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PERFORMS Evidence

The relationship between mammography readers real-life performance and performance in a test-set based assessment scheme in a national breast screening programme
Further analysis using Bland-Altman plots (in press)
Chen Y., James J.J., Cornford E.J. & Jenkins J
Relationship Between Mammography Readers Real-life Performance and Performance in a Test-set Based Assessment Scheme in a National Breast Screening Programme
Radiology: Imaging Cancer, 2(5):e200016
Chen Y., James J.J., Cornford E.J. & Jenkins J
A review of the PERFORMS scheme in breast screening
The British journal of Radiology, 93:1112
Gale A.G. & Chen Y.
Role of vacuum assisted excision in minimising overtreatment of ductal atypias.
European Journal of Radiology, PMID: 32919262
McMahon M.A., Haigh I., Chen Y., Millican-Slater R.A., Sharma N.
The Potential Impact of Digital Breast Tomosynthesis on the Benign Biopsy Rate in Women Recalled within the UK Breast Screening Programme
Radiology. 29(2), 310-317
Sharma N., McMahon M., Chen Y. & Dall J.
The wearable augmented reality (AR) approach to support mammographic training: hololens for screening training
Medical Imaging 2019: Image Informatics for Healthcare, Research. and Applications, Proc. SPIE 10954
Tang Q., Chen Y., Schaefer G. & Gale A.G.
The development of an augmented reality (AR) approach to mammographic training, overcoming some real-world challenges
In Fei B. & Webster R.J. (Eds). Medical Imaging 2018: Image -Guided Procedures, Robotic Interventions, and Modeling, Proc. SPIE 10576
Tang Q., Chen Y., Schaefer G. & Gale A.G.
The relationship between breast screening readers’ real-life performance and their associated performance on the PERFORMS scheme
In Sahiner B. & Manning J. (Eds). Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Proc. SPIE 10952
Chen Y., Dong L., Cornford E.J. & Jenkins J.
Medical Image Encryption using Chaotic Map Improved Advanced Encryption Standard
International Journal of Information Technologyand Computer Science, 10(8)
Bhogal R.S., Li B., Gale A.G. & Chen Y.
Liver vessel segmentation based on centreline constraint and intensity model
Biomedical Sigmal Processing and Control, 45
Zeng Y.Z., Zhao Y.Q., Liao S.H., Liao M., Chen Y. & Liu X.
Initial investigation of reading efficiency from experienced radiologists interpreting digital breast tomosynthesis (DBT) images
Symposium Mammographicum, Meeting Abstracts
Dong L., Chen Y. & Gale A.G.
The Value of Contrast Enhanced Spectral Mammography (CESM) in the Assessment of Lobular Breast Cancer
Symposium Mammographicum, Meeting Abstracts
Stanton R., Photiou D., Jethwa K., Chen Y., Whisker L. & Tennant S.
Evaluation of a computer-aided detection (CAD)-enhanced 2D synthetic mammogram: comparison with standard synthetic 2D mammograms and conventional 2D digital mammography
Clinical Radiology 73:886-892
James JJ, Giannotti E, Chen Y
Automatic liver vessel segmentation using 3D region growing and hybrid active contour model
Computers in Biology and Medicine, 97
Chen Y., Zeng Y.Z., Liao S.H., Tang P., Zhao Y.Q., Liao M. & Liang Y.X.
Discriminative and robust zero-watermarking scheme based on completed local binary pattern for authentication and copyright identification of medical images
In Sahiner B. & Manning J. (Eds). Medical Imaging 2018: Image Informatics for Healthcare, Research. and Applications, Proc. SPIE 10579
Liu X., Lou J., Wang Y., Du J., Zou B. & Chen Y.
Analysis of visual search behaviour from experienced radiologists interpreting digital breast tomosynthesis (DBT) images, a pilot study
In Nishikawa R.M. & Samuelson F.W. (Eds). mage Perception, Observer Performance, and Technology Assessment, Proc. SPIE 10577
Dong L., Chen Y., Gale A.G., Tang Q., Liu X. & Bernardi D.
Is there a difference in reading time when normal and abnormal DBT cases are examined by DBT experienced radiologists?
Breast Cancer Research, 19(Suppl 1)
Dong L., Bernadi D., Tang Q., Gale A.G., Liu X. & Chen Y.
DBT interpretation training – findings from analysis of expert visual search behaviour
In Kupinski M.A. & Nishikawa R.M. (Eds). Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, Proc. SPIE 10136
Dong L., Chen Y., Gale A.G. & Bernardi D.
How quickly do breast screeners learn their skills?
In Kupinski M.A. & Nishikawa R.M. (Eds). Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, Proc. SPIE 10136
Nevisi H., Chen Y., Dong L. & Gale A.G.
Exploring the potential of analysing visual search behaviour data using FROC (free-response receiver operating characteristic) method, an initial study
In Kupinski M.A. & Nishikawa R.M. (Eds). Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, Proc. SPIE 10136
Dong L., Chen Y. & Gale A.G.