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Henkjan Huisman

Showing results (11-20 of 80) with videos related to

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IEEE Transactions on Medical Imaging|April 29, 2014
Computer-aided detection of prostate cancer in MRIGeert Litjens, Oscar Debats, Jelle Barentsz, et al.
Medical Image Analysis|January 1, 2013
Chest wall segmentation in automated 3D breast ultrasound scansTao Tan, Bram Platel, Ritse M Mann, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 12, 2023
The Effect of Image Resampling on the Performance of Radiomics-Based Artificial Intelligence in Multicenter Prostate MRIJeroen Bleker, Christian Roest, Derya Yakar, et al.
European Radiology|December 18, 2021
Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation studyFlorian Michallek, Henkjan Huisman, Bernd Hamm, et al.
European Radiology|December 16, 2021
Prediction of prostate cancer grade using fractal analysis of perfusion MRI: retrospective proof-of-principle studyFlorian Michallek, Henkjan Huisman, Bernd Hamm, et al.
IEEE Transactions on Medical Imaging|March 10, 2006
Volumetric breast density estimation from full-field digital mammogramsSaskia van Engeland, Peter R Snoeren, Henkjan Huisman, et al.
European Radiology Experimental|July 31, 2022
Artificial intelligence for prostate MRI: open datasets, available applications, and grand challengesMohammed R S Sunoqrot, Anindo Saha, Matin Hosseinzadeh, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
A pattern recognition approach to zonal segmentation of the prostate on MRIGeert Litjens, Oscar Debats, Wendy van de Ven, et al.
Journal of Applied Clinical Medical Physics|March 9, 2005
Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumorsTheo Veninga, Henkjan Huisman, Richard W M van der Maazen, et al.
European Radiology Experimental|October 3, 2023
Complexities of deep learning-based undersampled MR image reconstructionConstant Richard Noordman, Derya Yakar, Joeran Bosma, et al.
Pageof 8

Showing results (11-20 of 80) with videos related to

Sort By:
Pageof 8
IEEE Transactions on Medical Imaging|April 29, 2014
Computer-aided detection of prostate cancer in MRIGeert Litjens, Oscar Debats, Jelle Barentsz, et al.
Medical Image Analysis|January 1, 2013
Chest wall segmentation in automated 3D breast ultrasound scansTao Tan, Bram Platel, Ritse M Mann, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 12, 2023
The Effect of Image Resampling on the Performance of Radiomics-Based Artificial Intelligence in Multicenter Prostate MRIJeroen Bleker, Christian Roest, Derya Yakar, et al.
European Radiology|December 18, 2021
Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation studyFlorian Michallek, Henkjan Huisman, Bernd Hamm, et al.
European Radiology|December 16, 2021
Prediction of prostate cancer grade using fractal analysis of perfusion MRI: retrospective proof-of-principle studyFlorian Michallek, Henkjan Huisman, Bernd Hamm, et al.
IEEE Transactions on Medical Imaging|March 10, 2006
Volumetric breast density estimation from full-field digital mammogramsSaskia van Engeland, Peter R Snoeren, Henkjan Huisman, et al.
European Radiology Experimental|July 31, 2022
Artificial intelligence for prostate MRI: open datasets, available applications, and grand challengesMohammed R S Sunoqrot, Anindo Saha, Matin Hosseinzadeh, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
A pattern recognition approach to zonal segmentation of the prostate on MRIGeert Litjens, Oscar Debats, Wendy van de Ven, et al.
Journal of Applied Clinical Medical Physics|March 9, 2005
Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumorsTheo Veninga, Henkjan Huisman, Richard W M van der Maazen, et al.
European Radiology Experimental|October 3, 2023
Complexities of deep learning-based undersampled MR image reconstructionConstant Richard Noordman, Derya Yakar, Joeran Bosma, et al.
Pageof 8