Andrew W Beavis (Andrew Beavis)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Network

Machine Learning

Computed Tomography

Top Venues

Biomedical physics & engineering express

PeerJ. Computer science

Physics in medicine and biology

Journal of medical radiation sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Kiri S Newson, David M Benoit, Andrew W Beavis
Encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs. PeerJ. Computer science 10 (2024)
Kiri S Newson, David M Benoit, Andrew W Beavis
Encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs. PeerJ. Computer science 10 (2024)
Kiri S Newson, David M Benoit, Andrew W Beavis
Encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs. PeerJ. Computer science 10 (2024)
Craig Steven Moore, Tim J Wood, John Saunderson, Andrew W Beavis
A comparison of physical image quality of two Hologic digital mammography systems that utilise linear and 2D anti-scatter grids. Biomedical physics & engineering express (2023)
Bozidar Casar, Ignasi Mendez, Eduard Gershkevitsh, Sonja Wegener, David Jaffray, Robert Heaton, Csilla Pesznyak, Gabor Stelczer, Wojciech Bulski, Krzysztof Chełminski, Georgiy Smirnov, Natalia Antipina, Andrew W Beavis, Nicholas Oliver Harding, Slaven Jurković, Min-Sig Hwang, M Saiful Huq
On dosimetric characteristics of detectors for relative dosimetry in small fields: a multicenter experimental study. Physics in medicine and biology (2023)
Nilesh S Tambe, Isabel M Pires, Craig Steven Moore, Andrew Wieczorek, Sunil Upadhyay, Andrew W Beavis
Predicting personalised and progressive adaptive dose escalation to gross tumour volume using knowledge-based planning models for inoperable advanced-stage non-small cell lung cancer patients treated with volumetric modulated arc therapy. Biomedical physics & engineering express 8 (3) (2022)
Chun Li, Lucy Wiseman, Ene Okoh, Michael Lind, Rajarshi Roy, Andrew W Beavis, Isabel M Pires
Exploring hypoxic biology to improve radiotherapy outcomes. Expert reviews in molecular medicine 24 (2022)
Paulo Quintero, David Benoit, Yongqiang Cheng, Craig Steven Moore, Andrew W Beavis
Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images. Physics in medicine and biology 67 (24) (2022)
Nilesh S Tambe, Isabel M Pires, Craig Steven Moore, Andrew Wieczorek, Sunil Upadhyay, Andrew W Beavis
Predicting personalised optimal arc parameter using knowledge-based planning model for inoperable locally advanced lung cancer patients to reduce organ at risk doses. Biomedical physics & engineering express 7 (6) (2021)
Nilesh S Tambe, Isabel M Pires, Craig Steven Moore, Andrew Wieczorek, Sunil Upadhyay, Andrew W Beavis
Validation of in-house knowledge-based planning model for predicting change in target coverage during VMAT radiotherapy to in-operable advanced-stage NSCLC patients. Biomedical physics & engineering express 7 (6) (2021)
Andrew W Beavis
The opportunities of computer simulation training in radiation therapy. Journal of medical radiation sciences 65 (2) (2018)