2023
Patefield, A., Meng, Y., Airaldi, M., Coco, G., Vaccaro, S., Parekh, M., . . . Romano, V. (2023). Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK.. Translational vision science & technology, 12(5), 14. doi:10.1167/tvst.12.5.14DOI: 10.1167/tvst.12.5.14
Wilson, K. J., Dhalla, A., Meng, Y., Tu, Z., Zheng, Y., Mhango, P., . . . Beare, N. A. V. (2023). Retinal imaging technologies in cerebral malaria: a systematic review.. Malaria journal, 22(1), 139. doi:10.1186/s12936-023-04566-7DOI: 10.1186/s12936-023-04566-7
Meng, Y., Bridge, J., Zhao, Y., Joddrell, M., Qiao, Y., Yang, X., . . . Zheng, Y. (2023). Transportation Object Counting With Graph-Based Adaptive Auxiliary Learning. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 24(3), 3422-3437. doi:10.1109/TITS.2022.3226504DOI: 10.1109/TITS.2022.3226504
Meng, Y., Preston, F. G., Ferdousi, M., Azmi, S., Petropoulos, I. N., Kaye, S., . . . Zheng, Y. (2023). Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neuropathy: A Binary Classification Model. JOURNAL OF CLINICAL MEDICINE, 12(4). doi:10.3390/jcm12041284DOI: 10.3390/jcm12041284
Meng, Y., Bridge, J., Addison, C., Wang, M., Merritt, C., Franks, S., . . . Zheng, Y. (2023). Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning. MEDICAL IMAGE ANALYSIS, 84. doi:10.1016/j.media.2022.102722DOI: 10.1016/j.media.2022.102722
Meng, Y., Zhang, H., Zhao, Y., Gao, D., Hamill, B., Patri, G., . . . Zheng, Y. (2023). Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks. IEEE TRANSACTIONS ON MEDICAL IMAGING, 42(2), 416-429. doi:10.1109/TMI.2022.3203318DOI: 10.1109/TMI.2022.3203318
Dhirachaikulpanich, D., Chanthongdee, K., Zheng, Y., & Beare, N. A. V. (2023). A systematic review of OCT and OCT angiography in retinal vasculitis.. Journal of ophthalmic inflammation and infection, 13(1), 1. doi:10.1186/s12348-023-00327-4DOI: 10.1186/s12348-023-00327-4
Browning, N. D., Castagna, J., Kirkland, A. I., Moshtaghpour, A., Nicholls, D., Robinson, A. W., . . . Zheng, Y. (2023). The advantages of sub-sampling and Inpainting for scanning transmission electron microscopy. APPLIED PHYSICS LETTERS, 122(5). doi:10.1063/5.0135245DOI: 10.1063/5.0135245
Xie, J., Yi, Q., Wu, Y., Zheng, Y., Liu, Y., Macerollo, A., . . . Zhao, Y. (2023). Deep segmentation of OCTA for evaluation and association of changes of retinal microvasculature with Alzheimer's disease and mild cognitive impairment. BRITISH JOURNAL OF OPHTHALMOLOGY. doi:10.1136/bjo-2022-321399DOI: 10.1136/bjo-2022-321399
Application of Deep Learning Models in the Evaluation of Histopathology of Uveal Melanoma (Chapter)
Coupland, S. E., Zhang, H., Jones, H., & Zheng, Y. (2022). Application of Deep Learning Models in the Evaluation of Histopathology of Uveal Melanoma. In Global Perspectives in Ocular Oncology (pp. 211-216). Springer International Publishing. doi:10.1007/978-3-031-08250-4_21DOI: 10.1007/978-3-031-08250-4_21
2022
Harrison, S. L., Buckley, B. J. R., Zheng, Y., Hill, A., Hlaing, T., Davies, R., . . . Jones, I. (2022). Evaluation of Huawei Smart Wearables for Detection of Atrial Fibrillation in Patients Following Ischaemic Stroke: The Liverpool-Huawei Stroke Study. American Heart Journal. doi:10.1016/j.ahj.2022.12.004DOI: 10.1016/j.ahj.2022.12.004
Lawman, S., Zhang, Z., Shen, Y. -C., & Zheng, Y. (2022). Line Field Optical Coherence Tomography. Photonics, 9(12), 946. doi:10.3390/photonics9120946DOI: 10.3390/photonics9120946
Coenen, F., Aldosari, H., Lip, G., & Zheng, Y. (2022). Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor.
Warwick, A. N., Curran, K., Hamill, B., Stuart, K., Khawaja, A. P., Foster, P. J., . . . Peto, T. (2022). UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases. In EYE. doi:10.1038/s41433-022-02298-7DOI: 10.1038/s41433-022-02298-7
Alam, U., Anson, M., Meng, Y., Preston, F., Kirthi, V., Jackson, T. L., . . . Petropoulos, I. N. (2022). Artificial Intelligence and Corneal Confocal Microscopy: The Start of a Beautiful Relationship. JOURNAL OF CLINICAL MEDICINE, 11(20). doi:10.3390/jcm11206199DOI: 10.3390/jcm11206199
Chen, J., Mou, L., Ma, S., Fu, H., Guo, L., Zheng, Y., . . . Zhao, Y. (2022). NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT IV Vol. 13434 (pp. 79-88). doi:10.1007/978-3-031-16440-8_8DOI: 10.1007/978-3-031-16440-8_8
Meng, Y., Chen, X., Zhang, H., Zhao, Y., Gao, D., Hamill, B., . . . Zheng, Y. (2022). Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT IV Vol. 13434 (pp. 524-534). doi:10.1007/978-3-031-16440-8_50DOI: 10.1007/978-3-031-16440-8_50
Ferrara, M., Zheng, Y., & Romano, V. (2022). Editorial: Imaging in Ophthalmology. JOURNAL OF CLINICAL MEDICINE, 11(18). doi:10.3390/jcm11185433DOI: 10.3390/jcm11185433
Yang, X., Zhang, Z., Huang, Y., Zheng, Y., & Shen, Y. (n.d.). Using a graph-based image segmentation algorithm for remote vital sign estimation and monitoring. Scientific Reports, 12(1). doi:10.1038/s41598-022-19198-1DOI: 10.1038/s41598-022-19198-1
Lawman, S., Mason, S., Kaye, S. B., Shen, Y. -C., & Zheng, Y. (2022). Accurate In Vivo Bowman's Thickness Measurement Using Mirau Ultrahigh Axial Resolution Line Field Optical Coherence Tomography. Translational Vision Science & Technology, 11(8), 6. doi:10.1167/tvst.11.8.6DOI: 10.1167/tvst.11.8.6
Mou, L., Qi, H., Liu, Y., Zheng, Y., Matthew, P., Su, P., . . . Zhao, Y. (2022). DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity. IEEE TRANSACTIONS ON MEDICAL IMAGING, 41(8), 2079-2091. doi:10.1109/TMI.2022.3156906DOI: 10.1109/tmi.2022.3156906
Baumann, C., Sabatino, F., Zheng, Y., Johannigmann-Malek, N., Maier, M., Kaye, S. B., & Patton, N. (2022). Anatomical and functional outcomes of pneumatic vitreolysis for treatment of vitreomacular traction with and without macular holes.. Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 260(7), 2209-2215. doi:10.1007/s00417-022-05568-yDOI: 10.1007/s00417-022-05568-y
Preston, F. G., Meng, Y., Zheng, Y., Hsuan, J., Hamill, K. J., & McCormick, A. G. (2022). Informed Consent In Facial Photograph Publishing: A Cross-sectional Pilot Study To Determine The Effectiveness Of Deidentification Methods. JOURNAL OF EMPIRICAL RESEARCH ON HUMAN RESEARCH ETHICS, 17(3), 373-381. doi:10.1177/15562646221075459DOI: 10.1177/15562646221075459
Hernandez, R., Madhusudhan, S., Zheng, Y., & El-Bouri, W. (2022, June 27). GENERATION OF ARTIFICIAL RETINAL MICROVASCULAR NETWORKS: VIRTUAL POPULATIONS FOR IN SILICO TRIALS. In https://www.compbiomed.net/2021/cmbe-proceedings.htm. Milan, Italy.
Bridge, J., Fu, L., Lin, W., Xue, Y., Lip, G. Y. H., & Zheng, Y. (n.d.). Artificial intelligence to detect abnormal heart rhythm from scanned electrocardiogram tracings. Journal of Arrhythmia. doi:10.1002/joa3.12707DOI: 10.1002/joa3.12707
Lip, G. Y. H., Kotalczyk, A., Teutsch, C., Diener, H. -C., Dubner, S. J., Halperin, J. L., . . . GLORIA-AF Investigators. (2022). Correction to: Comparative effectiveness and safety of non-vitamin K antagonists for atrial fibrillation in clinical practice: GLORIA-AF Registry.. Clinical research in cardiology : official journal of the German Cardiac Society, 111(5), 593. doi:10.1007/s00392-022-02021-2DOI: 10.1007/s00392-022-02021-2
Zhang, H., Meng, Y., Zhao, Y., Qian, X., Qiao, Y., Yang, X., & Zheng, Y. (2022). 3D Human Pose and Shape Reconstruction from Videos via Confidence-Aware Temporal Feature Aggregation. IEEE Transactions on Multimedia, 1. doi:10.1109/tmm.2022.3167887DOI: 10.1109/tmm.2022.3167887
Shipley, E., Joddrell, M., Lip, G. Y. H., & Zheng, Y. (n.d.). Bridging the Gap Between Artificial Intelligence Research and Clinical Practice in Cardiovascular Science: What the Clinician Needs to Know. Arrhythmia and Electrophysiology Review, 11. doi:10.15420/aer.2022.07DOI: 10.15420/aer.2022.07
Meng, Y., Zhang, H., Zhao, Y., Yang, X., Qiao, Y., MacCormick, I. J. C., . . . Zheng, Y. (2022). Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation. IEEE TRANSACTIONS ON MEDICAL IMAGING, 41(3), 690-701. doi:10.1109/TMI.2021.3123567DOI: 10.1109/TMI.2021.3123567
Magdaleno, G. D. V., Bespalov, V., Zheng, Y., Freitas, A. A., & de Magalhaes, J. P. (2022). Machine learning-based predictions of dietary restriction associations across ageing-related genes. BMC BIOINFORMATICS, 23(1). doi:10.1186/s12859-021-04523-8DOI: 10.1186/s12859-021-04523-8
Correction to: Ophthalmic Medical Image Analysis (Chapter)
Antony, B., Fu, H., Lee, C. S., MacGillivray, T., Xu, Y., & Zheng, Y. (2022). Correction to: Ophthalmic Medical Image Analysis. In Ophthalmic Medical Image Analysis (pp. C1). Springer International Publishing. doi:10.1007/978-3-031-16525-2_21DOI: 10.1007/978-3-031-16525-2_21
Zhang, H., Meng, Y., Zhao, Y., Qiao, Y., Yang, X., Coupland, S. E., & Zheng, Y. (2022). DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification. In 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022) (pp. 18780-18790). doi:10.1109/CVPR52688.2022.01824DOI: 10.1109/CVPR52688.2022.01824
Diagnosis of Diabetic Neuropathy by Artificial Intelligence using Corneal Confocal Microscopy (Conference Paper)
Meng, Y., Ferdousi, M., Petropoulos, I. N., Malik, R. A., Zhao, Y., Alam, U., & Zheng, Y. (2022). Diagnosis of Diabetic Neuropathy by Artificial Intelligence using Corneal Confocal Microscopy. In EUROPEAN JOURNAL OF OPHTHALMOLOGY Vol. 32 (pp. 11-12). Retrieved from https://www.webofscience.com/
Romano, V., Steger, B., Ahmad, M., Coco, G., Pagano, L., Ahmad, S., . . . Kaye, S. B. (2022). Imaging of vascular abnormalities in ocular surface disease. SURVEY OF OPHTHALMOLOGY, 67(1), 31-51. doi:10.1016/j.survophthal.2021.05.001DOI: 10.1016/j.survophthal.2021.05.001
LiveOCT: An ultrahigh axial resolution line-field spectral domain optical coherence tomography system (Conference Paper)
Lawman, S., Mason, S., Kaye, S., Shen, Y. C., & Zheng, Y. (2022). LiveOCT: An ultrahigh axial resolution line-field spectral domain optical coherence tomography system. In Optics InfoBase Conference Papers.
Hamill, B., Peto, T., Gao, D., Patri, G., Madhusudhan, S., Zheng, Y., . . . Jamison, C. (2022). Optic disc features in UKBIOBANK (UKBB) and the novel deep learning (DL) algorithm for automated prediction of cup-disc ratio (CDR) from colour fundus (CF) images. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 63. Retrieved from https://www.webofscience.com/
Preface (Book)
Antony, B., Fu, H., Lee, C. S., Macgillivray, T., Xu, Y., & Zheng, Y. (2022). Preface (Vol. 13576 LNCS).
Aldosari, H., Coenen, F., Lip, G. Y. H., & Zheng, Y. (2022). Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram. In International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings Vol. 1 (pp. 19-28).
2021
Nicholls, D., Wells, J., Stevens, A., Zheng, Y., Castagna, J., & Browning, N. D. (2022). Sub-Sampled Imaging for STEM: Maximising Image Speed, Resolution and Precision Through Reconstruction Parameter Refinement. Ultramicroscopy, 233, 113451. doi:10.1016/j.ultramic.2021.113451DOI: 10.1016/j.ultramic.2021.113451
Hao, J., Xie, J., Liu, R., Hao, H., Ma, Y., Yan, K., . . . Zhao, Y. (2021). Automatic Sequence-Based Network for Lung Diseases Detection in Chest CT. FRONTIERS IN ONCOLOGY, 11. doi:10.3389/fonc.2021.781798DOI: 10.3389/fonc.2021.781798
Preston, F. G., Meng, Y., Burgess, J., Ferdousi, M., Azmi, S., Petropoulos, I. N., . . . Alam, U. (2021). Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes. DIABETOLOGIA. doi:10.1007/s00125-021-05617-xDOI: 10.1007/s00125-021-05617-x
Meng, Y., Zhang, H., Gao, D., Zhao, Y., Yang, X., Qian, X., . . . Zheng, Y. (2021). BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation. Retrieved from http://arxiv.org/abs/2110.14775v2
Yang, X., Zhang, Z., Li, X., Zheng, Y., & Shen, Y. (2021). Remote radar-camera vital sign monitoring system using a graph-based extraction algorithm. In 2021 46TH INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER AND TERAHERTZ WAVES (IRMMW-THZ). doi:10.1109/IRMMW-THz50926.2021.9566987DOI: 10.1109/IRMMW-THz50926.2021.9566987
Meng, Y., Zhang, H., Zhao, Y., Yang, X., Qian, X., Huang, X., & Zheng, Y. (2021). Spatial Uncertainty-Aware Semi-Supervised Crowd Counting. In 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021) (pp. 15529-15539). doi:10.1109/ICCV48922.2021.01526DOI: 10.1109/ICCV48922.2021.01526
Chen, X., Zhao, J., Iselin, K. C., Borroni, D., Romano, D., Gokul, A., . . . Zheng, Y. (2021). Keratoconus detection of changes using deep learning of colour-coded maps. BMJ Open Ophthalmology, 6(1), e000824. doi:10.1136/bmjophth-2021-000824DOI: 10.1136/bmjophth-2021-000824
Maunz, A., Benmansour, F., Li, Y., Albrecht, T., Zhang, Y. -P., Arcadu, F., . . . Sahni, J. (2021). Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography. JOURNAL OF PERSONALIZED MEDICINE, 11(6). doi:10.3390/jpm11060524DOI: 10.3390/jpm11060524
Halim, S., Nugawela, M., Chakravarthy, U., Peto, T., Madhusudhan, S., Lenfestey, P., . . . Sivaprasad, S. (2021). Topographical Response of Retinal Neovascularization to Aflibercept or Panretinal Photocoagulation in Proliferative Diabetic Retinopathy Post Hoc Analysis of the CLARITY Randomized Clinical Trial. JAMA OPHTHALMOLOGY, 139(5), 501-507. doi:10.1001/jamaophthalmol.2021.0108DOI: 10.1001/jamaophthalmol.2021.0108
Yu, S., Xie, J., Hao, J., Zheng, Y., Zhang, J., Hu, Y., . . . Zhao, Y. (2021). 3D VESSEL RECONSTRUCTION IN OCT-ANGIOGRAPHY VIA DEPTH MAP ESTIMATION. In 2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) (pp. 1609-1613). doi:10.1109/ISBI48211.2021.9434042DOI: 10.1109/ISBI48211.2021.9434042
Chen, X., Luo, X., Wang, G., & Zheng, Y. (2021). DEEP ELASTICA FOR IMAGE SEGMENTATION. In 2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) (pp. 706-710). doi:10.1109/ISBI48211.2021.9433886DOI: 10.1109/ISBI48211.2021.9433886
Kaye, S. (2021). Predictive Association of Pre-Operative Defect Areas in the Outer Retinal Layers With Visual Acuity in Macular Hole Surgery. Translational Vision Science and Technology. doi:10.1167/tvst.10.4.7DOI: 10.1167/tvst.10.4.7
Ma, Y., Hao, H., Xie, J., Fu, H., Zhang, J., Yang, J., . . . Zhao, Y. (2021). ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. IEEE TRANSACTIONS ON MEDICAL IMAGING, 40(3), 928-939. doi:10.1109/TMI.2020.3042802DOI: 10.1109/TMI.2020.3042802
Petzold, A., Chua, S. Y. L., Khawaja, A. P., Keane, P. A., Khaw, P. T., Reisman, C., . . . UK Biobank Eye and Vision Consortium. (2021). Retinal asymmetry in multiple sclerosis.. Brain : a journal of neurology, 144(1), 224-235. doi:10.1093/brain/awaa361DOI: 10.1093/brain/awaa361
Aldosari, H., Coenen, F., Lip, G. Y. H., & Zheng, Y. (2021). Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification. In ARTIFICIAL INTELLIGENCE XXXVIII Vol. 13101 (pp. 254-266). doi:10.1007/978-3-030-91100-3_21DOI: 10.1007/978-3-030-91100-3_21
Mou, L., Zhao, Y., Fu, H., Liu, Y., Cheng, J., Zheng, Y., . . . Liu, J. (2021). CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. MEDICAL IMAGE ANALYSIS, 67. doi:10.1016/j.media.2020.101874DOI: 10.1016/j.media.2020.101874
Yu, S., Liu, Y., Zhang, J., Xie, J., Zheng, Y., Liu, J., & Zhao, Y. (2021). Cross-Domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT VIII Vol. 12908 (pp. 13-23). doi:10.1007/978-3-030-87237-3_2DOI: 10.1007/978-3-030-87237-3_2
Bridge, J., Harding, S., & Zheng, Y. (2021). End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease Progression with Uneven Time Intervals. In Unknown Conference (pp. 517-531). Springer International Publishing. doi:10.1007/978-3-030-80432-9_38DOI: 10.1007/978-3-030-80432-9_38
Zhao, J., Zhang, J., Deng, B., Zheng, Y., Liu, J., Song, R., & Zhao, Y. (2021). Guided Adversarial Adaptation Network for Retinal and Choroidal Layer Segmentation. In Unknown Conference (pp. 82-91). Springer International Publishing. doi:10.1007/978-3-030-87000-3_9DOI: 10.1007/978-3-030-87000-3_9
Chen, X., Meng, Y., Zhao, Y., Williams, R., Vallabhaneni, S. R., & Zheng, Y. (2021). Learning Unsupervised Parameter-Specific Affine Transformation for Medical Images Registration. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT IV Vol. 12904 (pp. 24-34). doi:10.1007/978-3-030-87202-1_3DOI: 10.1007/978-3-030-87202-1_3
Aldosari, H., Coenen, F., Lip, G. Y. H., & Zheng, Y. (2021). Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY (DAWAK 2021) Vol. 12925 (pp. 235-241). doi:10.1007/978-3-030-86534-4_22DOI: 10.1007/978-3-030-86534-4_22
Preface (Book)
Fu, H., Garvin, M. K., Macgillivray, T., Xu, Y., & Zheng, Y. (2021). Preface (Vol. 12970 LNCS).
Deng, K., Meng, Y., Gao, D., Bridge, J., Shen, Y., Lip, G., . . . Zheng, Y. (2021). TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography. In SIMPLIFYING MEDICAL ULTRASOUND Vol. 12967 (pp. 63-72). doi:10.1007/978-3-030-87583-1_7DOI: 10.1007/978-3-030-87583-1_7
2020
Li, X., Lawman, S., Williams, B. M., Ye, S., Shen, Y., & Zheng, Y. (2020). Simultaneous optical coherence tomography and Scheimpflug imaging using the same incident light. Optics Express, 28(26), 39660. doi:10.1364/oe.405643DOI: 10.1364/oe.405643
Zhao, Y., Zhang, J., Pereira, E., Zheng, Y., Su, P., Xie, J., . . . Liu, Y. (2020). Corrections to “Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy”. IEEE TRANSACTIONS ON MEDICAL IMAGING, 39(11), 3758. doi:10.1109/TMI.2020.3023201DOI: 10.1109/TMI.2020.3023201
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-2020-000569DOI: 10.1136/bmjophth-2020-000569
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_64DOI: 10.1007/978-3-030-59713-9_64
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.9.2.50DOI: 10.1167/tvst.9.2.50
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.14431DOI: 10.1002/mp.14431
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, 1. doi:10.1109/jbhi.2020.3012383DOI: 10.1109/jbhi.2020.3012383
Zhu, W., Ku, J. Y., Zheng, Y., Knox, P. C., Kolamunnage-Dona, R., & Czanner, G. (2020). Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model. JOURNAL OF IMAGING, 6(6). doi:10.3390/jimaging6060044DOI: 10.3390/jimaging6060044
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, 24(12), 3480-3490. doi:10.1109/jbhi.2020.2997381DOI: 10.1109/jbhi.2020.2997381
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.2020.2974499DOI: 10.1109/tmi.2020.2974499
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(2), 419-430. doi:10.1007/s00125-019-05023-4DOI: 10.1007/s00125-019-05023-4
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.2019.2926492DOI: 10.1109/TMI.2019.2926492
Gao, D., Celik, N., wu, X., Williams, B., Stylianides, A., & Zheng, Y. (2020). A novel deep learning based OCTA de-striping method.
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_39DOI: 10.1007/978-3-030-39343-4_39
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_42DOI: 10.1007/978-3-030-39343-4_42
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_12DOI: 10.1007/978-3-030-39343-4_12
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_36DOI: 10.1007/978-3-030-39343-4_36
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.2019.00870DOI: 10.1109/cvpr.2019.00870
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/s42003-019-0729-3DOI: 10.1038/s42003-019-0729-3
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_37DOI: 10.1007/978-3-030-39343-4_37
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_35DOI: 10.1007/978-3-030-59719-1_35
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_12DOI: 10.1007/978-3-030-59725-2_12
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 J. Biomed. Health Informatics, 24, 3480-3490.
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 https://www.webofscience.com/
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_19DOI: 10.1007/978-3-030-39343-4_19
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 https://www.webofscience.com/
Medical Image Understanding and Analysis (Book)
Zheng, Y., Williams, B. M., & Chen, K. (2020). Preface (Vol. 1065 CCIS).
Preface (Book)
Fu, H., Macgillivray, T., Zheng, Y., Garvin, M. K., & Xu, Y. (2020). Preface (Vol. 12069 LNCS).
Meng, Y., Meng, W., Gao, D., Zhao, Y., Yang, X., Huang, X., & Zheng, Y. (2020). Regression of Instance Boundary by Aggregated CNN and GCN. In Unknown Conference (pp. 190-207). Springer International Publishing. doi:10.1007/978-3-030-58598-3_12DOI: 10.1007/978-3-030-58598-3_12
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 MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2019 Vol. 1065 (pp. 114-126). doi:10.1007/978-3-030-39343-4_10DOI: 10.1007/978-3-030-39343-4_10
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). doi:10.1136/bmjophth-2020-000479DOI: 10.1136/bmjophth-2020-000479
2019
Chua, S. Y. L., Dhillon, B., Aslam, T., Balaskas, K., Yang, Q., Keane, P. A., . . . Tapp, R. (2019). Associations with photoreceptor thickness measures in the UK Biobank. SCIENTIFIC REPORTS, 9. doi:10.1038/s41598-019-55484-1DOI: 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.
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/s42003-019-0387-5DOI: 10.1038/s42003-019-0387-5
Zhang, B., Shweikh, Y., Khawaja, A. P., Gallacher, J., Bauermeister, S., Foster, P. J., . . . Zheng, Y. (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.2019.06.029DOI: 10.1016/j.ophtha.2019.06.029
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_80DOI: 10.1007/978-3-030-32239-7_80
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_2DOI: 10.1007/978-3-030-32251-9_2
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_1DOI: 10.1007/978-3-030-32956-3_1
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.13746DOI: 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:10.1101/767418DOI: 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:10.1117/12.2527041DOI: 10.1117/12.2527041
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.2019.01190DOI: 10.1109/cvpr.2019.01190
Shen, Y. (2019). Sub-surface imaging of soiled cotton fabric using full-field optical coherence tomography. Optics Express.
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/coatings9050326DOI: 10.3390/coatings9050326
Zheng, Y., Yao, H., Shen, Y., Zhao, Y., & Williams, B. (2019). Fully Convolutional Segmentation of Corneal Limbus and Foveal Blood Vessels in Fluorescein Angiography. Poster session presented at the meeting of Unknown Conference. Retrieved from https://www.webofscience.com/
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 https://www.webofscience.com/
Zheng, Y., Zhao, Y., Chen, X., Gao, D., Bridge, J., Zhu, W., & Williams, B. (2019). Fully automatic localisation of the optic disc using YOLO in colour fundus photographs. Poster session presented at the meeting of Unknown Conference. Retrieved from https://www.webofscience.com/
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/s41598-019-42789-4DOI: 10.1038/s41598-019-42789-4
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.0215056DOI: 10.1371/journal.pone.0215056
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.0212548DOI: 10.1371/journal.pone.0212548
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-2018-025077DOI: 10.1136/bmjopen-2018-025077
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:10.1080/09273948.2017.1387276DOI: 10.1080/09273948.2017.1387276
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.0209409DOI: 10.1371/journal.pone.0209409
Drusen and macular degeneration (Chapter)
Williams, B. M., Burgess, P. I., & Zheng, Y. (2019). Drusen and macular degeneration. In COMPUTATIONAL RETINAL IMAGE ANALYSIS: TOOLS, APPLICATIONS AND PERSPECTIVES (pp. 245-272). doi:10.1016/B978-0-08-102816-2.00013-7DOI: 10.1016/B978-0-08-102816-2.00013-7
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 https://www.webofscience.com/
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).
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 https://www.webofscience.com/
Chen, X., Williams, B. M., Vallabhaneni, S. R., Czanner, G., Williams, R., & Zheng, Y. (2019). Learning Active Contour Models for Medical Image Segmentation.. In CVPR (pp. 11632-11640). Computer Vision Foundation / IEEE.
2018
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.
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.
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.
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.
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.
Xie, J., Zhao, Y., Zheng, Y., Su, P., Liu, J., & Wang, Y. (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 https://www.webofscience.com/
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.32208DOI: 10.7554/eLife.32208
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/sym10040087DOI: 10.3390/sym10040087
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:10.1117/12.2286159DOI: 10.1117/12.2286159
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.17-22035DOI: 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.
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.2017.2756073DOI: 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:10.1080/02713683.2017.1387273DOI: 10.1080/02713683.2017.1387273
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.2017.09.008DOI: 10.1016/j.bspc.2017.09.008
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 https://www.webofscience.com/
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 https://www.webofscience.com/
Pratt, H., Williams, B. M., Ku, J. Y., Vas, C., McCann, E., Al-Bander, B., . . . Zheng, Y. (2018). Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. JOURNAL OF IMAGING, 4(1). doi:10.3390/jimaging4010004DOI: 10.3390/jimaging4010004
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 https://www.webofscience.com/
2017
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_47DOI: 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/
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/s13042-016-0573-4DOI: 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.8.005579DOI: 10.1364/BOE.8.005579
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-xDOI: 10.1038/s41598-017-16620-x
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.2016.07.077DOI: 10.1016/j.neucom.2016.07.077
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.0185297DOI: 10.1371/journal.pone.0185297
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_22DOI: 10.1007/978-3-319-67561-9_22
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.25.018614DOI: 10.1364/OE.25.018614
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.
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.
Luo, L., Zhao, Y., Yang, J., Zheng, Y., Yang, S., Ai, D., & Wang, Y. (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 https://www.webofscience.com/
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.2016.4DOI: 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 https://www.webofscience.com/
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.
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.2016.12.012DOI: 10.1016/j.xphs.2016.12.012
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/app7040351DOI: 10.3390/app7040351
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 https://www.webofscience.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 https://www.webofscience.com/
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.2016.07.006DOI: 10.1016/j.compmedimag.2016.07.006
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.2016.2593725DOI: 10.1109/TMI.2016.2593725
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 https://www.webofscience.com/
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 https://www.webofscience.com/
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.2016.07.007DOI: 10.1016/j.compmedimag.2016.07.007
2016
Aaij, R., Adeva, B., Adinolfi, M., Ajaltouni, Z., Akar, S., Albrecht, J., . . . Zucchelli, S. (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)036DOI: 10.1007/JHEP03(2017)036
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:10.1177/1748301816660406DOI: 10.1177/1748301816660406
Lin, H., Dong, Y., Pei, C., Williams, B. M., Markl, D., Zheng, Y., . . . Zeitler, J. A. (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 https://www.webofscience.com/
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.
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., . . . Grammer, M. (2016). Cardioversion of Atrial Fibrillation in ENGAGE AF-TIMI 48. CLINICAL CARDIOLOGY, 39(6), 345-346. doi:10.1002/clc.22537DOI: 10.1002/clc.22537
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.24.012395DOI: 10.1364/OE.24.012395
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.55.003695DOI: 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.
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.2015.11.004DOI: 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 https://www.webofscience.com/
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_21DOI: 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. doi:10.1016/j.procs.2016.07.014DOI: 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_19DOI: 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.2015.159DOI: 10.1109/CIT/IUCC/DASC/PICOM.2015.159
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/s40662-015-0011-9DOI: 10.1186/s40662-015-0011-9
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.0000000000000609DOI: 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.0000000000000609DOI: 10.1097/ICO.0000000000000609
Williams, B. M., Chen, K., Harding, S. P., & Zheng, Y. (2015, October 9). A New Method of Blind Deconvolution for Colour Fundus Retinal Images. In Proceedings of the Ophthalmic Medical Image Analysis Second International Workshop. University of Iowa. doi:10.17077/omia.1036DOI: 10.17077/omia.1036
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.15-17077DOI: 10.1167/iovs.15-17077
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.2222-3959.2015.03.09DOI: 10.3980/j.issn.2222-3959.2015.03.09
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/srep11154DOI: 10.1038/srep11154
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/srep10425DOI: 10.1038/srep10425
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.2015.02.012DOI: 10.1016/j.ophtha.2015.02.012
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.0127486DOI: 10.1371/journal.pone.0127486
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.0122332DOI: 10.1371/journal.pone.0122332
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.2015.2409024DOI: 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:10.1155/2015/860263DOI: 10.1155/2015/860263
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 https://www.webofscience.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 https://www.webofscience.com/
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.2013.55DOI: 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., . . . Grammer, M. (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.114.006025DOI: 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.0093624DOI: 10.1371/journal.pone.0093624
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.15.02.09DOI: 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.2013.0155DOI: 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.0093624DOI: 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 https://www.webofscience.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 https://www.webofscience.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 MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 272-284). Retrieved from https://www.webofscience.com/
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.2013.6627757DOI: 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:10.1155/2013/718012DOI: 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:10.1155/2013/841376DOI: 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.13-12614DOI: 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.8.11.2723-2732DOI: 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. (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 https://www.webofscience.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.18.5.056003DOI: 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.18.5.056003DOI: 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.2013.02.004DOI: 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 https://www.webofscience.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 https://www.webofscience.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.2012.07.030DOI: 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.2013.07.02.70DOI: 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.12-9576DOI: 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 https://www.webofscience.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.2012.04.021DOI: 10.1016/j.ajo.2012.04.021
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:10.5402/2012/781653DOI: 10.5402/2012/781653
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.
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.2011.07.002DOI: 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.11-8014DOI: 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.
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.
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 https://www.webofscience.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 https://www.webofscience.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_25DOI: 10.1007/978-0-85729-130-1_25
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_25DOI: 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. (2010). Retinal Image Classification using a Histogram Based Approach. In 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010. Retrieved from https://www.webofscience.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 https://www.webofscience.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 Opthalmology & Visual Science, 51(7), 3653. doi:10.1167/iovs.09-4935DOI: 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 OPHTHALMOLOGY & VISUAL SCIENCE, 51(7), 3653-3659. doi:10.1167/iovs.09-4935DOI: 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:10.1117/12.770630DOI: 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:10.1117/12.770578DOI: 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:10.1117/12.770561DOI: 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. (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.2007.4353322DOI: 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 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 (pp. 4433-4436). doi:10.1109/IEMBS.2007.4353322DOI: 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 J. P. W. Pluim, & J. M. Reinhardt (Eds.), SPIE Proceedings. SPIE. doi:10.1117/12.709711DOI: 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 https://www.webofscience.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:10.1117/12.535151DOI: 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.2003.819927DOI: 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)00182-0DOI: 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. (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 https://www.webofscience.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.
