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Sanne E Wiegers

Showing results (1-10 of 23) with videos related to

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EJNMMI Research|July 29, 2022
Combatting the effect of image reconstruction settings on lymphoma [<sup>18</sup>F]FDG PET metabolic tumor volume assessment using various segmentation methodsMaria C Ferrández, Jakoba J Eertink, Sandeep S V Golla, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 18, 2025
Can we obtain prognostic information from healthy tissue uptake and volume in baseline <sup>18</sup>F-FDG PET/CT imaging in diffuse large B-cell lymphoma?Nienke R Gerards, Sanne E Wiegers, Anne L Bes, et al.
Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [And] European Academy of Otology and Neurotology|January 11, 2025
Treatment Response Evaluation in Necrotizing Otitis Externa Using 18 F-FDG-PET ImagingRobin W Jansen, Pieter Kemp, Sanne E Wiegers, et al.
Diagnostics (Basel, Switzerland)|November 27, 2024
Feasibility of Using <sup>18</sup>F-FDG PET/CT Radiomics and Machine Learning to Detect Drug-Induced Interstitial Lung DiseaseCharlotte L C Smith, Gerben J C Zwezerijnen, Sanne E Wiegers, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|June 12, 2025
Summary Report of the SNMMI AI Task Force Radiomics Challenge 2024Ronald Boellaard, Arman Rahmim, Jacoba J Eertink, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|July 17, 2021
Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter?Jakoba J Eertink, Elisabeth A G Pfaehler, Sanne E Wiegers, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 27, 2022
Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factorGerben J C Zwezerijnen, Jakoba J Eertink, Maria C Ferrández, et al.
EJNMMI Physics|February 8, 2026
Segmentation method comparison for baseline [<sup>18</sup>F]FDG PET-CT in follicular lymphoma patientsAnouk D M Nijman, Sanne E Wiegers, Gerben J C Zwezerijnen, et al.
EJNMMI Research|September 27, 2023
Sensitivity of an AI method for [<sup>18</sup>F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocolsMaria C Ferrández, Sandeep S V Golla, Jakoba J Eertink, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 4, 2022
Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics featuresJakoba J Eertink, Gerben J C Zwezerijnen, Matthijs C F Cysouw, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
EJNMMI Research|July 29, 2022
Combatting the effect of image reconstruction settings on lymphoma [<sup>18</sup>F]FDG PET metabolic tumor volume assessment using various segmentation methodsMaria C Ferrández, Jakoba J Eertink, Sandeep S V Golla, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 18, 2025
Can we obtain prognostic information from healthy tissue uptake and volume in baseline <sup>18</sup>F-FDG PET/CT imaging in diffuse large B-cell lymphoma?Nienke R Gerards, Sanne E Wiegers, Anne L Bes, et al.
Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [And] European Academy of Otology and Neurotology|January 11, 2025
Treatment Response Evaluation in Necrotizing Otitis Externa Using 18 F-FDG-PET ImagingRobin W Jansen, Pieter Kemp, Sanne E Wiegers, et al.
Diagnostics (Basel, Switzerland)|November 27, 2024
Feasibility of Using <sup>18</sup>F-FDG PET/CT Radiomics and Machine Learning to Detect Drug-Induced Interstitial Lung DiseaseCharlotte L C Smith, Gerben J C Zwezerijnen, Sanne E Wiegers, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|June 12, 2025
Summary Report of the SNMMI AI Task Force Radiomics Challenge 2024Ronald Boellaard, Arman Rahmim, Jacoba J Eertink, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|July 17, 2021
Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter?Jakoba J Eertink, Elisabeth A G Pfaehler, Sanne E Wiegers, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 27, 2022
Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factorGerben J C Zwezerijnen, Jakoba J Eertink, Maria C Ferrández, et al.
EJNMMI Physics|February 8, 2026
Segmentation method comparison for baseline [<sup>18</sup>F]FDG PET-CT in follicular lymphoma patientsAnouk D M Nijman, Sanne E Wiegers, Gerben J C Zwezerijnen, et al.
EJNMMI Research|September 27, 2023
Sensitivity of an AI method for [<sup>18</sup>F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocolsMaria C Ferrández, Sandeep S V Golla, Jakoba J Eertink, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 4, 2022
Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics featuresJakoba J Eertink, Gerben J C Zwezerijnen, Matthijs C F Cysouw, et al.
Pageof 3