Clinical papers
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- ECR 2020 – Phantom Classification Abstract Submitted version
- ECR 2020 – Patient feedback on a Novel radiowave breast imaging system – Abstract
- EECR 2020 Abstract Submission #14066_ Microwave imaging breast cancer detection_ A multi-centre study.
- Machine learning methods for tissue classification of breast lesions from a radio-wave response. Trushali Doshi, Chris Bore, David Gibbins and Louis Tsui
- M. Shere, I. Lyburn, R. Sidebottom, H. Massey, C. Gillett, L. Jones. MARIA® M5: A multicentre clinical study to evaluate the ability of the Micrima radio-wave radar breast imaging system (MARIA®) to detect lesions
in the symptomatic breast. European Journal of Radiology 2019 - R. Sidebottom,D Webb, B Bishop, C Gillett and S Allen Launch of the LIESL Trial-London investigation into DiElectric Scanning of Lesions. A review of early cases and lessons learnt from the set up and initiation of this trial using novel radio-wave imaging technology MARIA®
- T Doshi, I Lyburn, R Sidebottom and D gibbins Radio-wave imaging- Frequency responses as an aid to lesion characterization. Early concept work Symposium Mammographicum 2018
- I Lyburn, D Gibbins, N Ridley, M Schoenleber-Lewis Detection of breast cancer in the symptomatic clinic using radio-wave technology- A multi-centre study Symposium Mammographicum 2018
- A. Iriarte, G.de vargas, C. Bore, P. Bannister, L. Tsui, D Gibbins, Estimation of breast density using radio wave radar imaging techniques ECR 2018
- P Bannister, I D Lyburn, L Hobson; H L Massey, M Schoenleber-Lewis, M Shere. A reader study of MARIA radio-wave breast imaging compared with x-ray mammography for the symptomatic breast RSNA 2017
- I. Lyburn, R. Geach, L. Hobson, L. Jones, H. Massey, N. Ridley, M. Schoenleber-Lewis, S. Taylor, P. Bannister, M. Shere.Multi-centre Symptomatic Assessment of a Radio-wave Breast Imaging System EUSOBI 2017
- Radio-wave detection of breast cancer in the symptomatic clinic- a multi-centre study International Cambridge conference on breast cancer imaging 2017
- Radio-wave detection of breast cancer using pulse-synchronized imaging International Cambridge conference on breast cancer imaging 2017
- Cancer detection in dense tissue using radiofrequency imaging: a clinical evaluation. Proceedings. Ridley N, Shere M, Lyburn I, Bannister P. ECR 2017 (Selected for enhanced oral presentation)
- Automatic labelling of lesions using radiofrequency feature discrimination. Ridley N, Iriarte A, Tsui L, Bore C, Shere M, Lyburn I, Bannister P. ECR 2017.
- Dr P Bannister-BSBR presentation
- Radar Imaging of Breast Lesions – a clinical evaluation and comparison. Shere M, Preece AW, Craddock I, Jones L, Valencia A. Proceedings ECR 2016 (Selected for enhanced oral presentation)
- Preece AW, Craddock IJ, Shere MH, Jones LIL, Winton HL. ‘MARIA M4: clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection’. Journal of Medical Imaging,2016, vol 3. (5th most downloaded JMI paper in 2016)
- Shere M, Jones L, Lyburn I, Geach R, Massey H, Hobson L, Taylor S, P. Bannister P, Ridley N. Radio-wave radar-based breast imaging system: an initial multi-site clinical evaluation. Proceedings Symposium Mammographicum, 2016 (Best Poster prize)
- M. Shere, A. W. Preece, I. Craddock, L. Jones, A. Valencia. Radar imaging of breast lesions – a clinical evaluation and comparison ECR 2016
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