Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation
By O. Clatz, Maxime Sermesant, P. Bondiau, H. Delingette, Simon Keith Warfield, Grégoire Malandain, Nicholas Ayache. IEEE Transactions on Medical Imaging, 2005
375 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Theory and Mathematics, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/89bd45ae38a4742659fb2572cb2844c5ee8ca7f7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Nikos Paragios
- Aristeidis Sotiras
- Yong Zhou
- Christos Davatzikos
- Dinggang Shen
- Heung-Il Suk
- Seong-Whan Lee
- Hanchuan Peng
In Computational Theory and Mathematics
In Modeling and Simulation
- Amar Debbouche
- Yong Zhou
- Jinrong Wang
- Nazim Idrisoglu Mahmudov
- V. Vijayakumar
- Michal Feckan
- R. Udhayakumar
- Kottakkaran Sooppy Nisar
Citations in the corpus
- A class of time‐fractional reaction‐diffusion equation with nonlocal boundary condition (2018, background): “It is obvious to understand that the above form of FODE (2) equivalent to the following form of integral equation31: u(t) = u(0) + 1 Γ(α) ∫ t”
- Spatial normalization of lesioned brains: Performance evaluation and impact on fMRI analyses (2007, neutral): “The importance of these issues is reflected on the large body of work modeling the effect of lesions on anatomy (Cuadra et al., 2004; Mohamed et al., 2006; Xue et al., 2006; Dawant et al., 2002; Clatz et al., 2005).”
- Deformable Medical Image Registration: A Survey (2013, methodology): “In [181], after an initial a ne registration between a normal atlas and the patient's image, a coupled model that predicts the anisotropic evolution of the tumor as well as its mass-e ect was applied.”