José A. Gil

TL;DR: The contribution is a completely automated segmentation of tissues and a semi-automatic landmarking process necessary to create the AAM model, trained using 215 images and tested with a leave-4-out scheme.

TL;DR: A clinical protocol in which interactive tools are used to stimulate motor imagery in hemiplegic stroke patients, thereby helping them to recover lost motor function and improving the cost-effectiveness of training is described.

TL;DR: This paper analyzes the perceived latency versus the traffic increase (both in bytes and in objects) to evaluate the benefits from the user's perspective and shows that higher algorithm complexity does not improve performance, object-based algorithms outperform those based on pages, and performance among object- based algorithms present minor differences in the object traffic increase.

TL;DR: A taxonomy based on three categories is proposed, which permits us to identify analogies and differences among the indexes commonly used among the prefetching techniques, and to suggest which indexes should be selected when performing evaluation studies depending on the different elements in the considered web architecture.

TL;DR: Experimental results show that the best element of the Web architecture to locate a single prediction engine is the proxy, whose implementation could reduce the perceived latency up to 67% and schemes for collaborative predictors located at diverse elements of theWeb architecture are analyzed.