Visualization of medical data requires the extraction of surfaces that represent the boundaries of objects of interest. This paper describes a method that combines finding these bo...
Paul W. de Bruin, P. M. van Meeteren, Frans Vos, A...
A large number of test images and their "ground truth" segmentations are needed for performance characterization of the many image segmentation methods. In this work we ...
James Z. Chen, Stephen M. Pizer, Edward L. Chaney,...
We propose a general approach to the reconstruction of brain white matter geometry from diffusion-weighted data. This approach is based on an inverse problem framework. The optimal...
Yann Cointepas, Cyril Poupon, Denis Le Bihan, Jean...
In this paper, we show that the standard point of view of the neuroimaging community about fMRI time series alignment should be revisited to overcome the bias induced by activation...
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...