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Coenen, FP ORCID: 0000-0003-1026-6649, Pratt, H, Zheng, Y ORCID: 0000-0002-7873-0922, Harding, S ORCID: 0000-0003-4676-1158, Williams, B ORCID: 0000-0001-5930-287X and Broadbent, D (2018) Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral. European Journal of Ophthalmology.

Pratt, H, Williams, BM ORCID: 0000-0001-5930-287X, Ku, J, Coenen, F ORCID: 0000-0003-1026-6649 and Zheng, Y ORCID: 0000-0002-7873-0922 (2017) Automatic detection and identification of retinal vessel junctions in colour fundus photography. In: Medical Image Understanding and Analysis (MIUA), 2017-7-11 - 2017-7-13, Edinburgh.

Pratt, H (2019) Deep Learning for Diabetic Retinopathy Diagnosis & Analysis. PhD thesis, University of Liverpool.

Al-Bander, B, Williams, BM ORCID: 0000-0001-5930-287X, Al-Nuaimy, Waleed ORCID: 0000-0001-8927-2368, Al-Taee, M ORCID: 0000-0002-3252-3637, Pratt, H and Zheng, Y ORCID: 0000-0002-7873-0922 (2018) Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis. Symmetry, 10 (4). p. 87.

Pratt, H, Williams, BM ORCID: 0000-0001-5930-287X, Coenen, FP ORCID: 0000-0003-1026-6649 and Zheng, Y ORCID: 0000-0002-7873-0922 (2017) FCNNs: Fourier Convolutional Neural Networks. In: ECML-PKDD 2017.

Williams, BM ORCID: 0000-0001-5930-287X, Al-Bander, B, Pratt, H, Lawman, S, Zhao, Y, Zheng, Y ORCID: 0000-0002-7873-0922 and Shen, Y ORCID: 0000-0002-8915-1993 (2017) Fast blur detection and parametric deconvolution of retinal fundus images. In: MICCAI - Ophthalmic Medical Image Analysis 4, 2017-9-10 - 2017-9-14, Quebec.

Pratt, H, Coenen, F ORCID: 0000-0003-1026-6649, Harding, SP ORCID: 0000-0003-4676-1158, Broadbent, DM and Zheng, Y ORCID: 0000-0002-7873-0922 (2019) Feature visualisation of classification of diabetic retinopathy using a convolutional neural network. .

Hassanin, K, Pratt, H, Zheng, Y ORCID: 0000-0002-7873-0922, Czanner, G, Hamill, K ORCID: 0000-0002-7852-1944 and McCormick, A (2017) Ultraviolet imaging reveals that areas on the face that are prone to skin cancer are disproportionately missed during sunscreen application. .