Photo of Dr Yalin Zheng

Dr Yalin Zheng Ph.D.

Reader in Ophthalmic Imaging Eye and Vision Science

Publications

2020

Development and validation of a novel prognostic model for predicting AMD progression using longitudinal fundus images (Journal article)

Bridge, J., Harding, S., & Zheng, Y. (2020). Development and validation of a novel prognostic model for predicting AMD progression using longitudinal fundus images. BMJ Open Ophthalmology, 5(1), e000569. doi:10.1136/bmjophth-2020-000569

DOI: 10.1136/bmjophth-2020-000569

Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections (Journal article)

Zhang, H., Kalirai, H., Acha-Sagredo, A., Yang, X., Zheng, Y., & Coupland, S. E. (2020). Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections. Translational Vision Science & Technology, 9(2). doi:10.1167/tvst.9.2.50

DOI: 10.1167/tvst.9.2.50

Corneal nerve tortuosity grading via ordered weighted averaging-based feature extraction (Journal article)

Su, P., Chen, T., Xie, J., Zheng, Y., Qi, H., Borroni, D., . . . Liu, J. (2020). Corneal nerve tortuosity grading via ordered weighted averaging-based feature extraction. Medical Physics. doi:10.1002/mp.14431

DOI: 10.1002/mp.14431

Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models (Journal article)

Bridge, J., Meng, Y., Zhao, Y., Du, Y., Zhao, M., Sun, R., & Zheng, Y. (2020). Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models. IEEE Journal of Biomedical and Health Informatics, 24(10), 2776-2786. doi:10.1109/jbhi.2020.3012383

DOI: 10.1109/jbhi.2020.3012383

Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model (Journal article)

Zhu, W., Ku, J. Y., Zheng, Y., Knox, P. C., Kolamunnage-Dona, R., & Czanner, G. (n.d.). Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model. Journal of Imaging, 6(6), 44. doi:10.3390/jimaging6060044

DOI: 10.3390/jimaging6060044

Corneal confocal microscopy and not optical coherence tomography detects progressive worsening of neuropathy in Type 1 Diabetes (Conference Paper)

Akil, H., Lim, J., Gao, D., Burgess, J., Stylianides, A., Ooi, C., . . . Alam, U. (2020). Corneal confocal microscopy and not optical coherence tomography detects progressive worsening of neuropathy in Type 1 Diabetes. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 61. Retrieved from http://gateway.webofknowledge.com/

Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD) (Conference Paper)

Maunz, A., Benmansour, F., Li, Y., Albrecht, T., Zhang, Y. -P., Arcadu, F., . . . Sahni, J. (2020). Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD). In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 61. Retrieved from http://gateway.webofknowledge.com/

Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications. (Journal article)

Zhu, W., Kolamunnage-Dona, R., Zheng, Y., Harding, S., & Czanner, G. (2020). Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications.. BMJ open ophthalmology, 5(1), e000479. doi:10.1136/bmjophth-2020-000479

DOI: 10.1136/bmjophth-2020-000479

Cooperative low-rank models for removing stripe noise from OCTA images (Journal article)

Wu, X., Gao, D., Borroni, D., Madhusudhan, S., Jin, Z., & Zheng, Y. (2020). Cooperative low-rank models for removing stripe noise from OCTA images. IEEE Journal of Biomedical and Health Informatics, 1. doi:10.1109/jbhi.2020.2997381

DOI: 10.1109/jbhi.2020.2997381

Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy (Journal article)

Zhao, Y., Liu, J., Liu, Y., Zhang, J., Pereira, E., Zheng, Y., . . . Qi, H. (2020). Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy. IEEE Transactions on Medical Imaging, 1. doi:10.1109/tmi.2020.2974499

DOI: 10.1109/tmi.2020.2974499

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

Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering (Journal article)

Zhao, Y., Xie, J., Zhang, H., Zheng, Y., Zhao, Y., Qi, H., . . . Liu, Y. (2020). Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering. IEEE Transactions on Medical Imaging, 39(2), 341-356. doi:10.1109/TMI.2019.2926492

DOI: 10.1109/TMI.2019.2926492

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.

Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor (Conference Paper)

Zhao, K., Zhang, H., Zhao, Y., Xie, J., Zheng, Y., Borroni, D., . . . Liu, J. (2020). Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor. In Unknown Conference (pp. 459-469). Springer International Publishing. doi:10.1007/978-3-030-39343-4_39

DOI: 10.1007/978-3-030-39343-4_39

DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images (Conference Paper)

Bridge, J., Harding, S. P., & Zheng, Y. (2020). DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images. In Unknown Conference (pp. 489-496). Springer International Publishing. doi:10.1007/978-3-030-39343-4_42

DOI: 10.1007/978-3-030-39343-4_42

Improving Fetal Head Contour Detection by Object Localisation with Deep Learning (Conference Paper)

Al-Bander, B., Alzahrani, T., Alzahrani, S., Williams, B. M., & Zheng, Y. (2020). Improving Fetal Head Contour Detection by Object Localisation with Deep Learning. In Unknown Conference (pp. 142-150). Springer International Publishing. doi:10.1007/978-3-030-39343-4_12

DOI: 10.1007/978-3-030-39343-4_12

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

Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering (Conference Paper)

Xie, J., Zhao, Y., Liu, Y., Su, P., Zhao, Y., Cheng, J., . . . Liu, J. (2020). Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. doi:10.1109/cvpr.2019.00870

DOI: 10.1109/cvpr.2019.00870

Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data (Journal article)

Celik, N., O’Brien, F., Brennan, S., Rainbow, R. D., Dart, C., Zheng, Y., . . . Barrett-Jolley, R. (2020). Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. Communications Biology, 3, 1-10. doi:10.1038/s42003-019-0729-3

DOI: 10.1038/s42003-019-0729-3

AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy (Conference Paper)

Chen, X., Leak, M., Harding, S. P., & Zheng, Y. (2020). AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy. In Unknown Conference (pp. 439-449). Springer International Publishing. doi:10.1007/978-3-030-39343-4_37

DOI: 10.1007/978-3-030-39343-4_37

CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation (Conference Paper)

Meng, Y., Wei, M., Gao, D., Zhao, Y., Yang, X., Huang, X., & Zheng, Y. (2020). CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation. In Unknown Conference (pp. 352-362). Springer International Publishing. doi:10.1007/978-3-030-59719-1_35

DOI: 10.1007/978-3-030-59719-1_35

Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images (Conference Paper)

Xie, J., Liu, Y., Zheng, Y., Su, P., Hu, Y., Yang, J., . . . Zhao, Y. (2020). Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images. In Unknown Conference (pp. 117-127). Springer International Publishing. doi:10.1007/978-3-030-59725-2_12

DOI: 10.1007/978-3-030-59725-2_12

Comparison of Associations with Different Macular Inner Retinal Thickness Parameters in a Large Cohort: The UK Biobank. (Journal article)

Khawaja, A. P., Chua, S., Hysi, P. G., Georgoulas, S., Currant, H., Fitzgerald, T. W., . . . UK Biobank Eye and Vision Consortium. (2020). Comparison of Associations with Different Macular Inner Retinal Thickness Parameters in a Large Cohort: The UK Biobank.. Ophthalmology, 127(1), 62-71. doi:10.1016/j.ophtha.2019.08.015

DOI: 10.1016/j.ophtha.2019.08.015

Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement (Conference Paper)

Ma, Y., Liu, Y., Cheng, J., Zheng, Y., Ghahremani, M., Chen, H., . . . Zhao, Y. (2020). Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement. In Unknown Conference (pp. 667-677). Springer International Publishing. doi:10.1007/978-3-030-59713-9_64

DOI: 10.1007/978-3-030-59713-9_64

Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced Image (Conference Paper)

Kidsumran, V., & Zheng, Y. (2020). Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced Image. In Unknown Conference (pp. 220-227). Springer International Publishing. doi:10.1007/978-3-030-39343-4_19

DOI: 10.1007/978-3-030-39343-4_19

Medical Image Understanding and Analysis (Book)

Zheng, Y., Williams, B. M., & Chen, K. (2020). Preface (Vol. 1065 CCIS).

Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema (Conference Paper)

Zhu, W., Ku, J. Y., Zheng, Y., Knox, P., Harding, S. P., Kolamunnage-Dona, R., & Czanner, G. (2020). Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema. In Unknown Conference (pp. 114-126). Springer International Publishing. doi:10.1007/978-3-030-39343-4_10

DOI: 10.1007/978-3-030-39343-4_10

2019

Associations with photoreceptor thickness measures in the UK Biobank (Journal article)

Chua, S. Y. L., Dhillon, B., Aslam, T., Balaskas, K., Yang, Q., Keane, P. A., . . . Consortium, U. K. B. E. V. (2019). Associations with photoreceptor thickness measures in the UK Biobank. SCIENTIFIC REPORTS, 9. doi:10.1038/s41598-019-55484-1

DOI: 10.1038/s41598-019-55484-1

Ophthalmic Medical Image Analysis 6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings (Book)

Fu, H., Garvin, M. K., MacGillivray, T., Xu, Y., & Zheng, Y. (2019). Ophthalmic Medical Image Analysis 6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings. Springer Nature.

Quantile regression analysis reveals widespread evidence for gene-environment or gene-gene interactions in myopia development (Journal article)

Pozarickij, A., Williams, C., Hysi, P. G., Guggenheim, J. A., Aslam, T., Barman, S. A., . . . Zheng, Y. (2019). Quantile regression analysis reveals widespread evidence for gene-environment or gene-gene interactions in myopia development. Communications Biology, 2(1). doi:10.1038/s42003-019-0387-5

DOI: 10.1038/s42003-019-0387-5

Associations with Corneal Hysteresis in a Population Cohort Results from 96 010 UK Biobank Participants (Journal article)

Zhang, B., Shweikh, Y., Khawaja, A. P., Gallacher, J., Bauermeister, S., Foster, P. J., . . . Consortium, U. E. V. (2019). Associations with Corneal Hysteresis in a Population Cohort Results from 96 010 UK Biobank Participants. OPHTHALMOLOGY, 126(11), 1500-1510. doi:10.1016/j.ophtha.2019.06.029

DOI: 10.1016/j.ophtha.2019.06.029

CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation (Conference Paper)

Mou, L., Zhao, Y., Chen, L., Cheng, J., Gu, Z., Hao, H., . . . Liu, J. (2019). CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 (pp. 721-730). Shenzhen, China: Springer. doi:10.1007/978-3-030-32239-7_80

DOI: 10.1007/978-3-030-32239-7_80

Exploiting Reliability-Guided Aggregation for the Assessment of Curvilinear Structure Tortuosity (Conference Paper)

Su, P., Zhao, Y., Chen, T., Xie, J., Zhao, Y., Qi, H., . . . Liu, J. (2019). Exploiting Reliability-Guided Aggregation for the Assessment of Curvilinear Structure Tortuosity. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019 Vol. 11767 (pp. 12-20). Shenzhen: Springer International Publishing. doi:10.1007/978-3-030-32251-9_2

DOI: 10.1007/978-3-030-32251-9_2

Dictionary Learning Informed Deep Neural Network with Application to OCT Images (Conference Paper)

Bridge, J., Harding, S. P., Zhao, Y., & Zheng, Y. (2019). Dictionary Learning Informed Deep Neural Network with Application to OCT Images. In Unknown Conference (pp. 1-8). Springer International Publishing. doi:10.1007/978-3-030-32956-3_1

DOI: 10.1007/978-3-030-32956-3_1

Automated retinal lesion detection via image saliency analysis (Journal article)

Yan, Q., Zhao, Y., Zheng, Y., Liu, Y., Zhou, K., Frangi, A., & Liu, J. (2019). Automated retinal lesion detection via image saliency analysis. MEDICAL PHYSICS, 46(10), 4531-4544. doi:10.1002/mp.13746

DOI: 10.1002/mp.13746

Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data (Journal article)

Celik, N., O’Brien, F., Brennan, S., Rainbow, R., Dart, C., Zheng, Y., . . . Barrett-Jolley, R. (n.d.). Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. BioRxiv. doi:10.1101/767418

DOI: 10.1101/767418

2D transform-domain Fourier filters for eliminating microsaccade noise in en face optical coherence tomography angiography (Conference Paper)

Yang, J., Fang, L., Hu, Y., Zhao, Y., Zheng, Y., & Liu, J. (2019). 2D transform-domain Fourier filters for eliminating microsaccade noise in en face optical coherence tomography angiography. In OPTICAL COHERENCE IMAGING TECHNIQUES AND IMAGING IN SCATTERING MEDIA III Vol. 11078. doi:10.1117/12.2527041

DOI: 10.1117/12.2527041

En-face morphometric analysis of the human limbal lymphatic vasculature (Conference Paper)

Steger, B., Palme, C., Romano, V., Ahmad, S., Seifarth, C., Williams, B., . . . Kaye, S. B. (2019). En-face morphometric analysis of the human limbal lymphatic vasculature. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 60. Retrieved from http://gateway.webofknowledge.com/

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.

Line-Field Optical Coherence Tomography as a tool for In vitro characterization of corneal biomechanics under physiological pressures (Journal article)

Kazaili, A., Lawman, S., Geraghty, B., Eliasy, A., Zheng, Y., Shen, Y., & Akhtar, R. (2019). Line-Field Optical Coherence Tomography as a tool for In vitro characterization of corneal biomechanics under physiological pressures. Scientific Reports. doi:10.1038/s41598-019-42789-4

DOI: 10.1038/s41598-019-42789-4

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

Application of SPF moisturisers is inferior to sunscreens in coverage of facial and eyelid regions (Journal article)

Lourenco, E. A. J., Shaw, L., Pratt, H., Duffy, G. L., Czanner, G., Zheng, Y., . . . McCormick, A. G. (2019). Application of SPF moisturisers is inferior to sunscreens in coverage of facial and eyelid regions. PLOS ONE, 14(4). doi:10.1371/journal.pone.0212548

DOI: 10.1371/journal.pone.0212548

Cohort profile: design and methods in the eye and vision consortium of UK Biobank. (Journal article)

Chua, S. Y. L., Thomas, D., Allen, N., Lotery, A., Desai, P., Patel, P., . . . UK Biobank Eye & Vision Consortium. (2019). Cohort profile: design and methods in the eye and vision consortium of UK Biobank.. BMJ open, 9(2), e025077. doi:10.1136/bmjopen-2018-025077

DOI: 10.1136/bmjopen-2018-025077

Detecting Change in Conjunctival Hyperemia Using a Pixel Densitometry Index (Journal article)

Romano, V., Steger, B., Brunner, M., Kaye, A., Zheng, Y., Willoughby, C. E., & Kaye, S. B. (2019). Detecting Change in Conjunctival Hyperemia Using a Pixel Densitometry Index. OCULAR IMMUNOLOGY AND INFLAMMATION, 27(2), 276-281. doi:10.1080/09273948.2017.1387276

DOI: 10.1080/09273948.2017.1387276

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

Feature visualisation of classification of diabetic retinopathy using a convolutional neural network (Conference Paper)

Pratt, H., Coenen, F., Harding, S. P., Broadbent, D. M., & Zheng, Y. (2019). Feature visualisation of classification of diabetic retinopathy using a convolutional neural network. In CEUR Workshop Proceedings Vol. 2429 (pp. 23-29).

2018

Comparison of optic disc images from two smartphone-based imaging systems in glaucoma patients and suspects (Journal article)

Boonarpha, N., Knox, P. C., Batterbury, M., Rogers, C., & Zheng, Y. (2018). Comparison of optic disc images from two smartphone-based imaging systems in glaucoma patients and suspects. Ophthalmology Journal.

Retinal artery and vein classification via dominant sets clustering based vascular topology estimation (Conference Paper)

Zhao, Y., Xie, J., Su, P., Zheng, Y., Liu, Y., Cheng, J., & Liu, J. (2018). Retinal artery and vein classification via dominant sets clustering based vascular topology estimation. In Medical Image Computing and Computer Assisted Intervention (MICCAI). Granada, Spain.

Uniqueness-driven saliency analysis for automated lesion detection with applications to retinal diseases (Conference Paper)

Zhao, Y., Zheng, Y., Zhao, Y., Liu, Y., Chen, Z., Liu, P., & Liu, J. (2018). Uniqueness-driven saliency analysis for automated lesion detection with applications to retinal diseases. In Medical Image Computing and Computer Assisted Intervention (MICCAI). Granada, Spain.

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 detection of corneal nerves using deep learning (Conference Paper)

Qi, H., Borroni, D., Liu, R., Williams, B., Beech, M., Zhao, Y., . . . Zheng, Y. (2018). Automated detection of corneal nerves using deep learning. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 59. Retrieved from http://gateway.webofknowledge.com/

Building a validated in vivo confocal microscopy (IVCM) dataset for the study of corneal nerves (Conference Paper)

Borroni, D., Beech, M., Williams, B., Liu, R., Zhao, Y., Ma, B., . . . Zheng, Y. (2018). Building a validated in vivo confocal microscopy (IVCM) dataset for the study of corneal nerves. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 59. Retrieved from http://gateway.webofknowledge.com/

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.

RETINAL VASCULAR TOPOLOGY ESTIMATION VIA DOMINANT SETS CLUSTERING (Conference Paper)

Xie, J., Zhao, Y., Zheng, Y., Su, P., Liu, J., Wang, Y., & IEEE. (2018). RETINAL VASCULAR TOPOLOGY ESTIMATION VIA DOMINANT SETS CLUSTERING. In 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018) (pp. 1458-1462). Retrieved from http://gateway.webofknowledge.com/

Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral (Conference Paper)

Pratt, H., Zheng, Y., Harding, S. P., Williams, B., Coenen, F., & Broadbent, D. (2018). Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral. In EUROPEAN JOURNAL OF OPHTHALMOLOGY Vol. 28 (pp. 7). Retrieved from http://gateway.webofknowledge.com/

Neurovascular sequestration in paediatric P. falciparum malaria is visible clinically in the retina (Journal article)

Barrera, V., MacCormick, I. J. C., Czanner, G., Hiscott, P. S., White, V. A., Craig, A. G., . . . Harding, S. P. (2018). Neurovascular sequestration in paediatric P. falciparum malaria is visible clinically in the retina. eLife, 7. doi:10.7554/eLife.32208

DOI: 10.7554/eLife.32208

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.

Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter (Journal article)

Zhao, Y., Zheng, Y., Liu, Y., Zhao, Y., Luo, L., Yang, S., . . . Liu, J. (2018). Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter. IEEE Transactions on Medical Imaging, 37(2), 438-450. doi:10.1109/TMI.2017.2756073

DOI: 10.1109/TMI.2017.2756073

Identification of Feeder Vessels in Ocular Surface Neoplasia using Indocyanine Green Angiography (Journal article)

Brunner, M., Romano, V., Steger, B., Zheng, Y., & Kaye, S. (n.d.). Identification of Feeder Vessels in Ocular Surface Neoplasia using Indocyanine Green Angiography. Current Eye Research, 43(2), 163-169. doi:10.1080/02713683.2017.1387273

DOI: 10.1080/02713683.2017.1387273

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

Automated Glaucoma Diagnosis using Deep Learning Approach (Conference Paper)

Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Zheng, Y., & IEEE. (2017). Automated Glaucoma Diagnosis using Deep Learning Approach. In 2017 14TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) (pp. 207-210). Retrieved from http://gateway.webofknowledge.com/

A compactness based saliency approach for leakages detection in fluorescein angiogram (Journal article)

Zhao, Y., Su, P., Yang, J., Zhao, Y., Zheng, Y., & Wang, Y. (2017). A compactness based saliency approach for leakages detection in fluorescein angiogram. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 8(6), 1971-1979. doi:10.1007/s13042-016-0573-4

DOI: 10.1007/s13042-016-0573-4

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

Spatial statistical modelling of capillary non-perfusion in the retina (Journal article)

MacCormick, I., Zheng, Y., Czanner, S., Zhao, Y., Diggle, P., Harding, S., & Czanner, G. (2017). Spatial statistical modelling of capillary non-perfusion in the retina. Scientific Reports, 7. doi:10.1038/s41598-017-16620-x

DOI: 10.1038/s41598-017-16620-x

Saliency driven vasculature segmentation with infinite perimeter active contour model (Journal article)

Zhao, Y., Zhao, J., Yang, J., Liu, Y., Zhao, Y., Zheng, Y., . . . Wang, Y. (2017). Saliency driven vasculature segmentation with infinite perimeter active contour model. NEUROCOMPUTING, 259, 201-209. doi:10.1016/j.neucom.2016.07.077

DOI: 10.1016/j.neucom.2016.07.077

UV imaging reveals facial areas that are prone to skin cancer are disproportionately missed during sunscreen application (Journal article)

Pratt, H., Hassanin, K., Troughton, L. D., Czanner, G., Zheng, Y., McCormick, A. G., & Hamill, K. J. (2017). UV imaging reveals facial areas that are prone to skin cancer are disproportionately missed during sunscreen application. PLOS ONE, 12(10). doi:10.1371/journal.pone.0185297

DOI: 10.1371/journal.pone.0185297

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

Ultraviolet imaging reveals that areas on the face that are prone to skin cancer are disproportionately missed during sunscreen application (Conference Paper)

Hassanin, K., Pratt, H., Zheng, Y., Czanner, G., Hamill, K., & McCormick, A. (2017). Ultraviolet imaging reveals that areas on the face that are prone to skin cancer are disproportionately missed during sunscreen application. In BRITISH JOURNAL OF DERMATOLOGY Vol. 177 (pp. 13-14). Retrieved from http://gateway.webofknowledge.com/

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.

CEREBRAL VASCULAR ENHANCEMENT USING A WEIGHTED 3D SYMMETRY FILTER (Conference Paper)

Luo, L., Zhao, Y., Yang, J., Zheng, Y., Yang, S., Ai, D., . . . IEEE. (2017). CEREBRAL VASCULAR ENHANCEMENT USING A WEIGHTED 3D SYMMETRY FILTER. In 2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2017) (pp. 942-946). Retrieved from http://gateway.webofknowledge.com/

Spatial distribution modelling of retinal lesions with application to retinal capillary non-perfusion in malarial retinopathy. (Conference Paper)

Czanner, G., MacCormick, I. J., Zheng, Y., Czanner, S., Zhao, Y., Diggle, P., & Harding, S. P. (2017). Spatial distribution modelling of retinal lesions with application to retinal capillary non-perfusion in malarial retinopathy.. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 58. Retrieved from http://gateway.webofknowledge.com/

Automatic Feature Learning Method for Detection of Retinal Landmarks (Conference Paper)

Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Al-Ataby, A., & Zheng, Y. (2016). Automatic Feature Learning Method for Detection of Retinal Landmarks. In 2016 9TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2016) (pp. 13-18). doi:10.1109/DeSE.2016.4

DOI: 10.1109/DeSE.2016.4

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

Measurement of the ratio of branching fractions and difference in CP asymmetries of the decays B+ -> J/psi pi(+) and B+ -> J/psi K+ (Journal article)

Aaij, R., Adeva, B., Adinolfi, M., Ajaltouni, Z., Akar, S., Albrecht, J., . . . Collaboration, L. (2017). Measurement of the ratio of branching fractions and difference in CP asymmetries of the decays B+ -> J/psi pi(+) and B+ -> J/psi K+. JOURNAL OF HIGH ENERGY PHYSICS, (3). doi:10.1007/JHEP03(2017)036

DOI: 10.1007/JHEP03(2017)036

Intra-retinal Layers Segmentation of Macular OCT Images Based on the Graph Optimal Approach (Conference Paper)

Gao, Z., Bu, W., Wu, X., & Zheng, Y. (2016). Intra-retinal Layers Segmentation of Macular OCT Images Based on the Graph Optimal Approach. In 2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016) (pp. 1359-1364). Retrieved from http://gateway.webofknowledge.com/

Thickness Measurements of Ten Intra-retinal Layers from Optical Coherent Tomography Images Using a Super-pixels and Manifold Ranking Approach (Conference Paper)

Gao, Z., Bu, W., Wu, X., & Zheng, Y. (2016). Thickness Measurements of Ten Intra-retinal Layers from Optical Coherent Tomography Images Using a Super-pixels and Manifold Ranking Approach. In 2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016) (pp. 1370-1375). Retrieved from http://gateway.webofknowledge.com/

Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach. (Journal article)

Gao, Z., Bu, W., Zheng, Y., & Wu, X. (2017). Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 55, 42-53. doi:10.1016/j.compmedimag.2016.07.006

DOI: 10.1016/j.compmedimag.2016.07.006

Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy (Journal article)

Zhao, Y., Zheng, Y., Liu, Y., Yang, J., Zhao, Y., Chen, D., & Wang, Y. (2017). Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy. IEEE TRANSACTIONS ON MEDICAL IMAGING, 36(1), 51-63. doi:10.1109/TMI.2016.2593725

DOI: 10.1109/TMI.2016.2593725

Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration (Journal article)

Albarrak, A., Coenen, F., & Zheng, Y. (2017). Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 55, 113-123. doi:10.1016/j.compmedimag.2016.07.007

DOI: 10.1016/j.compmedimag.2016.07.007

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/

Glaucoma diagnosis using feature learning based on convolutional neural network (Journal article)

Al-Taee, M., Al-Bander, B., Al-Nuaimy, W., & Zheng, Y. (2016). Glaucoma diagnosis using feature learning based on convolutional neural network. Int. Journal Engineering, Technology and Natural Sciences, 1(2), 29-33.

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.

Automatic Enhancement & Analysis of Corneal Data from Ultra-High Resolution Optical Coherence Tomography (OCT) (Poster)

Williams, B. M., Lawman, S., Kaye, S., Willoughby, C., Harding, S. P., Shen, Y., & Zheng, Y. (2016). Automatic Enhancement & Analysis of Corneal Data from Ultra-High Resolution Optical Coherence Tomography (OCT). Poster session presented at the meeting of DEVS Away Day 2016.

Cardioversion of Atrial Fibrillation in ENGAGE AF-TIMI 48 (Journal article)

Plitt, A., Ezekowitz, M. D., De Caterina, R., Nordio, F., Peterson, N., Giugliano, R. P., . . . Investigators, E. N. G. A. G. E. A. F. -T. I. M. I. . (2016). Cardioversion of Atrial Fibrillation in ENGAGE AF-TIMI 48. CLINICAL CARDIOLOGY, 39(6), 345-346. doi:10.1002/clc.22537

DOI: 10.1002/clc.22537

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

Nondestructive analysis of automotive paints with spectral domain optical coherence tomography (Journal article)

Dong, Y., Lawman, S., Zheng, Y., Williams, D., Zhang, J., & Shen, Y. -C. (2016). Nondestructive analysis of automotive paints with spectral domain optical coherence tomography. APPLIED OPTICS, 55(13), 3695-3700. doi:10.1364/AO.55.003695

DOI: 10.1364/AO.55.003695

Leakage detection on diabetic retinopathy by using saliency (Conference Paper)

Zhao, Y., Yang, J., Zheng, Y., & Wang, Y. (2016). Leakage detection on diabetic retinopathy by using saliency. In International Symposium on Biomedical Imaging (ISBI'16). Prague, Czech.

Reconstruction of 3D Surface Maps from Anterior Segment Optical Coherence Tomography Images Using Graph Theory and Genetic Algorithms (Journal article)

Williams, D., Zheng, Y., Davey, P. G., Bao, F., Shen, M., & Elsheikh, A. (2016). Reconstruction of 3D Surface Maps from Anterior Segment Optical Coherence Tomography Images Using Graph Theory and Genetic Algorithms. Biomedical Signal Processing and Control, 25, 91-98. doi:10.1016/j.bspc.2015.11.004

DOI: 10.1016/j.bspc.2015.11.004

AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS (Journal article)

Al-Bander, B., Al-Nuaimy, W., Parry, D. G., Leach, S., & Zheng, Y. (2016). AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS. EUROPEAN JOURNAL OF OPHTHALMOLOGY, 26(4), E93-E94. Retrieved from http://gateway.webofknowledge.com/

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

Automated Artery-Vein Classification in Fundus Color Images (Conference Paper)

Yang, Y., Bu, W., Wang, K., Zheng, Y., & Wu, X. (2016). Automated Artery-Vein Classification in Fundus Color Images. In Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016 Vol. 623 (pp. 228-237). Harbin, China: Springer Singapore. doi:10.1007/978-981-10-2053-7_21

DOI: 10.1007/978-981-10-2053-7_21

Convolutional Neural Networks for Diabetic Retinopathy (Conference Paper)

Pratt, H., Coenen, F., Broadbent, D. M., Harding, S. P., & Zheng, Y. (2016, July 6). Convolutional Neural Networks for Diabetic Retinopathy. In Procedia Computer Science Vol. 90 (pp. 200-205). Loughbrough University: Elsevier B.V. doi:10.1016/j.procs.2016.07.014

DOI: 10.1016/j.procs.2016.07.014

Robust Face Frontalization in Unconstrained Images (Conference Paper)

Zhang, Y., Qian, J., & Yang, J. (2016). Robust Face Frontalization in Unconstrained Images. In PATTERN RECOGNITION (CCPR 2016), PT I Vol. 662 (pp. 225-233). doi:10.1007/978-981-10-3002-4_19

DOI: 10.1007/978-981-10-3002-4_19

2015

The Application of Full-Field Optical Coherence Tomography on Evaluating Film Coating of Pharmaceutical Pellets (Conference Paper)

Zhang, J., Shen, Y., & Zheng, Y. (2015). The Application of Full-Field Optical Coherence Tomography on Evaluating Film Coating of Pharmaceutical Pellets. In CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING (pp. 1047-1051). doi:10.1109/CIT/IUCC/DASC/PICOM.2015.159

DOI: 10.1109/CIT/IUCC/DASC/PICOM.2015.159

Angiographic and in vivo confocal microscopic characterization of human corneal blood and presumed lymphatic neovascularization: A pilot study (Journal article)

Romano, V., Steger, B., Zheng, Y., Ahmad, S., Willoughby, C. E., & Kaye, S. B. (2015). Angiographic and in vivo confocal microscopic characterization of human corneal blood and presumed lymphatic neovascularization: A pilot study. Cornea, 34(11), 1459-1465. doi:10.1097/ICO.0000000000000609

DOI: 10.1097/ICO.0000000000000609

Angiographic and In Vivo Confocal Microscopic Characterization of Human Corneal Blood and Presumed Lymphatic Neovascularization: A Pilot Study (Journal article)

Romano, V., Steger, B., Zheng, Y., Ahmad, S., Willoughby, C. E., & Kaye, S. B. (2015). Angiographic and In Vivo Confocal Microscopic Characterization of Human Corneal Blood and Presumed Lymphatic Neovascularization: A Pilot Study. CORNEA, 34(11), 1459-1465. doi:10.1097/ICO.0000000000000609

DOI: 10.1097/ICO.0000000000000609

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).

Pharmacokinetics of Meropenem for Use in Bacterial Keratitis (Journal article)

Sueke, H., Kaye, S., Wilkinson, M. C., Kennedy, S., Kearns, V., Zheng, Y., . . . Neal, T. (2015). Pharmacokinetics of Meropenem for Use in Bacterial Keratitis. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 56(10), 5731-5738. doi:10.1167/iovs.15-17077

DOI: 10.1167/iovs.15-17077

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.

Standardization of choroidal thickness measurements using enhanced depth imaging optical coherence tomography (Journal article)

Boonarpha, N., Zheng, Y., Stangos, A. N., Lu, H., Raj, A., Czanner, G., . . . Nair-Sahni, J. (2015). Standardization of choroidal thickness measurements using enhanced depth imaging optical coherence tomography. INTERNATIONAL JOURNAL OF OPHTHALMOLOGY, 8(3), 484-491. doi:10.3980/j.issn.2222-3959.2015.03.09

DOI: 10.3980/j.issn.2222-3959.2015.03.09

Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy (Journal article)

Zhao, Y., MacCormick, I., Parry, D., Beare, N., Harding, S., & Zheng, Y. (2015). Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy. Scientific Reports, 5. doi:10.1038/srep11154

DOI: 10.1038/srep11154

Automated detection of leakage in fluorescein angiography images with application to malarial retinopathy (Journal article)

Zhao, Y., MacCormick, I. J. C., Parry, D., Leach, S., Beare, N. A. V., Harding, S., & Zheng, Y. (2015). Automated Detection of Leakage in Fluorescein Angiography Images with Application to Malarial Retinopathy. Scientific Reports, 5. doi:10.1038/srep10425

DOI: 10.1038/srep10425

Impact of hypertension on choroidal thickness in central serous chorioretinopathy (Conference Paper)

Boonarpha, N., Zheng, Y., Czanner, G., Harding, S. P., & Sahni, J. (2015). Impact of hypertension on choroidal thickness in central serous chorioretinopathy. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 56. Retrieved from http://gateway.webofknowledge.com/

Lymphatics and other vessels in human cornea (Conference Paper)

Romano, V., Steger, B., Zheng, Y., Willoughby, C. E., Ahmad, S., & Kaye, S. B. (2015). Lymphatics and other vessels in human cornea. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 56. Retrieved from http://gateway.webofknowledge.com/

Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase (vol 10, e0122332, 2015) (Journal article)

Zhao, Y., Liu, Y., Wu, X., Harding, S. P., & Zheng, Y. (2015). Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase (vol 10, e0122332, 2015). PLOS ONE, 10(4). doi:10.1371/journal.pone.0127486

DOI: 10.1371/journal.pone.0127486

Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase (Journal article)

Zhao, Y., Liu, Y., Wu, X., Harding, S., & Zheng, Y. (2015). Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase. PLOS One, 10(4). doi:10.1371/journal.pone.0122332

DOI: 10.1371/journal.pone.0122332

Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images (Journal article)

Zhao, Y., Rada, L., Chen, K., Harding, S., & Zheng, Y. (2015). Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images. IEEE Transactions on Medical Imaging, 34(9), 1797-1807. doi:10.1109/TMI.2015.2409024

DOI: 10.1109/TMI.2015.2409024

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

Fast segmentation of anterior segment optical coherence tomography images using graph cut (Journal article)

Williams, D., Zheng, Y., Bao, F., & Elsheikh, A. (2015). Fast segmentation of anterior segment optical coherence tomography images using graph cut. EYE AND VISION, 2. doi:10.1186/s40662-015-0011-9

DOI: 10.1186/s40662-015-0011-9

Corneal Angiography for Guiding and Evaluating Fine-Needle Diathermy Treatment of Corneal Neovascularization (Journal article)

Spiteri, N., Romano, V., Zheng, Y., Yadav, S., Dwivedi, R., Chen, J., . . . Kaye, S. B. (2015). Corneal Angiography for Guiding and Evaluating Fine-Needle Diathermy Treatment of Corneal Neovascularization. OPHTHALMOLOGY, 122(6), 1079-1084. doi:10.1016/j.ophtha.2015.02.012

DOI: 10.1016/j.ophtha.2015.02.012

2014

Age-related Macular Degeneration Screening using Data Mining Approaches (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2013). Age-related Macular Degeneration Screening using Data Mining Approaches. In 2013 FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, MODELLING AND SIMULATION (AIMS 2013) (pp. 299-303). doi:10.1109/AIMS.2013.55

DOI: 10.1109/AIMS.2013.55

Cerebrovascular Events in 21 105 Patients With Atrial Fibrillation Randomized to Edoxaban Versus Warfarin Effective Anticoagulation With Factor Xa Next Generation in Atrial Fibrillation-Thrombolysis in Myocardial Infarction 48 (Journal article)

Giugliano, R. P., Ruff, C. T., Rost, N. S., Silverman, S., Wiviott, S. D., Lowe, C., . . . Investigators, E. N. G. A. G. E. A. F. -T. I. M. I. . (2014). Cerebrovascular Events in 21 105 Patients With Atrial Fibrillation Randomized to Edoxaban Versus Warfarin Effective Anticoagulation With Factor Xa Next Generation in Atrial Fibrillation-Thrombolysis in Myocardial Infarction 48. STROKE, 45(8), 2372-2378. doi:10.1161/STROKEAHA.114.006025

DOI: 10.1161/STROKEAHA.114.006025

A Comprehensive Texture Segmentation Framework for Segmentation of Capillary Non-Perfusion Regions in Fundus Fluorescein Angiograms (Journal article)

Zheng, Y., Kwong, M. T., MacCormick, I. J. C., Beare, N. A. V., & Harding, S. P. (2014). A Comprehensive Texture Segmentation Framework for Segmentation of Capillary Non-Perfusion Regions in Fundus Fluorescein Angiograms. PLOS ONE, 9(4). doi:10.1371/journal.pone.0093624

DOI: 10.1371/journal.pone.0093624

Corneal Pharmacokinetics of Meropenem (Conference Paper)

Sueke, H., Neal, T., Tuft, S. J., Wilkinson, M., Zheng, Y., Winstanley, C., & Kaye, S. (2014). Corneal Pharmacokinetics of Meropenem. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 55. Retrieved from http://gateway.webofknowledge.com/

Corneal angiography for assessing, guiding and evaluating treatment of corneal neovascularisation (Conference Paper)

Spiteri, N., Chen, J., Zheng, Y., Romano, V., Tey, A., Yadav, S., . . . Kaye, S. (2014). Corneal angiography for assessing, guiding and evaluating treatment of corneal neovascularisation. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 55. Retrieved from http://gateway.webofknowledge.com/

Data mining for AMD screening: A classification based approach (Journal article)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2014). Data mining for AMD screening: A classification based approach. International Journal of Simulation: Systems, Science and Technology, 15(2), 57-69. doi:10.5013/IJSSST.a.15.02.09

DOI: 10.5013/IJSSST.a.15.02.09

Measurement and Computer Modeling of Temporary Arrangements of Polygonal Actin Structures in Trabecular Meshwork Cells Which Consist of Cross-Linked Actin Networks and Polygonal Actin Arrangements (Journal article)

Zheng, Y., Currie, L., Pollock, N., Heath, A., Sheridan, C., Choudhary, A., . . . Grierson, I. (2014). Measurement and Computer Modeling of Temporary Arrangements of Polygonal Actin Structures in Trabecular Meshwork Cells Which Consist of Cross-Linked Actin Networks and Polygonal Actin Arrangements. JOURNAL OF OCULAR PHARMACOLOGY AND THERAPEUTICS, 30(2-3), 224-236. doi:10.1089/jop.2013.0155

DOI: 10.1089/jop.2013.0155

A Comprehensive Texture Segmentation Framework for Segmentation of Capillary Non-Perfusion Regions in Fundus Fluorescein Angiograms (Journal article)

Zheng, Y., Kwong, M. T., MacCormick, I. J. C., Beare, N. A. V., & Harding, S. P. (n.d.). A Comprehensive Texture Segmentation Framework for Segmentation of Capillary Non-Perfusion Regions in Fundus Fluorescein Angiograms. PLoS ONE, 9(4), e93624. doi:10.1371/journal.pone.0093624

DOI: 10.1371/journal.pone.0093624

Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2014). Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration. In MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 272-284). Retrieved from http://gateway.webofknowledge.com/

Dictionary Learning-based Volumetric Image Classification for The Diagnosis of Age-related Macular Degeneration. (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2014). Dictionary Learning-based Volumetric Image Classification for The Diagnosis of Age-related Macular Degeneration.. In MLDM'14 (pp. 12 pages). St Petersburg: Springer.

2013

Classification of volumetric retinal images using overlapping decomposition and tree analysis (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of volumetric retinal images using overlapping decomposition and tree analysis. In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems. IEEE. doi:10.1109/cbms.2013.6627757

DOI: 10.1109/cbms.2013.6627757

Underwater Environment SDAP Method Using Multi Single-Beam Sonars (Journal article)

Yan, Z., Chi, D., Hou, S., & Zheng, Y. (2013). Underwater Environment SDAP Method Using Multi Single-Beam Sonars. MATHEMATICAL PROBLEMS IN ENGINEERING, 2013. doi:10.1155/2013/718012

DOI: 10.1155/2013/718012

Obstacle Avoidance for Unmanned Undersea Vehicle in Unknown Unstructured Environment (Journal article)

Yan, Z., Zhao, Y., Hou, S., Zhang, H., & Zheng, Y. (2013). Obstacle Avoidance for Unmanned Undersea Vehicle in Unknown Unstructured Environment. MATHEMATICAL PROBLEMS IN ENGINEERING, 2013. doi:10.1155/2013/841376

DOI: 10.1155/2013/841376

Marginal Corneal Vascular Arcades (Journal article)

Zheng, Y., Kaye, A. E., Boker, A., Stewart, R. K., Tey, A., Ahmad, S., . . . Kaye, S. B. (2013). Marginal Corneal Vascular Arcades. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 54(12), 7470-7477. doi:10.1167/iovs.13-12614

DOI: 10.1167/iovs.13-12614

Hierarchical Detection of Hard Exudates in Color Retinal Images (Journal article)

Bu, W., Wu, X., Chen, X., Dai, B., & Zheng, Y. (n.d.). Hierarchical Detection of Hard Exudates in Color Retinal Images. Journal of Software, 8(11). doi:10.4304/jsw.8.11.2723-2732

DOI: 10.4304/jsw.8.11.2723-2732

Automated Segmentation of the Choroid in Retinal Optical Coherence Tomography Images (Conference Paper)

Lu, H., Boonarpha, N., Kwong, M. T., Zheng, Y., & IEEE. (2013). Automated Segmentation of the Choroid in Retinal Optical Coherence Tomography Images. In 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) (pp. 5869-5872). Retrieved from http://gateway.webofknowledge.com/

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.

Automatic segmentation of anterior segment optical coherence tomography images (Journal article)

Williams, D., Zheng, Y., Bao, F., & Elsheikh, A. (2013). Automatic segmentation of anterior segment optical coherence tomography images. Journal of Biomedical Optics, 18(5), 056003. doi:10.1117/1.jbo.18.5.056003

DOI: 10.1117/1.jbo.18.5.056003

Automatic segmentation of anterior segment optical coherence tomography images (Conference Paper)

Williams, D., Zheng, Y., Bao, F., & Elsheikh, A. (2013). Automatic segmentation of anterior segment optical coherence tomography images. In JOURNAL OF BIOMEDICAL OPTICS Vol. 18. doi:10.1117/1.JBO.18.5.056003

DOI: 10.1117/1.JBO.18.5.056003

A 3D segmentation framework for cornea segmentation in anterior segment OCT images using level set technique with shape prior (Conference Paper)

Williams, D., Zheng, Y., & Elsheikh, A. (2013). A 3D segmentation framework for cornea segmentation in anterior segment OCT images using level set technique with shape prior. In MIUA (pp. 1-8). Birminham: BMVC.

A general model for multiphase texture segmentation and its applications to retinal image analysis (Journal article)

Zheng, Y., & Chen, K. (2013). A general model for multiphase texture segmentation and its applications to retinal image analysis. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 8(4), 374-381. doi:10.1016/j.bspc.2013.02.004

DOI: 10.1016/j.bspc.2013.02.004

AUTOMATED DETECTION OF LEAKAGE SITES IN FUNDUS FLUORESCEIN ANGIOGRAPHY FOR DIABETIC MACULOPATHY (Journal article)

Kwong, M. T., Zheng, Y., Parry, D., Sahni, J. N., Raj, A., & Harding, S. P. (2013). AUTOMATED DETECTION OF LEAKAGE SITES IN FUNDUS FLUORESCEIN ANGIOGRAPHY FOR DIABETIC MACULOPATHY. EUROPEAN JOURNAL OF OPHTHALMOLOGY, 23(3), 460. Retrieved from http://gateway.webofknowledge.com/

Age-related Macular Degeneration Identification In Volumetric Optical Coherence Tomography Using Decomposition and Local Feature Extraction (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Age-related Macular Degeneration Identification In Volumetric Optical Coherence Tomography Using Decomposition and Local Feature Extraction. In MIUA (pp. 59-64). Birmingham: MIUA.

Age-related macular degeneration screening using data mining approaches. (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2013). Age-related macular degeneration screening using data mining approaches.. In 1st International Conference on Aritificial Intelligence, Modelling and Simulation (pp. 1-8). Kota Kinabalu: IEEE.

Automated Segmentation of the Choroid in Retinal Optical Coherence Tomography Images (Conference Paper)

Lu, H., Boonarpha, N., Kwong, M. T., & Zheng, Y. (2013). Automated Segmentation of the Choroid in Retinal Optical Coherence Tomography Images. In The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. pp). Osaka: IEEE.

Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis. In IEEE CBMS2013 (pp. 1-8). Porto: IEEE.

Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis. In 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (pp. 11-16). Retrieved from http://gateway.webofknowledge.com/

Classification of volumetric retinal images using overlapping decomposition and tree analysis (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of volumetric retinal images using overlapping decomposition and tree analysis. In The 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 6). Porto, Portugal: IEEE.

Computerized Assessment of Intraretinal and Subretinal Fluid Regions in Spectral-Domain Optical Coherence Tomography Images of the Retina (Journal article)

Zheng, Y., Sahni, J., Campa, C., Stangos, A. N., Raj, A., & Harding, S. P. (2013). Computerized Assessment of Intraretinal and Subretinal Fluid Regions in Spectral-Domain Optical Coherence Tomography Images of the Retina. AMERICAN JOURNAL OF OPHTHALMOLOGY, 155(2), 277-286. doi:10.1016/j.ajo.2012.07.030

DOI: 10.1016/j.ajo.2012.07.030

Evaluation of Corneal Vessels (Journal article)

Anijeet, D. R., Tey, A., Zheng, Y., Sueke, H., Ahmed, S., & Kaye, S. B. (2013). Evaluation of Corneal Vessels. European Ophthalmic Review, 07(02), 70. doi:10.17925/eor.2013.07.02.70

DOI: 10.17925/eor.2013.07.02.70

Retinal blood vessel detection using multiscale line filter and phase congruency (Conference Paper)

Dai, B., Bu, W., Wu, X., & Zheng, Y. (2013). Retinal blood vessel detection using multiscale line filter and phase congruency. In Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013 Vol. 1 (pp. 235-241).

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.

Automated "Disease/No Disease" Grading of Age-Related Macular Degeneration by an Image Mining Approach (Journal article)

Zheng, Y., Hijazi, M. H. A., & Coenen, F. (2012). Automated "Disease/No Disease" Grading of Age-Related Macular Degeneration by an Image Mining Approach. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 53(13), 8310-8318. doi:10.1167/iovs.12-9576

DOI: 10.1167/iovs.12-9576

Volumetric Image Mining Based on Decomposition and Graph Analysis: An Application to Retinal Optical Coherence Tomography (Conference Paper)

Albarrak, A., Coenen, F., Zheng, Y., & Yu, W. (2012). Volumetric Image Mining Based on Decomposition and Graph Analysis: An Application to Retinal Optical Coherence Tomography. In 13TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI 2012) (pp. 263-268). Retrieved from http://gateway.webofknowledge.com/

Quantifying Changes in Corneal Neovascularization Using Fluorescein and Indocyanine Green Angiography (Journal article)

Kirwan, R. P., Zheng, Y., Tey, A., Anijeet, D., Sueke, H., & Kaye, S. B. (2012). Quantifying Changes in Corneal Neovascularization Using Fluorescein and Indocyanine Green Angiography. AMERICAN JOURNAL OF OPHTHALMOLOGY, 154(5), 850-858. doi:10.1016/j.ajo.2012.04.021

DOI: 10.1016/j.ajo.2012.04.021

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.

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.

Data mining techniques for the screening of age-related macular degeneration (Journal article)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Data mining techniques for the screening of age-related macular degeneration. KNOWLEDGE-BASED SYSTEMS, 29, 83-92. doi:10.1016/j.knosys.2011.07.002

DOI: 10.1016/j.knosys.2011.07.002

Imaging and Evaluation of Corneal Vascularization Using Fluorescein and Indocyanine Green Angiography (Journal article)

Anijeet, D. R., Zheng, Y., Tey, A., Hodson, M., Sueke, H., & Kaye, S. B. (2012). Imaging and Evaluation of Corneal Vascularization Using Fluorescein and Indocyanine Green Angiography. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 53(2), 650-658. doi:10.1167/iovs.11-8014

DOI: 10.1167/iovs.11-8014

'Quantifying changes in corneal neovascularization using fluorescein and indocyanine green angiography' (Journal article)

Kirwan, R. P., Zheng, Y., Tey, A., Sueke, H., Anijeet, D. R., & Kaye, S. B. (2012). 'Quantifying changes in corneal neovascularization using fluorescein and indocyanine green angiography'. American Journal of Ophthalmology, 154(2), 850-858.

A Hierarchical Algorithm for Multiphase Texture Image Segmentation (Journal article)

Zheng, Y., & Chen, K. (2012). A Hierarchical Algorithm for Multiphase Texture Image Segmentation. ISRN Signal Processing, 2012, 1-11. doi:10.5402/2012/781653

DOI: 10.5402/2012/781653

Automated segmentation of capillary non-perfusion (CNP) regions in fundus fluorescein angiograms (FA) using a texture-based approach. (Conference Paper)

Kwong, E. M. T., Zheng, Y., MacCormick, I. J., Beare, N. A. V., & Harding, S. P. (2012). Automated segmentation of capillary non-perfusion (CNP) regions in fundus fluorescein angiograms (FA) using a texture-based approach.. In Invest Ophthalmol Vis Sci Vol. 53 (pp. 4082).

Combined ranibizumab and photodynamic therapy for late-diagnosis polypoidal choroidal vasculopathy. (Conference Paper)

Figueredo, G. S., Stangos, A. A., Zheng, Y., Briggs, M. C., Harding, S. P., & Sahni, J. N. (2012). Combined ranibizumab and photodynamic therapy for late-diagnosis polypoidal choroidal vasculopathy.. In Invest Ophthalmol Vis Sci Vol. 53 (pp. 2060).

Image Mining Approaches for The Screening of Age-Related Macular Degeneration (Chapter)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Image Mining Approaches for The Screening of Age-Related Macular Degeneration. In Data Mining (Working Title) (pp. TBA). Hauppauge (NY), USA: Nova Sciences Publishers Inc..

Image mining approaches for the screening of age-related macular degeneration (Chapter)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Image mining approaches for the screening of age-related macular degeneration. In Retinopathy: New Research (pp. 101-142).

Motion-free stereo fluorescein angiogram sequence. (Conference Paper)

Zheng, Y., Parry, D., Morphis, G., & Harding, S. P. (2012). Motion-free stereo fluorescein angiogram sequence.. In Invest Ophthalmol Vis Sci Vol. 53 (pp. 4103).

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.

Retinal image classification for the screening of age-related macular degeneration (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2011). Retinal image classification for the screening of age-related macular degeneration. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 325-338). doi:10.1007/978-0-85729-130-1-25

DOI: 10.1007/978-0-85729-130-1-25

Time Series Case Based Reasoning for Image Categorisation (Conference Paper)

Elsayed, A., Hijazi, M. H. A., Coenen, F., Garcia-Finana, M., Sluming, V., & Zheng, Y. (2011). Time Series Case Based Reasoning for Image Categorisation. In CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2011 Vol. 6880 (pp. 423-+). Retrieved from http://gateway.webofknowledge.com/

Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining (Conference Paper)

Hijazi, M. H. A., Jiang, C., Coenen, F., & Zheng, Y. (2011). Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining. In MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II Vol. 6912 (pp. 65-80). Retrieved from http://gateway.webofknowledge.com/

A Supervised Texture Approach for Segmentation of Capillary Nonperfusion Regions in Fundus Fluorescein Angiograms (Conference Paper)

Zheng, Y., Raj, A., Lu, H., Sahni, J. N., Beare, N., Broadbent, D., & al, E. (2011). A Supervised Texture Approach for Segmentation of Capillary Nonperfusion Regions in Fundus Fluorescein Angiograms. In Proc. of ARVO/ISIE Imaging Conference Vol. 1 (pp. ?).

A supervised texture approach for segmentation of capillary nonperfusion regions in fundus fluorescein angiograms (Conference Paper)

Zheng, Y., Raj, A., Lu, H., Sahni, J. N., Beare, N. A. V., Broadbent, D., & Harding, S. P. (2011). A supervised texture approach for segmentation of capillary nonperfusion regions in fundus fluorescein angiograms. In ARVO/ISIE2011 Vol. ? (pp. ?).

Automated Assessment of Rentinal Image Quality using Support Vector Machine (Conference Paper)

Lu, H., Zheng, Y., Parry, D., Deane, J., & Harding, S. P. (2011). Automated Assessment of Rentinal Image Quality using Support Vector Machine. In Proc. of ARVO/ISIE Imaging Conference Vol. 1 (pp. 78).

Automated assessment of retinal image quality using support vector machine (Conference Paper)

Lu, H., Zheng, Y., Parry, D., Deane, J., & Harding, S. P. (2011). Automated assessment of retinal image quality using support vector machine. In ARVO/ISIE 2011 Vol. ? (pp. ?).

Automated grading of age-related macular degeneration by an image mining approach (Conference Paper)

Zheng, Y., Hijazi, M. H. A., & Coenen, F. (2011). Automated grading of age-related macular degeneration by an image mining approach. In Inv Ophth Vis Sci Vol. 52 (pp. 6568).

Choroidal thickness in diabetic eyes using SD-OCT enhanced depth imaging (Conference Paper)

Lu, H., Zheng, Y., Stangos, A. N., Broadbent, D. M., Sahni, J., & Harding, S. P. (2011). Choroidal thickness in diabetic eyes using SD-OCT enhanced depth imaging. In Inv Ophth Vis Sci Vol. 52 (pp. 1292).

Feature analysis of optical coherence tomography in central serous chorioretinopathy (Conference Paper)

Hussain, A., Hare, J., Stangos, A. N., Zheng, Y., & Sahni, J. N. (2011). Feature analysis of optical coherence tomography in central serous chorioretinopathy. In Inv Ophth Vis Sci Vol. 52 (pp. 3866).

Identifying Age-related Macular Degeneration In Volumetric Retinal Images. (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2011). Identifying Age-related Macular Degeneration In Volumetric Retinal Images.. In Ophthalmic Image Analysis Workshop (pp. 53-58). Liverpool: University of Liverpool.

Imaging of corneal blood vessels (Conference Paper)

Anijeet, D., Zheng, Y., Hodgson, M., Tey, A., & Kaye, S. B. (2011). Imaging of corneal blood vessels. In Inv Ophth Vis Sci Vol. 52 (pp. 6412).

Location and stability of fixation during anti-VEGF treatment for neovascular age-related macular degeneration (Conference Paper)

Campa, C., Zheng, Y., Hooley, W., Sahni, J. N., Beare, N. A., & Heimann, H. (2011). Location and stability of fixation during anti-VEGF treatment for neovascular age-related macular degeneration. In EURETINA Vol. ? (pp. ?).

Retinal Image Classification for the Screening of Age-Related Macular Degeneration (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2011). Retinal Image Classification for the Screening of Age-Related Macular Degeneration. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVIII (pp. 325-338). doi:10.1007/978-0-85729-130-1_25

DOI: 10.1007/978-0-85729-130-1_25

Segmentation analysis of optical coherence tomography in central serous chorioretinopathy (Conference Paper)

Hare, J., Hussain, A., Stangos, A. N., Zheng, Y., & Sahni, J. N. (2011). Segmentation analysis of optical coherence tomography in central serous chorioretinopathy. In EURETINA2011 Vol. ? (pp. ?).

Segmentation of capillary non-perfusion in fundus fluorescein angiogram (Conference Paper)

Zheng, Y., Kwong, M. T., Raj, A., McCormick, I., Beare, N., & Harding, S. (2011). Segmentation of capillary non-perfusion in fundus fluorescein angiogram. In Ophthalmic Image Analysis Workshop.

Spectral-domain OCT of eyes with chronic central serous retinopathy treated with photodynamic therapy (Conference Paper)

Morphis, G., Zheng, Y., Stangos, A., Beare, N., Harding, S., & Sahni, J. (2011). Spectral-domain OCT of eyes with chronic central serous retinopathy treated with photodynamic therapy. In AAO2011 Vol. ? (pp. ?).

2010

Retinal Image Classification using a Histogram Based Approach (Conference Paper)

Hijazi, M. H. A., Coenen, F., Zheng, Y., & IEEE. (2010). Retinal Image Classification using a Histogram Based Approach. In 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010. Retrieved from http://gateway.webofknowledge.com/

Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2010). Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 197-+). Retrieved from http://gateway.webofknowledge.com/

Automated Segmentation of Foveal Avascular Zone in Fundus Fluorescein Angiography (Journal article)

Zheng, Y., Gandhi, J. S., Stangos, A. N., Campa, C., Broadbent, D. M., & Harding, S. P. (2010). Automated Segmentation of Foveal Avascular Zone in Fundus Fluorescein Angiography. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 51(7), 3653-3659. doi:10.1167/iovs.09-4935

DOI: 10.1167/iovs.09-4935

Automated Segmentation of Foveal Avascular Zone in Fundus Fluorescein Angiography (Journal article)

Zheng, Y., Gandhi, J. S., Stangos, A. N., Campa, C., Broadbent, D. M., & Harding, S. P. (2010). Automated Segmentation of Foveal Avascular Zone in Fundus Fluorescein Angiography. Investigative Opthalmology & Visual Science, 51(7), 3653. doi:10.1167/iovs.09-4935

DOI: 10.1167/iovs.09-4935

Automated segmentation of capillary non-perfusion from fundus fluorescein angiograms (Conference Paper)

Zheng, Y., Raj, A., Lu, H., Sahni, J., Beare, N., & Harding, S. P. (2010). Automated segmentation of capillary non-perfusion from fundus fluorescein angiograms. In Proceeding of Imaging in the eye: Technologies and clinical applications Vol. V (pp. 0).

Automated segmentation of capillary non-perfusion from fundus fluorescein angiograms (Conference Paper)

Zheng, Y., Raj, A., Lu, H., Sahni, J., Beare, N., & Harding, S. (2010). Automated segmentation of capillary non-perfusion from fundus fluorescein angiograms. In Imaging in the eye V: Technologies and Clinical Applications Vol. ? (pp. ?).

Fast Interactive Segmentation of fluid spaces in fourier-domain OCT images of the retina (Conference Paper)

Zheng, Y., Campa, C., Stangos, A. N., Parry, D., Deane, J., & Sahni, J. N. (2010). Fast Interactive Segmentation of fluid spaces in fourier-domain OCT images of the retina. In ARVO/ISIE Vol. ? (pp. ?).

Fast automated segmentation of fluid spaces in fourier-domain OCT images of the retina (Conference Paper)

Zheng, Y., Campa, C., Stangos, A. N., Parry, D., Deane, J., & Harding, S. P. (2010). Fast automated segmentation of fluid spaces in fourier-domain OCT images of the retina. In Inv Ophth Vis Sci Vol. 51 (pp. 1784).

Image categorisation using time series case based reasoning (Conference Paper)

Elsayed, A., Hijazi, M. H. A., Coenen, F., Garcia-Finana, M., Sluming, V., & Zheng, Y. (2010). Image categorisation using time series case based reasoning. In UKCBR10 (pp. 2-11). Cambridge: BCS-SGAI.

Optimisation of a fluorescein angiography protocol for improved clinical assessment of capillary perfusion in the diabetic macula (Conference Paper)

Gandhi, J. S., Campa, C., Zheng, Y., Sanusi, D., Broadbent, D. M., & Harding, S. P. (2010). Optimisation of a fluorescein angiography protocol for improved clinical assessment of capillary perfusion in the diabetic macula. In Inv Ophth Vis Sci Vol. 51 (pp. 4695).

2009

A Histogram Based Approach to Screening of Age-related Macular Degeneration (Conference Paper)

Hijazi, M. H. A., Coenen, F. P., & Zheng, Y. (2009). A Histogram Based Approach to Screening of Age-related Macular Degeneration. In MIUA'09 (pp. 54-158). Warwick: MIUA.

Automated segmentation of foveal avascular zone in fluorescein angiography in a clinical setting. (Conference Paper)

Zheng, Y., Sharp, J., Campa, C., Sahni, J. N., Broadbent, D. M., & Harding, S. P. (2009). Automated segmentation of foveal avascular zone in fluorescein angiography in a clinical setting.. In Investigative Ophthalmology and Vision Science Vol. 50 (pp. 330).

Cross-Linked Actin Networks (CLANs) Affect the Rigidity of the Meshwork Cell (Conference Paper)

Cracknell, K. P., Zheng, Y., Hoare, M. J., Grierson, I., & Clark, A. F. (2009). Cross-Linked Actin Networks (CLANs) Affect the Rigidity of the Meshwork Cell. In Investigative Ophthalmology & Vision Science Vol. 50 (pp. 4877).

Segmentation of foveal avascular zone from fluorescein angiography using a level set method. (Conference Paper)

Zheng, Y., Sharp, J., Campa, C., Sahni, J. N., Broadbent, D. M., & Harding, S. P. (2009). Segmentation of foveal avascular zone from fluorescein angiography using a level set method.. In Eur J Ophthalmol Vol. 19 (pp. 508).

2008

Learning from imbalanced data: a comparative study for Colon CAD - art. no. 69150R (Conference Paper)

Yang, X., Zheng, Y., Siddique, M., & Beddoe, G. (2008). Learning from imbalanced data: a comparative study for Colon CAD - art. no. 69150R. In MEDICAL IMAGING 2008: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2 Vol. 6915 (pp. R9150). doi:10.1117/12.770630

DOI: 10.1117/12.770630

Reduction of false positives by extracting fuzzy rules from data for polyp detection in CTC scans - art. no. 69150S (Conference Paper)

Siddique, M. M., Zheng, Y., Yang, X., & Beddoe, G. (2008). Reduction of false positives by extracting fuzzy rules from data for polyp detection in CTC scans - art. no. 69150S. In MEDICAL IMAGING 2008: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2 Vol. 6915 (pp. S9150). doi:10.1117/12.770578

DOI: 10.1117/12.770578

Simultaneous feature selection and classification based on genetic algorithms: an application to colonic polyp detection (Conference Paper)

Zheng, Y., Yang, X., Siddique, M., & Beddoe, G. (2008). Simultaneous feature selection and classification based on genetic algorithms: an application to colonic polyp detection. In MEDICAL IMAGING 2008: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2 Vol. 6915. doi:10.1117/12.770561

DOI: 10.1117/12.770561

2007

Reduction of false positives in polyp detection using weighted support vector machines (Conference Paper)

Zheng, Y., Yang, X., Beddoe, G., & IEEE. (2007). Reduction of false positives in polyp detection using weighted support vector machines. In 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 (pp. 4433-4436). doi:10.1109/IEMBS.2007.4353322

DOI: 10.1109/IEMBS.2007.4353322

Reduction of false positives in polyp detection using weighted support vector machines (Conference Paper)

Zheng, Y., Yang, X., & Beddoe, G. (2007). Reduction of false positives in polyp detection using weighted support vector machines. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp. 4433-4436). doi:10.1109/IEMBS.2007.4353322

DOI: 10.1109/IEMBS.2007.4353322

Fully automatic segmentation of liver from multiphase liver CT (Conference Paper)

Zheng, Y., Yang, X., Ye, X., & Lin, X. (2007). Fully automatic segmentation of liver from multiphase liver CT. In Medical Imaging 2007: Image Processing. SPIE. doi:10.1117/12.709711

DOI: 10.1117/12.709711

2005

Type II topological logic C-T(2) and approximate reasoning (Conference Paper)

Zheng, Y. L., Zhang, C. S., & Xia, Y. L. (2005). Type II topological logic C-T(2) and approximate reasoning. In FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS Vol. 3613 (pp. 243-252). Retrieved from http://gateway.webofknowledge.com/

2004

Alignment of dynamic contrast enhanced MR volumes of the breast for a multi-centre trial: an exemplar grid application (Conference Paper)

Zheng, Y. L., Tanner, C., Hill, D. L. G., Hawkes, D. J., White, M. J., Khazen, M., & Leach, M. O. (2004). Alignment of dynamic contrast enhanced MR volumes of the breast for a multi-centre trial: an exemplar grid application. In MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3 Vol. 5370 (pp. 294-303). doi:10.1117/12.535151

DOI: 10.1117/12.535151

Automated segmentation of lumbar vertebrae in digital videofluoroscopic images (Journal article)

Zheng, Y. L., Nixon, M. S., & Allen, R. (2004). Automated segmentation of lumbar vertebrae in digital videofluoroscopic images. IEEE TRANSACTIONS ON MEDICAL IMAGING, 23(1), 45-52. doi:10.1109/TMI.2003.819927

DOI: 10.1109/TMI.2003.819927

2003

Information Extraction from Medical Images: Developing an e-Science Application Based on the Globus Toolkit (Conference Paper)

Heckemann, R. A., Hartkens, T., Leung, K. K., Zheng, Y., Hill, D. L. G., Hajnal, J. V., & Rueckert, D. (2003). Information Extraction from Medical Images: Developing an e-Science Application Based on the Globus Toolkit. In UK e-Science All Hands Meeting. Nottingham, UK.

Lumbar spine visualisation based on kinematic analysis from videofluoroscopic imaging (Journal article)

Zheng, Y., Nixon, M. S., & Allen, R. (2003). Lumbar spine visualisation based on kinematic analysis from videofluoroscopic imaging. MEDICAL ENGINEERING & PHYSICS, 25(3), 171-179. doi:10.1016/S1350-4533(02)00182-0

DOI: 10.1016/S1350-4533(02)00182-0

2002

Lumbar Spine Motion Analysis via Automatic Segmentation (Conference Paper)

Zheng, Y., Allen, R., & Nixon, M. S. (2002). Lumbar Spine Motion Analysis via Automatic Segmentation. In the 4th World Congress of Biomechanics. Calgary, Canada.

2001

Automatic lumbar vertebrae segmentation in fluoroscopic images via optimised concurrent Hough transform (Conference Paper)

Zheng, Y. L., Nixon, M. S., Allen, R., IEEE., IEEE., & IEEE. (2001). Automatic lumbar vertebrae segmentation in fluoroscopic images via optimised concurrent Hough transform. In PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4 Vol. 23 (pp. 2653-2656). Retrieved from http://gateway.webofknowledge.com/

Automatic Lumbar Vertebrae Registration Using the Hough Transform in Digital Videofluoroscopy (Conference Paper)

Zheng, Y., Nixon, M. S., & Allen, R. (2001). Automatic Lumbar Vertebrae Registration Using the Hough Transform in Digital Videofluoroscopy. In the 7th Annual Scientific Conference of the Institute of Physics and Engineering in Medicine (IPEM) (pp. 172-173). Belfast, UK.

Measurement of the Kinematics of the Lumbar Spine in vivo (Conference Paper)

Allen, R., Zheng, Y., & Nixon, M. S. (2001). Measurement of the Kinematics of the Lumbar Spine in vivo. In International Conference on Biomechanics combined with Annual Scientific Meeting of Taiwanese Society of Biomechanics (pp. 25).

2000

Finding Lumbar Vertebrae by Evidence Gathering (Conference Paper)

Zheng, Y., Nixon, M. S., & Allen, R. (2000). Finding Lumbar Vertebrae by Evidence Gathering. In the 6th Annual Scientific Conference of the Institute of Physics and Engineering in Medicine (IPEM2000) (pp. 95-96). Southampton, UK.

Lumbar Spine Location in Fluoroscopic Images by Evidence Gathering (Conference Paper)

Zheng, Y., Nixon, M. S., & Allen, R. (2000). Lumbar Spine Location in Fluoroscopic Images by Evidence Gathering. In Medical Image Understanding and Analysis (MIUA2000) (pp. 45-48). London, UK.

Undated

Choroidal Thickness in Diabetic Eyes using Enhanced Depth Imaging Optical Coherence Tomography: 12-month Study (Other)

Lu, H., Raj, A., Zheng, Y., Sahni, J., Valerie, T., Stangos, A. N., . . . Broadbent, D. (n.d.). Choroidal Thickness in Diabetic Eyes using Enhanced Depth Imaging Optical Coherence Tomography: 12-month Study. In IOVS.

Colour Fundus Imaging in St Paul’s Eye Unit-Report to Directorate and CERC Operational Management Committee (Report)

Lu, H., Zheng, Y., Sharp, J., & Perison, S. (n.d.). Colour Fundus Imaging in St Paul’s Eye Unit-Report to Directorate and CERC Operational Management Committee.

Use ADCIS Digital Slider to Digitize Historical Ophthamology Films (Report)

Lu, H., Zheng, Y., Broadbent, D., & Harding, S. (n.d.). Use ADCIS Digital Slider to Digitize Historical Ophthamology Films.