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ISBI
2007
IEEE
14 years 2 months ago
Brain Surface Conformal Parameterization with the Ricci Flow
In medical imaging, parameterized 3D surface models are of great interest for anatomical modeling and visualization, statistical comparisons of anatomy, and surface-based registra...
Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Tho...
ECCV
2000
Springer
14 years 10 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
TMI
2008
108views more  TMI 2008»
13 years 8 months ago
Estimation and Statistical Bounds for Three-Dimensional Polar Shapes in Diffuse Optical Tomography
Abstract--Voxel-based reconstructions in diffuse optical tomography (DOT) using a quadratic regularization functional tend to produce very smooth images due to the attenuation of h...
Gregory Boverman, Eric L. Miller, Dana H. Brooks, ...
DAC
2011
ACM
12 years 8 months ago
Modeling adaptive streaming applications with parameterized polyhedral process networks
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
Jiali Teddy Zhai, Hristo Nikolov, Todor Stefanov
ESOP
2010
Springer
14 years 5 months ago
Parameterized Memory Models and Concurrent Separation Logic
Formal reasoning about concurrent programs is usually done with the assumption that the underlying memory model is sequentially consistent, i.e. the execution outcome is equivalen...
Rodrigo Ferreira, Xinyu Feng and Zhong Shao