Mathew R Divine
Overview
Explore the profile of Mathew R Divine including associated specialties, affiliations and a list of published articles.
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8
Citations
100
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Recent Articles
1.
Katiyar P, Schwenck J, Frauenfeld L, Divine M, Agrawal V, Kohlhofer U, et al.
Nat Biomed Eng
. 2023 Jun;
7(8):1014-1027.
PMID: 37277483
In oncology, intratumoural heterogeneity is closely linked with the efficacy of therapy, and can be partially characterized via tumour biopsies. Here we show that intratumoural heterogeneity can be characterized spatially...
2.
Surun B, Scharfe C, Divine M, Heinrich J, Toussaint N, Zimmermann L, et al.
Bioinformatics
. 2019 Dec;
36(7):2316-2317.
PMID: 31830259
Motivation: Next-generation sequencing has become routine in oncology and opens up new avenues of therapies, particularly in personalized oncology setting. An increasing number of cases also implies a need for...
3.
Katiyar P, Divine M, Kohlhofer U, Quintanilla-Martinez L, Scholkopf B, Pichler B, et al.
J Nucl Med
. 2016 Nov;
58(4):651-657.
PMID: 27811120
In this study, we described and validated an unsupervised segmentation algorithm for the assessment of tumor heterogeneity using dynamic F-FDG PET. The aim of our study was to objectively evaluate...
4.
Katiyar P, Divine M, Kohlhofer U, Quintanilla-Martinez L, Scholkopf B, Pichler B, et al.
Mol Imaging Biol
. 2016 Oct;
19(3):391-397.
PMID: 27734253
Purpose: We aimed to precisely estimate intra-tumoral heterogeneity using spatially regularized spectral clustering (SRSC) on multiparametric MRI data and compare the efficacy of SRSC with the previously reported segmentation techniques...
5.
Divine M, Katiyar P, Kohlhofer U, Quintanilla-Martinez L, Pichler B, Disselhorst J
J Nucl Med
. 2015 Dec;
57(3):473-9.
PMID: 26659350
Unlabelled: The aim of our study was to create a novel Gaussian mixture modeling (GMM) pipeline to model the complementary information derived from(18)F-FDG PET and diffusion-weighted MRI (DW-MRI) to separate...
6.
Wehrl H, Sauter A, Divine M, Pichler B
J Nucl Med
. 2015 Jan;
56(2):165-8.
PMID: 25593114
The combination of PET and MR imaging forms a powerful new imaging modality, PET/MR. The major advantages of concurrent PET/MR acquisitions range from patient comfort and increased throughput to multiparametric...
7.
Sauter A, Schwenzer N, Divine M, Pichler B, Pfannenberg C
Eur J Nucl Med Mol Imaging
. 2015 Jan;
42(4):634-43.
PMID: 25573632
Non-small-cell lung cancer is the most common type of lung cancer and one of the leading causes of cancer-related death worldwide. For this reason, advances in diagnosis and treatment are...
8.
Wehrl H, Wiehr S, Divine M, Gatidis S, Gullberg G, Maier F, et al.
J Nucl Med
. 2014 May;
55(Supplement 2):11S-18S.
PMID: 24833493
Combined PET and MR imaging (PET/MR imaging) has progressed tremendously in recent years. The focus of current research has shifted from technologic challenges to the application of this new multimodal...