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Geoffrey M. Currie

Researcher at Charles Sturt University

Publications -  185
Citations -  1589

Geoffrey M. Currie is an academic researcher from Charles Sturt University. The author has contributed to research in topics: Medicine & Gated SPECT. The author has an hindex of 15, co-authored 166 publications receiving 1067 citations. Previous affiliations of Geoffrey M. Currie include Wheeling Jesuit University & Regis University.

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Journal Article

Internationalisation in higher education

TL;DR: In this paper, the authors present an insight into the motivations and initiatives employed by two regional universities, Charles Sturt University (CSU) and Wheeling Jesuit University (WJU).
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Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.

TL;DR: An understanding of the principles and application of radiomics, artificial neural networks, machine learning, and deep learning is an essential foundation to weave design solutions that accommodate ethical and regulatory requirements, and to craft AI-based algorithms that enhance outcomes, quality, and efficiency.
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Pharmacokinetic Considerations for Digoxin in Older People

TL;DR: A thorough understanding of digoxin pharmacokinetics in the older person is essential for improved therapeutic outcomes, improved compliance, reduced morbidity and improved quality of life.
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Pharmacology, Part 2: Introduction to Pharmacokinetics.

TL;DR: This article will build on the introductory concepts, terminology, and principles of pharmacodynamics explored in the first article in the series, and focus on the basic principles associated with pharmacokinetics.
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The relationship between external beam radiotherapy dose and chronic urinary dysfunction – A methodological critique

TL;DR: A high-level evidence-base for the relationship between external beam radiotherapy dose and chronic urinary dysfunction does not currently exist and the quantification of the actual external beam dose delivered to the functionally important tissues using dose accumulation strategies and the use of objective measures of individual manifestations of urinary dysfunction will assist in the identification of robust relationships between dose and urinary dysfunction for application in widespread clinical practice.