighted MRIPieter C Vos, Thomas Hambrock, Jelle O Barenstz, et al.
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.
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 Urology Focus|July 30, 2017
Elastic Versus Rigid Image Registration in Magnetic Resonance Imaging-transrectal Ultrasound Fusion Prostate Biopsy: A Systematic Review and Meta-analysisWulphert Venderink, Maarten de Rooij, J P Michiel Sedelaar, et al.
Diagnostics (Basel, Switzerland)|June 2, 2021
Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative ReviewJasper J Twilt, Kicky G van Leeuwen, Henkjan J Huisman, 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.
Pageof 4