Robin L. Gilmore

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Image registration is a very important problem in computer vision and medical image processing. Numerous algorithms for registering single and multi-modal image data have been reported in these areas. Robustness as well as computational efficiency are prime factors of importance in image data registration. In this paper, a robust/reliable and efficient(More)
Research on category-specific naming deficits and on noun and verb naming has raised questions about how organization of knowledge in the brain impacts word retrieval. The semantic attribute hypothesis posits that lexical access is mediated by brain systems that process the most definitive attributes of specific concepts. For example, it has been suggested(More)
This study was designed to (1) compare retrospective and momentary assessments of mood/affect, and (2) examine the temporal relationship between affect and seizure occurrence. Patients with epilepsy undergoing long-term video/EEG monitoring (LTM) completed an affect rating of how they felt "at that moment" each time a programmed watch beeped (momentary(More)
BACKGROUND Sleep disorders are associated with several types of degenerative dementias, including Alzheimer and prion diseases. Animal models have demonstrated abolition of rapid eye movement atonia, resulting in dream-enacting complex movements termed oneiric behavior, and patients with fatal familial insomnia may have vivid dreams that intrude on(More)
Image registration is a very important problem in medical image processing. In this paper, a hierarchical optical ow motion model is used to solve the registration problem. We develop a novel numerical algorithm to achieve robust and eecient 3D/2D image registration. Motion estimation examples on synthetic & real data with performance comparison to(More)
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