In this paper, we present a study that evaluates the effect of visual and haptic feedbacks and their relevance to human performance in a needle insertion task. A virtual needle ins...
Oleg Gerovichev, Panadda Marayong, Allison M. Okam...
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
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...
We present a comparison between a voxel based approach and a region based technique for detecting brain activation signals in sequences of functional Magnetic Resonance Images (fMR...
We propose a multimodal free form registration algorithm based on maximization of mutual information. Images to be aligned are modeled as a viscous fluid that deforms under the inf...
Emiliano D'Agostino, Frederik Maes, Dirk Vandermeu...
Abstract. We propose a deep study on tissue modelization and classification Techniques on T1-weighted MR images. Three approaches have been taken into account to perform this valid...
Abstract. A novel interactive virtual needle insertion simulation is presented. The insertion model simulates three-degree-of-freedom needle motion, physically-based needle forces,...
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...
Through an understanding of the image formation process, diagnostically important facts about the internal structure and composition of the skin lesions can be derived from their c...
Ela Claridge, Symon Cotton, Per Hall, Marc Moncrie...