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Nicolas Pallikarakis

Researcher at University of Patras

Publications -  139
Citations -  1863

Nicolas Pallikarakis is an academic researcher from University of Patras. The author has contributed to research in topics: Tomosynthesis & Imaging phantom. The author has an hindex of 23, co-authored 135 publications receiving 1763 citations. Previous affiliations of Nicolas Pallikarakis include University of Liège & RMIT University.

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A three-dimensional breast software phantom for mammography simulation

TL;DR: This paper presents a methodology for three-dimensional (3D) computer modelling of the breast, using a combination of 3D geometrical primitives and voxel matrices that can be further subjected to simulated x-ray imaging, to produce synthetic mammograms.
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Influence of the bicarbonate pool and on the occurrence of 13CO2 in exhaled air

TL;DR: It is demonstrated that discrepancies between total and exogenous glucose oxidation in relation to the peak occurrence time, as well as the absolute quantities, could be adequately explained by the interference of the bicarbonate stores.
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Fate of exogenous glucose during exercise of different intensities in humans

TL;DR: Between 51 and 64% VO2 max, exogenous glucose oxidation and lipid oxidation tended to level off, whereas endogenous carbohydrate oxidation was markedly enhanced, and the lesser contribution ofExogenous glucose during the most intense exercise might be due to a decrease in the oxidation in the muscles or to a lesser availability of this exogenous sugar.
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A multiple projection method for digital tomosynthesis.

TL;DR: A new method of optimized efficiency for the retrospective reconstruction of tomograms is presented, achieved by segmenting the reconstruction process into discrete transformations that are specific to groups of pixels, rather than performing pixel by pixel operations.
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Evaluation of an improved algorithm for producing realistic 3D breast software phantoms: Application for mammography

TL;DR: The improved methodology generated breast models with increased realism compared to the older model as shown in evaluations of simulated images by experienced radiologists.