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Radioligand-Guided Radiation Therapy Planning

International journal of radiation oncology, biology, physics, 2022-07, Vol.113 (4), p.866-867

Beavis, Andrew W.

2022

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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 & biology, 2022-12, Vol.67 (24), p.245001

2022

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Encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs

PeerJ. Computer science, 2024-07, Vol.10, p.e2178, Article e2178

2024

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Measuring the response of human head and neck squamous cell carcinoma to irradiation in a microfluidic model allowing customized therapy

International journal of oncology, 2017-10, Vol.51 (4), p.1227-1238

2017

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On dosimetric characteristics of detectors for relative dosimetry in small fields: a multicenter experimental study

Physics in medicine & biology, 2024-02, Vol.69 (3), p.35009

2024

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Exploring hypoxic biology to improve radiotherapy outcomes

Expert reviews in molecular medicine, 2022-04, Vol.24, p.e21-e21, Article e21

2022

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Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy

British journal of radiology, 2020-02, Vol.93 (1106), p.20190535-20190535

2020

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The opportunities of computer simulation training in radiation therapy

Journal of medical radiation sciences, 2018-06, Vol.65 (2), p.77-79

Beavis, Andrew W.

2018

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Innovation in education: computer simulation in physics training

Journal of physics. Conference series, 2019-08, Vol.1305 (1), p.12057

2019

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Measurement of effective detective quantum efficiency for a photon counting scanning mammography system and comparison with two flat panel full-field digital mammography systems

Physics in medicine & biology, 2018-01, Vol.63 (2), p.025025-025025

2018

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A method to incorporate the effect of beam quality on image noise in a digitally reconstructed radiograph (DRR) based computer simulation for optimisation of digital radiography

Physics in medicine & biology, 2017-09, Vol.62 (18), p.7379-7393

2017

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A comparison of physical image quality of two hologic digital mammography systems that utilise linear and 2D anti-scatter grids

Biomedical physics & engineering express, 2023-09, Vol.9 (5), p.55017

2023

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PI3K inhibition as a novel therapeutic strategy for neoadjuvant chemoradiotherapy resistant oesophageal adenocarcinoma

British journal of radiology, 2021-03, Vol.94 (1119), p.20201191-20201191

2021

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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, 2022-05, Vol.8 (3), p.35001

2022

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Cutting Edge: Cross-Talk Between Cells of the Innate Immune System: NKT Cells Rapidly Activate NK Cells

The Journal of immunology (1950), 1999-11, Vol.163 (9), p.4647-4650

1999

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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, 2021-11, Vol.7 (6), p.65002

2021

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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, 2021-11, Vol.7 (6), p.65016

2021

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The usefulness of large sample size patient dose audits for optimisation of CT automatic exposure control (AEC) settings

Journal of radiological protection, 2019-09, Vol.39 (3), p.938-949

2019

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Accounting for patient size in the optimization of dose and image quality of pelvis cone beam CT protocols on the Varian OBI system

British journal of radiology, 2015-01, Vol.88 (1055), p.20150364-20150364

2015

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Proteomic Identification of Putative Biomarkers of Radiotherapy Resistance: A Possible Role for the 26S Proteasome?

Neoplasia (New York, N.Y.), 2009-11, Vol.11 (11), p.1194-1207

2009

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Palliative Radiotherapy in the Presence of Well-Controlled Metastatic Disease after Initial Chemotherapy May Prolong Survival in Patients with Metastatic Esophageal and Gastric Cancer

Cancer Research and Treatment, 2015, 47(4), , pp.706-717

2015

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The use of a virtual reality simulator to explore and understand the impact of Linac mis-calibrations

Journal of physics. Conference series, 2014-01, Vol.489 (1), p.12086-6

2014

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A Functional Screen for Myc-Responsive Genes Reveals Serine Hydroxymethyltransferase, a Major Source of the One-Carbon Unit for Cell Metabolism

Molecular and Cellular Biology, 2002-08, Vol.22 (16), p.5793-5800

2002

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A practical method to calibrate and optimise automatic exposure control devices for computed radiography (CR) and digital radiography (DR) imaging systems using the signal-to-noise ratio (SNR) metric

Biomedical physics & engineering express, 2019-04, Vol.5 (3), p.35027

2019

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Radioligand-Guided Radiation Therapy Planning

Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images

Encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs

Measuring the response of human head and neck squamous cell carcinoma to irradiation in a microfluidic model allowing customized therapy

On dosimetric characteristics of detectors for relative dosimetry in small fields: a multicenter experimental study

Exploring hypoxic biology to improve radiotherapy outcomes

Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy

The opportunities of computer simulation training in radiation therapy

Innovation in education: computer simulation in physics training

Measurement of effective detective quantum efficiency for a photon counting scanning mammography system and comparison with two flat panel full-field digital mammography systems

A method to incorporate the effect of beam quality on image noise in a digitally reconstructed radiograph (DRR) based computer simulation for optimisation of digital radiography

A comparison of physical image quality of two hologic digital mammography systems that utilise linear and 2D anti-scatter grids

PI3K inhibition as a novel therapeutic strategy for neoadjuvant chemoradiotherapy resistant oesophageal adenocarcinoma

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

Cutting Edge: Cross-Talk Between Cells of the Innate Immune System: NKT Cells Rapidly Activate NK Cells

Validation of in-house knowledge-based planning model for predicting change in target coverage during VMAT radiotherapy to in-operable advanced-stage NSCLC patients

The updated ESTRO core curricula 2011 for clinicians, medical physicists and RTTs in radiotherapy/radiation oncology

Predicting personalised optimal arc parameter using knowledge-based planning model for inoperable locally advanced lung cancer patients to reduce organ at risk doses

The usefulness of large sample size patient dose audits for optimisation of CT automatic exposure control (AEC) settings

Accounting for patient size in the optimization of dose and image quality of pelvis cone beam CT protocols on the Varian OBI system

Proteomic Identification of Putative Biomarkers of Radiotherapy Resistance: A Possible Role for the 26S Proteasome?

Palliative Radiotherapy in the Presence of Well-Controlled Metastatic Disease after Initial Chemotherapy May Prolong Survival in Patients with Metastatic Esophageal and Gastric Cancer

The use of a virtual reality simulator to explore and understand the impact of Linac mis-calibrations

A Functional Screen for Myc-Responsive Genes Reveals Serine Hydroxymethyltransferase, a Major Source of the One-Carbon Unit for Cell Metabolism

A practical method to calibrate and optimise automatic exposure control devices for computed radiography (CR) and digital radiography (DR) imaging systems using the signal-to-noise ratio (SNR) metric

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