This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
Abstract. Surgeons need a robust interventional system capable of providing reliable, real-time information regarding the position and orientation of the surgical targets and tools...
Cristian A. Linte, Marcin Wierzbicki, John Moore, ...
A general-purpose augmented reality apparatus was developed. The system uses rapidly scanned lasers to display information directly onto the patient using the patient as a ``proje...
Neil D. Glossop, Chris Wedlake, John Moore, Terry ...
Information theoretic based measures form a fundamental class of similarity measures for comparing clusterings, beside the class of pair-counting based and set-matching based meas...
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...