"
Multimodal Imaging to Delineate Tumor Heterogeneity in Cerebral Gliomas"
written by Astrid Ellen Grams, Jens Gempt, Florian Ringel, Eric Soehngen, Sabrina Astner, Jürgen Schlegel, Bernhard Meyer, Claus Zimmer, Annette Förschler,
published by
Open Journal of Radiology,
Vol.4 No.2, 2014
has been cited by the following article(s):
|
[1]
|
A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy
Scientific Reports,
2018
DOI:10.1038/s41598-018-21678-2
|
|
|
|
|
[2]
|
A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy
Scientific Reports,
2018
DOI:10.1038/s41598-018-21678-2
|
|
|
|
|
[3]
|
A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy
Scientific Reports,
2018
DOI:10.1038/s41598-018-21678-2
|
|
|
|
|
[4]
|
Diffusion and perfusion weighted magnetic resonance imaging for tumor volume definition in radiotherapy of brain tumors
Radiation Oncology,
2016
DOI:10.1186/s13014-016-0702-y
|
|
|
|
|
[5]
|
Convex-Envelope Based Automated Quantitative Approach to Multi-Voxel 1H-MRS Applied to Brain Tumor Analysis
PLOS ONE,
2015
DOI:10.1371/journal.pone.0137850
|
|
|
|