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Mattijs Elschot

Showing results (11-20 of 58) with videos related to

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BJU International|August 22, 2023
Performance of magnetic resonance imaging-based prostate cancer risk calculators and decision strategies in two large European medical centresPetter Davik, Sebastiaan Remmers, Mattijs Elschot, et al.
Plos One|November 11, 2011
Quantitative evaluation of scintillation camera imaging characteristics of isotopes used in liver radioembolizationMattijs Elschot, Johannes Franciscus Wilhelmus Nijsen, Alida Johanna Dam, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 6, 2018
The Effect of Including Bone in Dixon-Based Attenuation Correction for <sup>18</sup>F-Fluciclovine PET/MRI of Prostate CancerMattijs Elschot, Kirsten M Selnæs, Håkon Johansen, et al.
Plos One|May 27, 2021
Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostateIngrid Framås Syversen, Mattijs Elschot, Elise Sandsmark, et al.
Magma (New York, N.Y.)|August 2, 2020
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognitionMohammed R S Sunoqrot, Gabriel A Nketiah, Kirsten M Selnæs, et al.
PET Clinics|September 2, 2019
Prostate-Specific Membrane Antigen PET/Magnetic Resonance Imaging for the Planning of Salvage Radiotherapy in Patients with Prostate Cancer with Biochemical Recurrence After Radical ProstatectomyMattijs Elschot, Kirsten Margrete Selnæs, Sverre Langørgen, et al.
NMR in Biomedicine|March 22, 2024
Reducing femoral flow artefacts in radial magnetic resonance fingerprinting of the prostate using region-optimised virtual coilsKaia I Sørland, Christopher G Trimble, Chia-Yin Wu, et al.
Scientific Reports|January 23, 2021
Utility of T<sub>2</sub>-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter studyGabriel A Nketiah, Mattijs Elschot, Tom W Scheenen, et al.
Diagnostics (Basel, Switzerland)|September 28, 2021
The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR ImagesMohammed R S Sunoqrot, Kirsten M Selnæs, Elise Sandsmark, et al.
European Radiology|December 16, 2016
T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary resultsGabriel Nketiah, Mattijs Elschot, Eugene Kim, et al.
Pageof 6

Showing results (11-20 of 58) with videos related to

Sort By:
Pageof 6
BJU International|August 22, 2023
Performance of magnetic resonance imaging-based prostate cancer risk calculators and decision strategies in two large European medical centresPetter Davik, Sebastiaan Remmers, Mattijs Elschot, et al.
Plos One|November 11, 2011
Quantitative evaluation of scintillation camera imaging characteristics of isotopes used in liver radioembolizationMattijs Elschot, Johannes Franciscus Wilhelmus Nijsen, Alida Johanna Dam, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 6, 2018
The Effect of Including Bone in Dixon-Based Attenuation Correction for <sup>18</sup>F-Fluciclovine PET/MRI of Prostate CancerMattijs Elschot, Kirsten M Selnæs, Håkon Johansen, et al.
Plos One|May 27, 2021
Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostateIngrid Framås Syversen, Mattijs Elschot, Elise Sandsmark, et al.
Magma (New York, N.Y.)|August 2, 2020
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognitionMohammed R S Sunoqrot, Gabriel A Nketiah, Kirsten M Selnæs, et al.
PET Clinics|September 2, 2019
Prostate-Specific Membrane Antigen PET/Magnetic Resonance Imaging for the Planning of Salvage Radiotherapy in Patients with Prostate Cancer with Biochemical Recurrence After Radical ProstatectomyMattijs Elschot, Kirsten Margrete Selnæs, Sverre Langørgen, et al.
NMR in Biomedicine|March 22, 2024
Reducing femoral flow artefacts in radial magnetic resonance fingerprinting of the prostate using region-optimised virtual coilsKaia I Sørland, Christopher G Trimble, Chia-Yin Wu, et al.
Scientific Reports|January 23, 2021
Utility of T<sub>2</sub>-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter studyGabriel A Nketiah, Mattijs Elschot, Tom W Scheenen, et al.
Diagnostics (Basel, Switzerland)|September 28, 2021
The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR ImagesMohammed R S Sunoqrot, Kirsten M Selnæs, Elise Sandsmark, et al.
European Radiology|December 16, 2016
T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary resultsGabriel Nketiah, Mattijs Elschot, Eugene Kim, et al.
Pageof 6