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Mathew R Divine

Showing results (1-10 of 8) with videos related to

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Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|January 17, 2015
Combined PET/MR: a technology becomes matureHans F Wehrl, Alexander W Sauter, Mathew R Divine, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 10, 2015
Image-derived biomarkers and multimodal imaging strategies for lung cancer managementAlexander W Sauter, Nina Schwenzer, Mathew R Divine, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 15, 2015
A Population-Based Gaussian Mixture Model Incorporating 18F-FDG PET and Diffusion-Weighted MRI Quantifies Tumor Tissue ClassesMathew R Divine, Prateek Katiyar, Ursula Kohlhofer, et al.
Molecular Imaging and Biology|October 14, 2016
A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological ValidationPrateek Katiyar, Mathew R Divine, Ursula Kohlhofer, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 5, 2016
Spectral Clustering Predicts Tumor Tissue Heterogeneity Using Dynamic <sup>18</sup>F-FDG PET: A Complement to the Standard Compartmental Modeling ApproachPrateek Katiyar, Mathew R Divine, Ursula Kohlhofer, et al.
Bioinformatics (Oxford, England)|December 13, 2019
ClinVAP: a reporting strategy from variants to therapeutic optionsBilge Sürün, Charlotta P I Schärfe, Mathew R Divine, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 17, 2014
Preclinical and Translational PET/MR ImagingHans F Wehrl, Stefan Wiehr, Mathew R Divine, et al.
Nature Biomedical Engineering|June 5, 2023
Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET-MRI dataPrateek Katiyar, Johannes Schwenck, Leonie Frauenfeld, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|January 17, 2015
Combined PET/MR: a technology becomes matureHans F Wehrl, Alexander W Sauter, Mathew R Divine, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 10, 2015
Image-derived biomarkers and multimodal imaging strategies for lung cancer managementAlexander W Sauter, Nina Schwenzer, Mathew R Divine, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 15, 2015
A Population-Based Gaussian Mixture Model Incorporating 18F-FDG PET and Diffusion-Weighted MRI Quantifies Tumor Tissue ClassesMathew R Divine, Prateek Katiyar, Ursula Kohlhofer, et al.
Molecular Imaging and Biology|October 14, 2016
A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological ValidationPrateek Katiyar, Mathew R Divine, Ursula Kohlhofer, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 5, 2016
Spectral Clustering Predicts Tumor Tissue Heterogeneity Using Dynamic <sup>18</sup>F-FDG PET: A Complement to the Standard Compartmental Modeling ApproachPrateek Katiyar, Mathew R Divine, Ursula Kohlhofer, et al.
Bioinformatics (Oxford, England)|December 13, 2019
ClinVAP: a reporting strategy from variants to therapeutic optionsBilge Sürün, Charlotta P I Schärfe, Mathew R Divine, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 17, 2014
Preclinical and Translational PET/MR ImagingHans F Wehrl, Stefan Wiehr, Mathew R Divine, et al.
Nature Biomedical Engineering|June 5, 2023
Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET-MRI dataPrateek Katiyar, Johannes Schwenck, Leonie Frauenfeld, et al.
Pageof 1