This article addresses visualization of deformation or shape differences between bones while conventional visualization techniques are often about a single bone such as its 3D rec...
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
While medical progress has been made in the diagnosis and treatment of heart diseases it remains the biggest killer in the western world. Cardiovascular diseases cause considerabl...
Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering appli...
Visualization of distributed processes is useful for the management of large-scale distributed computing systems. Reactivity and scalability are especially important requirements ...