Browsing Waterloo Research by Subject "artificial intelligence"
Now showing items 1-5 of 5
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Clinical Applications of Artificial Intelligence in positron emission tomography of Lung Cancer
(Elsevier, 2022-01)The ability of a computer to perform tasks normally requiring human intelligence or artificial intelligence (AI) is not new. However, until recently, practical applications in medical imaging were limited, especially in ... -
Machine Learning in the Nuclear Medicine: Part 1-Introduction
(Society of Nuclear Medicine and Molecular Imaging, 2019-04)This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a nuclear medicine context. This part addresses the history of ML and describes common algorithms, with illustrations of when ... -
A Review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells
(Elsevier, 2021-12)The real-time model-based control of polymer electrolyte membrane (PEM) fuel cells requires a computationally efficient and sufficiently accurate model to predict the transient and long-term performance under various ... -
Role of Artificial Intelligence in Theranostics: Toward Routine Personalized Radiopharmaceutical Therapies
(Elsevier, 2021-10)KEY POINTS AI has shown promising applications in quantitative imaging required for dosimetry. Segmentation of organs and tumors, the most time consuming task in the dosimetry workflow, can be automated using AI. ... -
Towards Olefin Multi-block Copolymers with Tailored Properties: A Molecular Perspective
(Wiley, 2021-05)Recent progress in macromolecular reaction engineering has enabled the synthesis of sequence-controlled polymers. The advent of Olefin Block Copolymers (OBCs) via chain shuttling polymerization of ethylene with α-olefins ...