Photo of Dr Bryan Williams

Dr Bryan Williams BSc, MSc, PhD

Research Associate Eye and Vision Science

Publications

2020

An Artificial Intelligence-Based Deep Learning Algorithm for the Diagnosis of Diabetic Neuropathy Using Corneal Confocal Microscopy: A Development and Validation Study (Journal article)

Williams, B., Borroni, D., Liu, R., Zhao, Y., Zhang, J., Lim, J., . . . Zheng, Y. (2020). An Artificial Intelligence-Based Deep Learning Algorithm for the Diagnosis of Diabetic NeuropathyUsing Corneal Confocal Microscopy: A Development and Validation Study. Diabetologia, 63, 419-430. doi:10.1007/s00125-019-05023-4

DOI: 10.1007/s00125-019-05023-4

A novel deep learning based OCTA de-striping method (Conference Paper)

Gao, D., Celik, N., wu, X., Williams, B., Stylianides, A., & Zheng, Y. (2020). A novel deep learning based OCTA de-striping method.

Joint Destriping and Segmentation of OCTA Images (Conference Paper)

Wu, X., Gao, D., Williams, B. M., Stylianides, A., Zheng, Y., & Jin, Z. (2020). Joint Destriping and Segmentation of OCTA Images. In Unknown Conference (pp. 423-435). Springer International Publishing. doi:10.1007/978-3-030-39343-4_36

DOI: 10.1007/978-3-030-39343-4_36

2019

Learning Active Contour Models for Medical Image Segmentation (Conference Paper)

Chen, X., Williams, B. M., Vallabhaneni, S. R., Czanner, G., Williams, R., & Zheng, Y. (2019). Learning Active Contour Models for Medical Image Segmentation. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 11624-11632). Long Beach, CA, USA: IEEE. doi:10.1109/cvpr.2019.01190

DOI: 10.1109/cvpr.2019.01190

Sub-surface imaging of soiled cotton fabric using full-field optical coherence tomography (Journal article)

Shen, Y. (2019). Sub-surface imaging of soiled cotton fabric using full-field optical coherence tomography. Optics Express.

Differentiating Generic versus Branded Pharmaceutical Tablets Using Ultra-High-Resolution Optical Coherence Tomography (Journal article)

Zhang, Z., Williams, B., Zheng, Y., Lin, H., & Shen, Y. (2019). Differentiating Generic versus Branded Pharmaceutical Tablets Using Ultra-High-Resolution Optical Coherence Tomography. COATINGS, 9(5). doi:10.3390/coatings9050326

DOI: 10.3390/coatings9050326

LEARNING THE FEATURES OF DIABETIC RETINOPATHY WITH CONVOLUTIONAL NEURAL NETWORKS (Conference Paper)

Pratt, H., Williams, B. M., Broadbent, D., Harding, S. P., Coenen, F., & Zheng, Y. (2019). LEARNING THE FEATURES OF DIABETIC RETINOPATHY WITH CONVOLUTIONAL NEURAL NETWORKS. In EUROPEAN JOURNAL OF OPHTHALMOLOGY Vol. 29 (pp. NP15-NP16). Retrieved from http://gateway.webofknowledge.com/

Fully Convolutional Segmentation of Corneal Limbus and Foveal Blood Vessels in Fluorescein Angiography (Poster)

Zheng, Y., Yao, H., Shen, Y., Zhao, Y., & Williams, B. M. (2019). Fully Convolutional Segmentation of Corneal Limbus and Foveal Blood Vessels in Fluorescein Angiography. Poster session presented at the meeting of ARVO. Vancouver.

In-vivo evaluation of corneal collagen fibrils pattern to detect keratoconus (Poster)

Romano, V., Borroni, D., Geraghty, B., Lipari, E., Sborgia, A., Zheng, Y., . . . Williams, B. (2019). In-vivo evaluation of corneal collagen fibrils pattern to detect keratoconus. Poster session presented at the meeting of Unknown Conference. Retrieved from http://gateway.webofknowledge.com/

Fully Automatic Localisation of the Optic Disc Using YOLO in Colour Fundus Photographs (Poster)

Zheng, Y., Zhao, Y., Chen, X., Gao, D., Bridge, J., Zhu, W., & Williams, B. M. (2019). Fully Automatic Localisation of the Optic Disc Using YOLO in Colour Fundus Photographs. Poster session presented at the meeting of ARVO ISIE. Vancouver.

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (vol 14, e0209409, 2019) (Journal article)

MacCormick, I. J. C., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., . . . Czanner, G. (2019). Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (vol 14, e0209409, 2019). PLOS ONE, 14(4). doi:10.1371/journal.pone.0215056

DOI: 10.1371/journal.pone.0215056

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (Journal article)

MacCormick, I. J. C., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., . . . Czanner, G. (2019). Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile. PLOS ONE, 14(1). doi:10.1371/journal.pone.0209409

DOI: 10.1371/journal.pone.0209409

DMEK versus DSAEK for Fuchs' endothelial dystrophy: A meta-analysis. (Journal article)

Marques, R. E., Guerra, P. S., Sousa, D. C., Gonçalves, A. I., Quintas, A. M., & Rodrigues, W. (2019). DMEK versus DSAEK for Fuchs' endothelial dystrophy: A meta-analysis.. European journal of ophthalmology, 29(1), 15-22. doi:10.1177/1120672118757431

DOI: 10.1177/1120672118757431

2018

Improving the Resolution of Retinal OCT with Deep Learning (Conference Paper)

Xu, Y., Williams, B. M., Al-Bander, B., Yan, Z., Shen, Y., & Zheng, Y. (2018). Improving the Resolution of Retinal OCT with Deep Learning. In Medical Image Understanding and Analysis. Southampton.

Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral (Journal article)

Coenen, F. P., Pratt, H., Zheng, Y., Harding, S., Williams, B., & Broadbent, D. (2018). Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral. European Journal of Ophthalmology.

Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis (Journal article)

Al-Bander, B., Williams, B. M., Al-Nuaimy, W., Al-Taee, M., Pratt, H., & Zheng, Y. (2018). Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis. Symmetry, 10(4). doi:10.3390/sym10040087

DOI: 10.3390/sym10040087

Supercontinuum ultra-high resolution line-field OCT; experimental spectrograph comparison and comparison with current clinical OCT systems by the imaging of a human cornea (Conference Paper)

Lawman, S., Romano, V., Madden, P. W., Mason, S., Williams, B. M., Zheng, Y., & Shen, Y. -C. (2018). Supercontinuum ultra-high resolution line-field OCT; experimental spectrograph comparison and comparison with current clinical OCT systems by the imaging of a human cornea. In 2ND CANTERBURY CONFERENCE ON OCT WITH EMPHASIS ON BROADBAND OPTICAL SOURCES Vol. 10591. The University of Kent, UK. doi:10.1117/12.2286159

DOI: 10.1117/12.2286159

Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography (Journal article)

Brunner, M., Romano, V., Steger, B., Vinciguerra, R., Lawman, S., Williams, B., . . . Kaye, S. B. (2018). Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 59(3), 1263-1269. doi:10.1167/iovs.17-22035

DOI: 10.1167/iovs.17-22035

A Novel Choroid Segmentation Method for Retinal Diagnosis Using Deep Learning (Conference Paper)

Al-Bander, B., Williams, B. M., Al-Taee, M., Al-Nuaimy, W., & Zheng, Y. (2018). A Novel Choroid Segmentation Method for Retinal Diagnosis Using Deep Learning. In Developments in E-Systems Engineering (DeSE). Paris.

Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc (Journal article)

Al-Bander, B., Al-Nuaimy, W., Williams, B. M., & Zheng, Y. (2018). Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 40, 91-101. doi:10.1016/j.bspc.2017.09.008

DOI: 10.1016/j.bspc.2017.09.008

Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography (Journal article)

Pratt, H., Williams, B., Ku, J., Vas, C., McCann, E., Al-Bander, B., . . . Zheng, Y. (n.d.). Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. Journal of Imaging, 4(1), 4. doi:10.3390/jimaging4010004

DOI: 10.3390/jimaging4010004

2017

FCNNs: Fourier Convolutional Neural Networks (Conference Paper)

Pratt, H., Williams, B. M., Coenen, F. P., & Zheng, Y. (2017). FCNNs: Fourier Convolutional Neural Networks. In MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017 Vol. 10534 (pp. 786-798). doi:10.1007/978-3-319-71249-9_47

DOI: 10.1007/978-3-319-71249-9_47

Deformation velocity imaging using optical coherence tomography and its applications to the cornea (Journal article)

Lawman, S., Madden, P. W., Romano, V., Dong, Y., Mason, S., Williams, B., . . . Zheng, Y. (2017). Deformation velocity imaging using optical coherence tomography and its applications to the cornea. Biomedical Optics Express, 8(12), 5579-5593. doi:10.1364/BOE.8.005579

DOI: 10.1364/BOE.8.005579

Fast blur detection and parametric deconvolution of retinal fundus images (Conference Paper)

Williams, B. M., Al-Bander, B., Pratt, H., Lawman, S., Zhao, Y., Zheng, Y., & Shen, Y. (2017). Fast blur detection and parametric deconvolution of retinal fundus images. In MICCAI - Ophthalmic Medical Image Analysis 4. Quebec. doi:10.1007/978-3-319-67561-9_22

DOI: 10.1007/978-3-319-67561-9_22

Non-destructive Analysis of Flake Properties in Automotive Paints with Full-field Optical Coherence Tomography and 3D Segmentation (Journal article)

Zhang, J., Williams, B. M., Lawman, S., Atkinson, D., Zhang, Z., Shen, Y. C., & Zheng, Y. (2017). Non-destructive Analysis of Flake Properties in Automotive Paints with Full-field Optical Coherence Tomography and 3D Segmentation. Optics Express, 25(16), 18614-18628. doi:10.1364/OE.25.018614

DOI: 10.1364/OE.25.018614

Applications of optical coherence tomography in the non-contact assessment of automotive paints (Conference Paper)

Lawman., Zhang, J., williams, B. M., zheng, Y., & shen, Y. (2017). Applications of optical coherence tomography in the non-contact assessment of automotive paints. In Proceedings of SPIE - The International Society for Optical Engineering. Munich, Germany.

Automatic detection and identification of retinal vessel junctions in colour fundus photography (Conference Paper)

Pratt, H., Williams, B. M., Ku, J., Coenen, F., & Zheng, Y. (2017). Automatic detection and identification of retinal vessel junctions in colour fundus photography. In Medical Image Understanding and Analysis (MIUA). Edinburgh.

Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning (Presentation material)

Zheng, Y., Williams, B. M., Pratt, H., Al-Bander, B., Wu, X., & Zhao, Y. (2017). Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning. Retrieved from http://gateway.webofknowledge.com/

Automatic Segmentation of the Choroid in EDI-OCT Images using Clustering and Deep Learning (Poster)

Zheng, Y., Al-Bander, B., & Williams, B. M. (2017). Automatic Segmentation of the Choroid in EDI-OCT Images using Clustering and Deep Learning. Poster session presented at the meeting of ARVO 2017 ISIE. Baltimore.

Optical Interferometry Apparatus and Method (Patent)

Lawman., Shen, Y. C., Zheng, Y., & Williams, B. M. (2017, April 3). PCT/GB2017/050934, Optical Interferometry Apparatus and Method. PCT.

Measurement of the Intertablet Coating Uniformity of a Pharmaceutical Pan Coating Process With Combined Terahertz and Optical Coherence Tomography In-Line Sensing (Journal article)

Lin, H., Dong, Y., Markl, D., Williams, B. M., Zheng, Y., Shen, Y., & Zeitler, J. A. (2017). Measurement of the Intertablet Coating Uniformity of a Pharmaceutical Pan Coating Process With Combined Terahertz and Optical Coherence Tomography In-Line Sensing. JOURNAL OF PHARMACEUTICAL SCIENCES, 106(4), 1075-1084. doi:10.1016/j.xphs.2016.12.012

DOI: 10.1016/j.xphs.2016.12.012

Scan-Less Line Field Optical Coherence Tomography, with Automatic Image Segmentation, as a Measurement Tool for Automotive Coatings (Journal article)

Lawman, S., Williams, B. M., Zhang, J., Shen, Y. -C., & Zheng, Y. (2017). Scan-Less Line Field Optical Coherence Tomography, with Automatic Image Segmentation, as a Measurement Tool for Automotive Coatings. APPLIED SCIENCES-BASEL, 7(4). doi:10.3390/app7040351

DOI: 10.3390/app7040351

2016

Studying the Pharmaceutical Film Coating Process with Terahertz Sensing, Optical Coherence Tomography and Numerical Modelling (Conference Paper)

Lin, H., Dong, Y., Pei, C., Williams, B. M., Markl, D., Zheng, Y., . . . IEEE. (2016). Studying the Pharmaceutical Film Coating Process with Terahertz Sensing, Optical Coherence Tomography and Numerical Modelling. In 2016 41ST INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES (IRMMW-THZ). Retrieved from http://gateway.webofknowledge.com/

Diabetic Macular Edema Grading based on Deep Neural Networks (Conference Paper)

Al-Bander, B., Al-Nuaimy, W., Al-Taee, M., Williams, B. M., & Zheng, Y. (2016). Diabetic Macular Edema Grading based on Deep Neural Networks. In 3rd MICCAI Workshop on Ophthalmic Image Analysis (OMIA-3). Athens.

Building a New Full-field Optical Coherence Tomography (FF-OCT) for Measuring the Shape and Power of the Corneal Surface (Poster)

Zhang, J., Williams, B. M., Shen, Y., Kaye, S., & Zheng, Y. (2016). Building a New Full-field Optical Coherence Tomography (FF-OCT) for Measuring the Shape and Power of the Corneal Surface. Poster session presented at the meeting of MRC Festival of Medical Research. University of Liverpool.

High Resolution Corneal and Single Pulse Imaging with Line Field Spectral Domain Optical Coherence Tomography (Journal article)

Lawman, S., Dong, Y., Williams, B. M., Romano, V., Kaye, S., Harding, S. P., . . . Zheng, Y. (2016). High Resolution Corneal and Single Pulse Imaging with Line Field Spectral Domain Optical Coherence Tomography. Optics Express, 24(11), 12395-12405. doi:10.1364/OE.24.012395

DOI: 10.1364/OE.24.012395

Centre for Mathematical Imaging Techniques: Aiming to get more out of a single image (Presentation material)

Williams, B. M. (2016). Centre for Mathematical Imaging Techniques: Aiming to get more out of a single image. University of Liverpool.

Total Fractional-Order Variation Regularisation and its Applications (Presentation material)

Chen, K., Zhang, J., & Williams, B. M. (2016). Total Fractional-Order Variation Regularisation and its Applications.

A new image deconvolution method with fractional regularisation (Journal article)

Williams, B. M., Zhang, J., & Chen, K. (2016). A new image deconvolution method with fractional regularisation. Journal of Algorithms & Computational Technology, 10(4), 265-276. doi:10.1177/1748301816660439

DOI: 10.1177/1748301816660439

An effective variational model for simultaneous reconstruction and segmentation of blurred images (Journal article)

Williams, B. M., Spencer, J. A., Chen, K., Zheng, Y., & Harding, S. (2016). An effective variational model for simultaneous reconstruction and segmentation of blurred images. Journal of Algorithms & Computational Technology, 10(4), 244-264. doi:10.1177/1748301816660406

DOI: 10.1177/1748301816660406

2015

On some refined variational models for restoration of blurred images (Presentation material)

Chen, K., Williams, B. M., & Zhang, J. (2015). On some refined variational models for restoration of blurred images. International Congress on Industrial and Applied Mathematics (ICIAM).

A New Method of Blind Deconvolution for Colour Fundus Retinal Images (Conference Paper)

Williams, B. M., Chen, K., Harding, S., & Zheng, Y. (2015). A New Method of Blind Deconvolution for Colour Fundus Retinal Images. In 2nd MICCAI Workshop on Ophthalmic Image Analysis (OMIA-2).

Retinal Fundus Image Deconvolution (Poster)

Williams, B. M., Zheng, Y., Chen, K., & Harding, S. (2015). Retinal Fundus Image Deconvolution. Poster session presented at the meeting of Mathematical Imaging with Biomedical Applications Workshop. CMIT, University of Liverpool.

A new constrained total variational deblurring model and its fast algorithm (Journal article)

Williams, B. M., Chen, K., & Harding, S. P. (2015). A new constrained total variational deblurring model and its fast algorithm. NUMERICAL ALGORITHMS, 69(2), 415-441. doi:10.1007/s11075-014-9904-2

DOI: 10.1007/s11075-014-9904-2

A New Study of Blind Deconvolution with Implicit Incorporation of Nonnegativity Constraints (Journal article)

Chen, K., Harding, S. P., Williams, B. M., & Zheng, Y. (2015). A New Study of Blind Deconvolution with Implicit Incorporation of Nonnegativity Constraints. International Journal of Computational Mathematics, 2015, 1-17. doi:10.1155/2015/860263

DOI: 10.1155/2015/860263

2014

Variational models and algorithms for blind image deconvolution with applications (Thesis / Dissertation)

Williams, B. (2014). Variational models and algorithms for blind image deconvolution with applications. (PhD Thesis, University of Liverpool).

Image Deconvolution Techniques (Poster)

Williams, B. M., & Chen, K. (2014). Image Deconvolution Techniques. Poster session presented at the meeting of LMS Inverse Problems Meeting - Tomographic Reconstructions from Boundadry Data. University of Leeds.

2013

Mathematical deblurring of images for non-blind and blind restoration (Conference Paper)

Williams, B. M., Chen, K., Zheng, Y., & Harding, S. P. (2013). Mathematical deblurring of images for non-blind and blind restoration. In 25th Biennial Numerical Analysis Conference. University of Strathclyde.

Recent Advances in Image Processing (Presentation material)

Williams, B. M. (2013). Recent Advances in Image Processing. University of Liverpool.

CMIT Work in Image Analysis (Presentation material)

Williams, B. M. (2013). CMIT Work in Image Analysis. University of Liverpool.

2012

Advanced mathematical methods for medical image enhancement (Presentation material)

Williams, B. M., Chen, K., Zheng, Y., & Harding, S. P. (2012). Advanced mathematical methods for medical image enhancement. University of Liverpool.

A blind deconvolution model for images corrupted by gaussian blur (Conference Paper)

Williams, B. M., Chen, K., Zheng, Y., & Harding, S. P. (2012). A blind deconvolution model for images corrupted by gaussian blur. In Essex-Greenwich-Hertfordshire Workshop on Applied and Numerical Mathematics - Multiscale Problems. University of Greenwich.

Mathematical Methods for Blind Image Deblurring (Poster)

Williams, B. M. (2012). Mathematical Methods for Blind Image Deblurring. Poster session presented at the meeting of BMVA/ EPSRC Computer Vision Summer School. University of Manchester.

Advanced blur removal methods with applications to retinal imaging for ophthalmology (Conference Paper)

Williams, B. M., chen, K., zheng, Y., & Harding, S. (2012, July 9). Advanced blur removal methods with applications to retinal imaging for ophthalmology. In Medical Image Understanding and Analysis. Swansea University.

Mathematical methods for blind image deblurring (Conference Paper)

Williams, B. M., Chen, K., Zheng, Y., & Harding, S. P. (2012). Mathematical methods for blind image deblurring. In DITANET Symposium: Quantum Systems and Research(ers) at Accelerators.

2011

Mathematical methods and algorithms for restoring retinal images with blur and blind blur (Conference Paper)

Williams, B. M., Chen, K., Zheng, Y., & Harding, S. P. (2011). Mathematical methods and algorithms for restoring retinal images with blur and blind blur. In Ophthalmology Image Analysis Workshop. University of Liverpool.

2008

Trigonometric Diophantine Equations (Thesis / Dissertation)

Williams, B. M. (2008, September 5). Trigonometric Diophantine Equations.