Anthony Skeats
Papers
1
Total Citations
2
H-Index
1
About
Anthony Skeats is a rising innovator in medical imaging, specializing in advanced computed tomography (CT) system design and reconstruction algorithms. His primary research focuses on multi-source array (MXA) CT architectures, particularly for brain imaging, where he addresses fundamental challenges in sampling and x-ray scatter. Skeats’s major contribution is the development of a semi-stationary head CT prototype and a comprehensive image formation pipeline that integrates adaptive scatter estimation with learned diffusion models for reconstruction. This work, detailed in his 2024 paper "Multi-source semi-stationary CT for brain imaging," has already garnered early citations, signaling its importance in pushing CT technology toward faster, lower-dose, and more accessible imaging. By combining hardware innovation with cutting-edge computational methods, Skeats is helping to redefine the capabilities of CT systems, with potential applications in point-of-care and emergency settings. His achievements demonstrate a rare ability to bridge engineering design and algorithmic development, making him a promising voice in the next generation of medical imaging research.
Research Focus
Key Achievements
Top Papers
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