… of brain tumor. To solve all the above problems, we present a multiscale CNNs model, …
learnt, but also complementary information from various MRI image modality (including T1, T1c, T2…

… T1-CE images highlight tumor borders and FLAIR images … of MRI image processing is to
locate and classify brain tumors, T1-… Most of the recent brain tumor classification studies using …

… used when studying tumor growth modeling while functional … a multi-scale and multi-physics
approach to simulate tumor … applications in medical image analysis and other applications …

… cells to drug treatment has rarely been mechanistically studied. Therefore, a multiscale
model is required to investigate such complex biological systems that contain interactions and …

… Malignant gliomas are highly invasive and heterogeneous brain tumors. Their treatment is
… from the class of peptidomimetics, for which clinical studies are ongoing), we consider this …

… II, we illustrate the rationale of multiscale brain modeling and review the main research
lines and challenges. These arguments allow the introduction of multilayer network theory to …

… the methodology of choice for medical image analysis, following its tremendous success
in … segmentation, and is a popular research focus in the medical imaging community. Brian …

… study aims to build an automated system for brain tumor (GBM) segmentation and overall
survival (OS) prediction. Our previous study … decades, several studies based on brain tumor …

… imaging analysis for full assistance of neuroradiology during clinical diagnosis. We propose,
in this paper, an efficient and fully automatic deep multi-scale three-… The principal research …

… for characterization of neuroimaging data of brain tumor patients. We have … studies have
provided evidence of noninvasive comprehensive multiscale characterization of a tumor's …