Publications
Selected publications
- Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (Journal article - 2019)
- Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis (Journal article - 2018)
- Convolutional Neural Networks for Diabetic Retinopathy (Conference Paper - 2016)
- High resolution corneal and single pulse imaging with line field spectral domain optical coherence tomography (Journal article - 2016)
- Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images (Journal article - 2015)
2024
Integrated line-field optical coherence tomography and scheimpflug imaging for corneal imaging
Li, X., Lawman, S., Dong, B., Lin, H., Shen, Y., & Zheng, Y. (2024). Integrated line-field optical coherence tomography and scheimpflug imaging for corneal imaging. Optics and Lasers in Engineering, 182, 108473. doi:10.1016/j.optlaseng.2024.108473
Linking Vascular Structure and Function: Image-Based Virtual Populations of the Retina.
Hernandez, R. J., Madhusudhan, S., Zheng, Y., & El-Bouri, W. K. (2024). Linking Vascular Structure and Function: Image-Based Virtual Populations of the Retina.. Investigative ophthalmology & visual science, 65(4), 40. doi:10.1167/iovs.65.4.40
Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment.
Meng, Y., Zhang, Y., Xie, J., Duan, J., Joddrell, M., Madhusudhan, S., . . . Zheng, Y. (2024). Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment.. Medical image analysis, 95, 103183. doi:10.1016/j.media.2024.103183
Deep segmentation of OCTA for evaluation and association of changes of retinal microvasculature with Alzheimer's disease and mild cognitive impairment
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-2022-321399
Using Deep Learning to Segment Retinal Vascular Leakage and Occlusion in Retinal Vasculitis.
Dhirachaikulpanich, D., Xie, J., Chen, X., Li, X., Madhusudhan, S., Zheng, Y., & Beare, N. A. V. (2024). Using Deep Learning to Segment Retinal Vascular Leakage and Occlusion in Retinal Vasculitis.. Ocular immunology and inflammation, 1-8. doi:10.1080/09273948.2024.2305185
Self-Guided Adversarial Network for Domain Adaptive Retinal Layer Segmentation
Zhang, J., Lu, C., Song, R., Zheng, Y., Hao, H., Meng, Y., & Zhao, Y. (2024). Self-Guided Adversarial Network for Domain Adaptive Retinal Layer Segmentation. IEEE Transactions on Instrumentation and Measurement, 73, 1-10. doi:10.1109/tim.2024.3440388
Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning
Meng, Y., Zhang, Y., Xie, J., Duan, J., Zhao, Y., & Zheng, Y. (2024). Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning. In Unknown Conference (pp. 98-109). Springer Nature Singapore. doi:10.1007/978-981-99-8558-6_9
2023
Artificial intelligence-enhanced electrocardiogram analysis for identifying cardiac autonomic neuropathy in patients with diabetes
Eye-AD: A Graph-based Model for Early-onset Alzheimer’s Disease and Mild Cognitive Impairment Detection based on Retinal OCTA Images
Linking Structure and Function: Image-Based Virtual Populations of the Retinal Vasculature
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images
A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images
Ibrahim, Y., Xie, J., Macerollo, A., Sardone, R., Shen, Y., Romano, V., & Zheng, Y. (2023). A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images.. Journal of Alzheimer's disease reports, 7(1), 1201-1235. doi:10.3233/adr-230042
A foundation model for generalizable disease detection from retinal images.
Zhou, Y., Chia, M. A., Wagner, S. K., Ayhan, M. S., Williamson, D. J., Struyven, R. R., . . . Keane, P. A. (2023). A foundation model for generalizable disease detection from retinal images.. Nature, 622(7981), 156-163. doi:10.1038/s41586-023-06555-x
Polar-Net: A Clinical-Friendly Model for Alzheimer’s Disease Detection in OCTA Images
Liu, S., Hao, J., Xu, Y., Fu, H., Guo, X., Liu, J., . . . Zhao, Y. (2023). Polar-Net: A Clinical-Friendly Model for Alzheimer’s Disease Detection in OCTA Images. In Unknown Conference (pp. 607-617). Springer Nature Switzerland. doi:10.1007/978-3-031-43990-2_57
Preoperative surgeon evaluation of corneal endothelial status: the Viability Control of Human Endothelial Cells before Keratoplasty (V-CHECK) study protocol.
Airaldi, M., Zheng, Y., Aiello, F., Bachmann, B., Baydoun, L., Ní Dhubhghaill, S., . . . Romano, V. (2023). Preoperative surgeon evaluation of corneal endothelial status: the Viability Control of Human Endothelial Cells before Keratoplasty (V-CHECK) study protocol.. BMJ open ophthalmology, 8(1), e001361. doi:10.1136/bmjophth-2023-001361
Patterns of oral anticoagulant use and outcomes in Asian patients with atrial fibrillation: a post-hoc analysis from the GLORIA-AF Registry.
Romiti, G. F., Corica, B., Proietti, M., Mei, D. A., Frydenlund, J., Bisson, A., . . . GLORIA-AF Investigators. (2023). Patterns of oral anticoagulant use and outcomes in Asian patients with atrial fibrillation: a post-hoc analysis from the GLORIA-AF Registry.. EClinicalMedicine, 63, 102039. doi:10.1016/j.eclinm.2023.102039
RETINAL VASCULITIS SEVERITY ASSESSMENT Intraobserver and Interobserver Reliability of a New Scheme for Grading Wide-Field Fluorescein Angiograms in Retinal Vasculitis
Dhirachaikulpanich, D., Madhusudhan, S., Parry, D., Babiker, S., Zheng, Y., & Beare, N. A. V. (2023). RETINAL VASCULITIS SEVERITY ASSESSMENT Intraobserver and Interobserver Reliability of a New Scheme for Grading Wide-Field Fluorescein Angiograms in Retinal Vasculitis. RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES, 43(9), 1534-1543. doi:10.1097/IAE.0000000000003838
Development and external validation of a mixed-effects deep learning model to diagnose COVID-19 from CT imaging.
Bridge, J., Meng, Y., Zhu, W., Fitzmaurice, T., McCann, C., Addison, C., . . . Zheng, Y. (2023). Development and external validation of a mixed-effects deep learning model to diagnose COVID-19 from CT imaging.. Frontiers in medicine, 10, 1113030. doi:10.3389/fmed.2023.1113030
Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model
Zhang, H., Burrows, L., Meng, Y., Sculthorpe, D., Mukherjee, A., Coupland, S. E., . . . Zheng, Y. (2023). Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. doi:10.1109/cvpr52729.2023.01500
Validating the predictive ability of the 2MACE score for major adverse cardiovascular events in patients with atrial fibrillation: results from phase II/III of the GLORIA-AF registry.
Ding, W. Y., Fawzy, A. M., Romiti, G. F., Proietti, M., Pastori, D., Huisman, M. V., . . . GLORIA-AF Investigators. (2023). Validating the predictive ability of the 2MACE score for major adverse cardiovascular events in patients with atrial fibrillation: results from phase II/III of the GLORIA-AF registry.. Journal of thrombosis and thrombolysis. doi:10.1007/s11239-023-02866-y
Rapid imaging and product screening with low-cost line-field Fourier domain optical coherence tomography.
Zhang, Z., Yang, X., Zhao, Z., Zeng, F., Ye, S., Baldock, S. J., . . . Shen, Y. (2023). Rapid imaging and product screening with low-cost line-field Fourier domain optical coherence tomography.. Scientific reports, 13(1), 10809. doi:10.1038/s41598-023-37646-4
UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases
Warwick, A. N., Curran, K., Hamill, B., Stuart, K., Khawaja, A. P., Foster, P. J., . . . Peto, T. (2023). UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases. In EYE Vol. 37 (pp. 2109-2116). doi:10.1038/s41433-022-02298-7
UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases (Nov, 10.1038/s41433-022-02298-7, 2022)
Warwick, A., Curran, K., Hamill, B., Stuart, K., Khawaja, A. P., Foster, P. J., . . . Peto, T. (2023). UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases (Nov, 10.1038/s41433-022-02298-7, 2022). EYE, 37(10), 2163. doi:10.1038/s41433-022-02377-9
Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK
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). doi:10.1167/tvst.12.5.14
OP-3 The effectiveness of artificial intelligence in annotating and measuring corneal pathology on OCT.
Hart, C., Chen, X., Ahmed, M., McLean, K., Somerville, T., Hulpus, A., . . . Kaye, S. (2023). OP-3 The effectiveness of artificial intelligence in annotating and measuring corneal pathology on OCT.. BMJ open ophthalmology, 8(Suppl 1), A1-A2. doi:10.1136/bmjophth-2023-bcm.3
OP-3 The effectiveness of artificial intelligence in annotating and measuring corneal pathology on OCT.
Hart, C., Chen, X., Ahmed, M., McLean, K., Somerville, T., Hulpus, A., . . . Kaye, S. (2023). OP-3 The effectiveness of artificial intelligence in annotating and measuring corneal pathology on OCT.. In BMJ open ophthalmology Vol. 8 (pp. A1-A2). doi:10.1136/bmjophth-2023-bcm.3
OP-5 Measuring Bowman's layer in the clinic.
Kaye, S., Lawman, S., Undan, A., Madden, A., Pagano, L., Romano, V., . . . Zheng, Y. (2023). OP-5 Measuring Bowman's layer in the clinic.. In BMJ open ophthalmology Vol. 8 (pp. A2). doi:10.1136/bmjophth-2023-bcm.5
Retinal imaging technologies in cerebral malaria: a systematic review.
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/s12936-023-04566-7
Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria and Other Comas by Optical Coherence Tomography (OCT in CM) – A protocol for an observational cohort study of Malawian children
Wilson, K., Tu, Z., Mbale, E., Mhango, P., Kayange, P., Gladstone, M., . . . Beare, N. A. V. (2023). Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria and Other Comas by Optical Coherence Tomography (OCT in CM) – A protocol for an observational cohort study of Malawian children. Wellcome Open Research. doi:10.12688/wellcomeopenres.19166.1
Transportation Object Counting With Graph-Based Adaptive Auxiliary Learning
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.2022.3226504
Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neuropathy: A Binary Classification Model
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/jcm12041284
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning
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.2022.102722
Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks
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.2022.3203318
A systematic review of OCT and OCT angiography in retinal vasculitis.
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/s12348-023-00327-4
The advantages of sub-sampling and Inpainting for scanning transmission electron microscopy
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:10.1063/5.0135245
A multicentre observational cohort study of cardiovascular risk and outcomes following stroke: The Liverpool-Heart And bRain Project (L-HARP)
Harrison, S., Buckley, B., Zheng, Y., Hill, A., Hlaing, T., Davies, R., . . . Eustace, I. (2023). A multicentre observational cohort study of cardiovascular risk and outcomes following stroke: The Liverpool-Heart And bRain Project (L-HARP). In INTERNATIONAL JOURNAL OF STROKE Vol. 18 (pp. 10). Retrieved from https://www.webofscience.com/
Application of Deep Learning Models in the Evaluation of Histopathology of Uveal Melanoma
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_21
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net
Zhang, Y., Meng, Y., & Zheng, Y. (2023). Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net. In Unknown Conference (pp. 49-59). Springer Nature Switzerland. doi:10.1007/978-3-031-31778-1_5
Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification
Aldosari, H., Coenen, F., Lip, G. Y. H., & Zheng, Y. (2023). Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification. In Communications in Computer and Information Science (pp. 3-27). Springer Nature Switzerland. doi:10.1007/978-3-031-43471-6_1
Preface
Antony, B., Fang, H., Lee, C. S., Chen, H., Fu, H., & Zheng, Y. (2023). Preface (Vol. 14096 LNCS).
2022
Retinal Imaging Technologies in Cerebral Malaria: A Systematic Review
Evaluation of Huawei Smart Wearables for Detection of Atrial Fibrillation in Patients Following Ischaemic Stroke: The Liverpool-Huawei Stroke Study
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.2022.12.004
Line Field Optical Coherence Tomography
Lawman, S., Zhang, Z., Shen, Y. -C., & Zheng, Y. (2022). Line Field Optical Coherence Tomography. Photonics, 9(12), 946. doi:10.3390/photonics9120946
Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor
Coenen, F., Aldosari, H., Lip, G., & Zheng, Y. (2022). Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor.
Artificial Intelligence and Corneal Confocal Microscopy: The Start of a Beautiful Relationship
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/jcm11206199
NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation
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_8
Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency
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_50
Editorial: Imaging in Ophthalmology
Ferrara, M., Zheng, Y., & Romano, V. (2022). Editorial: Imaging in Ophthalmology. JOURNAL OF CLINICAL MEDICINE, 11(18). doi:10.3390/jcm11185433
Using a graph-based image segmentation algorithm for remote vital sign estimation and monitoring
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/s41598-022-19198-1
Accurate In Vivo Bowman's Thickness Measurement Using Mirau Ultrahigh Axial Resolution Line Field Optical Coherence Tomography
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.11.8.6
DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity.
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.2022.3156906
Anatomical and functional outcomes of pneumatic vitreolysis for treatment of vitreomacular traction with and without macular holes.
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-y
Informed Consent In Facial Photograph Publishing: A Cross-sectional Pilot Study To Determine The Effectiveness Of Deidentification Methods
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:10.1177/15562646221075459
GENERATION OF ARTIFICIAL RETINAL MICROVASCULAR NETWORKS: VIRTUAL POPULATIONS FOR IN SILICO TRIALS
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.
Artificial intelligence to detect abnormal heart rhythm from scanned electrocardiogram tracings
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/joa3.12707
Correction to: Comparative effectiveness and safety of non-vitamin K antagonists for atrial fibrillation in clinical practice: GLORIA-AF Registry.
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/s00392-022-02021-2
LiveOCT: An ultrahigh axial resolution line-field spectral domain optical coherence tomography system
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 Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN). Optica Publishing Group. doi:10.1364/translational.2022.jtu3a.14
3D Human Pose and Shape Reconstruction from Videos via Confidence-Aware Temporal Feature Aggregation
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.2022.3167887
Bridging the Gap Between Artificial Intelligence Research and Clinical Practice in Cardiovascular Science: What the Clinician Needs to Know
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.2022.07
Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation
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.2021.3123567
Sub-Sampled Imaging for STEM: Maximising Image Speed, Resolution and Precision Through Reconstruction Parameter Refinement
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.2021.113451
Machine learning-based predictions of dietary restriction associations across ageing-related genes
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/s12859-021-04523-8
Correction to: Ophthalmic Medical Image Analysis
Antony, B., Fu, H., Lee, C. S., MacGillivray, T., Xu, Y., & Zheng, Y. (2022). Correction to: Ophthalmic Medical Image Analysis. In Lecture Notes in Computer Science (pp. C1). Springer International Publishing. doi:10.1007/978-3-031-16525-2_21
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
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/CVPR52688.2022.01824
Diagnosis of Diabetic Neuropathy by Artificial Intelligence using Corneal Confocal Microscopy
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/
Imaging of vascular abnormalities in ocular surface disease
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.2021.05.001
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
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
Antony, B., Fu, H., Lee, C. S., Macgillivray, T., Xu, Y., & Zheng, Y. (2022). Preface (Vol. 13576 LNCS).
Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram
Aldosari, H., Coenen, F., Lip, G., & Zheng, Y. (2022). Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 19-28). SCITEPRESS - Science and Technology Publications. doi:10.5220/0011380500003335
2021
Automatic Sequence-Based Network for Lung Diseases Detection in Chest CT
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.2021.781798
Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes
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-x
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation
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
Remote radar-camera vital sign monitoring system using a graph-based extraction algorithm
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-THz50926.2021.9566987
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
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/ICCV48922.2021.01526
Keratoconus detection of changes using deep learning of colour-coded maps
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-2021-000824
Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography
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/jpm11060524
Topographical Response of Retinal Neovascularization to Aflibercept or Panretinal Photocoagulation in Proliferative Diabetic Retinopathy Post Hoc Analysis of the CLARITY Randomized Clinical Trial
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.2021.0108
3D VESSEL RECONSTRUCTION IN OCT-ANGIOGRAPHY VIA DEPTH MAP ESTIMATION
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/ISBI48211.2021.9434042
Deep Elastica for Image Segmentation
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/ISBI48211.2021.9433886
Predictive Association of Pre-Operative Defect Areas in the Outer Retinal Layers With Visual Acuity in Macular Hole Surgery
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.10.4.7
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
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.2020.3042802
Retinal asymmetry in multiple sclerosis.
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/awaa361
A regularization term for slide correlation reduction in whole slide image analysis with deep learning
Zhang, H., Meng, Y., Qian, X., Yang, X., Coupland, S. E., & Zheng, Y. (2021). A regularization term for slide correlation reduction in whole slide image analysis with deep learning. In Proceedings of Machine Learning Research Vol. 143 (pp. 812-824).
Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification
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_21
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation
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. In 32nd British Machine Vision Conference, BMVC 2021.
CS<SUP>2</SUP>-Net: Deep learning segmentation of curvilinear structures in medical imaging
Mou, L., Zhao, Y., Fu, H., Liu, Y., Cheng, J., Zheng, Y., . . . Liu, J. (2021). CS<SUP>2</SUP>-Net: Deep learning segmentation of curvilinear structures in medical imaging. MEDICAL IMAGE ANALYSIS, 67. doi:10.1016/j.media.2020.101874
Cross-Domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography
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_2
End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease Progression with Uneven Time Intervals
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_38
Guided Adversarial Adaptation Network for Retinal and Choroidal Layer Segmentation
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_9
Learning Unsupervised Parameter-Specific Affine Transformation for Medical Images Registration
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_3
Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification
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_22
Preface
Fu, H., Garvin, M. K., Macgillivray, T., Xu, Y., & Zheng, Y. (2021). Preface (Vol. 12970 LNCS).
TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography
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_7
2020
Simultaneous optical coherence tomography and Scheimpflug imaging using the same incident light
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.405643
Corrections to “Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy”
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.2020.3023201
Development and validation of a novel prognostic model for predicting AMD progression using longitudinal fundus images
Bridge, J., Harding, S., & Zheng, Y. (2020). Development and validation of a novel prognostic model for predicting AMD progression using longitudinal fundus images. BMJ Open Ophthalmology, 5(1), e000569. doi:10.1136/bmjophth-2020-000569
Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement
Ma, Y., Liu, Y., Cheng, J., Zheng, Y., Ghahremani, M., Chen, H., . . . Zhao, Y. (2020). Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement. In Unknown Conference (pp. 667-677). Springer International Publishing. doi:10.1007/978-3-030-59713-9_64
Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections
Zhang, H., Kalirai, H., Acha-Sagredo, A., Yang, X., Zheng, Y., & Coupland, S. E. (2020). Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections. Translational Vision Science & Technology, 9(2). doi:10.1167/tvst.9.2.50
Corneal nerve tortuosity grading via ordered weighted averaging-based feature extraction
Su, P., Chen, T., Xie, J., Zheng, Y., Qi, H., Borroni, D., . . . Liu, J. (2020). Corneal nerve tortuosity grading via ordered weighted averaging-based feature extraction. Medical Physics. doi:10.1002/mp.14431
Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models
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.2020.3012383
Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model
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/jimaging6060044
Cooperative low-rank models for removing stripe noise from OCTA images
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.2020.2997381
Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy
Zhao, Y., Liu, J., Liu, Y., Zhang, J., Pereira, E., Zheng, Y., . . . Qi, H. (2020). Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy. IEEE Transactions on Medical Imaging, 1. doi:10.1109/tmi.2020.2974499
An Artificial Intelligence-Based Deep Learning Algorithm for the Diagnosis of Diabetic Neuropathy Using Corneal Confocal Microscopy: A Development and Validation Study
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/s00125-019-05023-4
Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering
Zhao, Y., Xie, J., Zhang, H., Zheng, Y., Zhao, Y., Qi, H., . . . Liu, Y. (2020). Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering. IEEE Transactions on Medical Imaging, 39(2), 341-356. doi:10.1109/TMI.2019.2926492
A novel deep learning based OCTA de-striping method
Gao, D., Celik, N., wu, X., Williams, B., Stylianides, A., & Zheng, Y. (2020). A novel deep learning based OCTA de-striping method.
Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor
Zhao, K., Zhang, H., Zhao, Y., Xie, J., Zheng, Y., Borroni, D., . . . Liu, J. (2020). Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor. In Unknown Conference (pp. 459-469). Springer International Publishing. doi:10.1007/978-3-030-39343-4_39
DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
Bridge, J., Harding, S. P., & Zheng, Y. (2020). DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images. In Unknown Conference (pp. 489-496). Springer International Publishing. doi:10.1007/978-3-030-39343-4_42
Improving Fetal Head Contour Detection by Object Localisation with Deep Learning
Al-Bander, B., Alzahrani, T., Alzahrani, S., Williams, B. M., & Zheng, Y. (2020). Improving Fetal Head Contour Detection by Object Localisation with Deep Learning. In Unknown Conference (pp. 142-150). Springer International Publishing. doi:10.1007/978-3-030-39343-4_12
Joint Destriping and Segmentation of OCTA Images
Wu, X., Gao, D., Williams, B. M., Stylianides, A., Zheng, Y., & Jin, Z. (2020). Joint Destriping and Segmentation of OCTA Images. In Unknown Conference (pp. 423-435). Springer International Publishing. doi:10.1007/978-3-030-39343-4_36
Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering
Xie, J., Zhao, Y., Liu, Y., Su, P., Zhao, Y., Cheng, J., . . . Liu, J. (2020). Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. doi:10.1109/cvpr.2019.00870
Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data
Celik, N., O’Brien, F., Brennan, S., Rainbow, R. D., Dart, C., Zheng, Y., . . . Barrett-Jolley, R. (2020). Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. Communications Biology, 3, 1-10. doi:10.1038/s42003-019-0729-3
AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy
Chen, X., Leak, M., Harding, S. P., & Zheng, Y. (2020). AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy. In Unknown Conference (pp. 439-449). Springer International Publishing. doi:10.1007/978-3-030-39343-4_37
CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation
Meng, Y., Wei, M., Gao, D., Zhao, Y., Yang, X., Huang, X., & Zheng, Y. (2020). CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation. In Unknown Conference (pp. 352-362). Springer International Publishing. doi:10.1007/978-3-030-59719-1_35
Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images
Xie, J., Liu, Y., Zheng, Y., Su, P., Hu, Y., Yang, J., . . . Zhao, Y. (2020). Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images. In Unknown Conference (pp. 117-127). Springer International Publishing. doi:10.1007/978-3-030-59725-2_12
Cooperative Low-Rank Models for Removing Stripe Noise From OCTA Images.
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
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/
Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced Image
Kidsumran, V., & Zheng, Y. (2020). Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced Image. In Unknown Conference (pp. 220-227). Springer International Publishing. doi:10.1007/978-3-030-39343-4_19
Diagnostic accuracy of a machine-learning algorithm to detect and classify choroidal neovascularization based on SD-OCT in neovascular age-related macular degeneration (nAMD)
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
Zheng, Y., Williams, B. M., & Chen, K. (2020). Preface (Vol. 1065 CCIS).
Preface
Fu, H., Macgillivray, T., Zheng, Y., Garvin, M. K., & Xu, Y. (2020). Preface (Vol. 12069 LNCS).
Regression of Instance Boundary by Aggregated CNN and GCN
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_12
Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema
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_10
Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications
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-2020-000479
2019
Associations with photoreceptor thickness measures in the UK Biobank
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/s41598-019-55484-1
Ophthalmic Medical Image Analysis 6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings
Fu, H., Garvin, M. K., MacGillivray, T., Xu, Y., & Zheng, Y. (2019). Ophthalmic Medical Image Analysis 6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings. Springer Nature.
Quantile regression analysis reveals widespread evidence for gene-environment or gene-gene interactions in myopia development
Pozarickij, A., Williams, C., Hysi, P. G., Guggenheim, J. A., Aslam, T., Barman, S. A., . . . Zheng, Y. (2019). Quantile regression analysis reveals widespread evidence for gene-environment or gene-gene interactions in myopia development. Communications Biology, 2(1). doi:10.1038/s42003-019-0387-5
Associations with Corneal Hysteresis in a Population Cohort <i>Results from 96 010 UK Biobank Participants</i>
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 <i>Results from 96 010 UK Biobank Participants</i>. OPHTHALMOLOGY, 126(11), 1500-1510. doi:10.1016/j.ophtha.2019.06.029
CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation
Mou, L., Zhao, Y., Chen, L., Cheng, J., Gu, Z., Hao, H., . . . Liu, J. (2019). CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 (pp. 721-730). Shenzhen, China: Springer. doi:10.1007/978-3-030-32239-7_80
Exploiting Reliability-Guided Aggregation for the Assessment of Curvilinear Structure Tortuosity
Su, P., Zhao, Y., Chen, T., Xie, J., Zhao, Y., Qi, H., . . . Liu, J. (2019). Exploiting Reliability-Guided Aggregation for the Assessment of Curvilinear Structure Tortuosity. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019 Vol. 11767 (pp. 12-20). Shenzhen: Springer International Publishing. doi:10.1007/978-3-030-32251-9_2
Dictionary Learning Informed Deep Neural Network with Application to OCT Images
Bridge, J., Harding, S. P., Zhao, Y., & Zheng, Y. (2019). Dictionary Learning Informed Deep Neural Network with Application to OCT Images. In Unknown Conference (pp. 1-8). Springer International Publishing. doi:10.1007/978-3-030-32956-3_1
Automated retinal lesion detection via image saliency analysis
Yan, Q., Zhao, Y., Zheng, Y., Liu, Y., Zhou, K., Frangi, A., & Liu, J. (2019). Automated retinal lesion detection via image saliency analysis. MEDICAL PHYSICS, 46(10), 4531-4544. doi:10.1002/mp.13746
Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data
Celik, N., O’Brien, F., Brennan, S., Rainbow, R., Dart, C., Zheng, Y., . . . Barrett-Jolley, R. (n.d.). Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. BioRxiv. doi:10.1101/767418
2D transform-domain Fourier filters for eliminating microsaccade noise in <i>en face</i> optical coherence tomography angiography
Yang, J., Fang, L., Hu, Y., Zhao, Y., Zheng, Y., & Liu, J. (2019). 2D transform-domain Fourier filters for eliminating microsaccade noise in <i>en face</i> optical coherence tomography angiography. In OPTICAL COHERENCE IMAGING TECHNIQUES AND IMAGING IN SCATTERING MEDIA III Vol. 11078. doi:10.1117/12.2527041
Learning Active Contour Models for Medical Image Segmentation
Chen, X., Williams, B. M., Vallabhaneni, S. R., Czanner, G., Williams, R., & Zheng, Y. (2019). Learning Active Contour Models for Medical Image Segmentation. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 11624-11632). Long Beach, CA, USA: IEEE. doi:10.1109/cvpr.2019.01190
Sub-surface imaging of soiled cotton fabric using full-field optical coherence tomography
Shen, Y. (2019). Sub-surface imaging of soiled cotton fabric using full-field optical coherence tomography. Optics Express.
Differentiating Generic versus Branded Pharmaceutical Tablets Using Ultra-High-Resolution Optical Coherence Tomography
Zhang, Z., Williams, B., Zheng, Y., Lin, H., & Shen, Y. (2019). Differentiating Generic versus Branded Pharmaceutical Tablets Using Ultra-High-Resolution Optical Coherence Tomography. COATINGS, 9(5). doi:10.3390/coatings9050326
Fully Convolutional Segmentation of Corneal Limbus and Foveal Blood Vessels in Fluorescein Angiography
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/
In-vivo evaluation of corneal collagen fibrils pattern to detect keratoconus
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/
Fully automatic localisation of the optic disc using YOLO in colour fundus photographs
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/
Line-Field Optical Coherence Tomography as a tool for In vitro characterization of corneal biomechanics under physiological pressures
Kazaili, A., Lawman, S., Geraghty, B., Eliasy, A., Zheng, Y., Shen, Y., & Akhtar, R. (2019). Line-Field Optical Coherence Tomography as a tool for In vitro characterization of corneal biomechanics under physiological pressures. Scientific Reports. doi:10.1038/s41598-019-42789-4
Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (vol 14, e0209409, 2019)
MacCormick, I. J. C., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., . . . Czanner, G. (2019). Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (vol 14, e0209409, 2019). PLOS ONE, 14(4). doi:10.1371/journal.pone.0215056
Application of SPF moisturisers is inferior to sunscreens in coverage of facial and eyelid regions
Lourenco, E. A. J., Shaw, L., Pratt, H., Duffy, G. L., Czanner, G., Zheng, Y., . . . McCormick, A. G. (2019). Application of SPF moisturisers is inferior to sunscreens in coverage of facial and eyelid regions. PLOS ONE, 14(4). doi:10.1371/journal.pone.0212548
Cohort profile: design and methods in the eye and vision consortium of UK Biobank.
Chua, S. Y. L., Thomas, D., Allen, N., Lotery, A., Desai, P., Patel, P., . . . UK Biobank Eye & Vision Consortium. (2019). Cohort profile: design and methods in the eye and vision consortium of UK Biobank.. BMJ open, 9(2), e025077. doi:10.1136/bmjopen-2018-025077
Detecting Change in Conjunctival Hyperemia Using a Pixel Densitometry Index
Romano, V., Steger, B., Brunner, M., Kaye, A., Zheng, Y., Willoughby, C. E., & Kaye, S. B. (2019). Detecting Change in Conjunctival Hyperemia Using a Pixel Densitometry Index. OCULAR IMMUNOLOGY AND INFLAMMATION, 27(2), 276-281. doi:10.1080/09273948.2017.1387276
Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
MacCormick, I. J. C., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., . . . Czanner, G. (2019). Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile. PLOS ONE, 14(1). doi:10.1371/journal.pone.0209409
Chapter 13 Drusen and macular degeneration
Williams, B. M., Burgess, P. I., & Zheng, Y. (2019). Chapter 13 Drusen and macular degeneration. In Computational Retinal Image Analysis (pp. 245-272). Elsevier. doi:10.1016/b978-0-08-102816-2.00013-7
Drusen and macular degeneration
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/B978-0-08-102816-2.00013-7
En-face morphometric analysis of the human limbal lymphatic vasculature
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/
Feature visualisation of classification of diabetic retinopathy using a convolutional neural network
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
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/
Learning Active Contour Models for Medical Image Segmentation.
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.
Preface
Zheng, C. (n.d.). Preface. Asian Academic Press Co., Limited. doi:10.24104/rmhe/2017.02.00001
2018
Comparison of optic disc images from two smartphone-based imaging systems in glaucoma patients and suspects
Boonarpha, N., Knox, P. C., Batterbury, M., Rogers, C., & Zheng, Y. (2018). Comparison of optic disc images from two smartphone-based imaging systems in glaucoma patients and suspects. Ophthalmology Journal.
Retinal artery and vein classification via dominant sets clustering based vascular topology estimation
Zhao, Y., Xie, J., Su, P., Zheng, Y., Liu, Y., Cheng, J., & Liu, J. (2018). Retinal artery and vein classification via dominant sets clustering based vascular topology estimation. In Medical Image Computing and Computer Assisted Intervention (MICCAI). Granada, Spain.
Uniqueness-driven saliency analysis for automated lesion detection with applications to retinal diseases
Zhao, Y., Zheng, Y., Zhao, Y., Liu, Y., Chen, Z., Liu, P., & Liu, J. (2018). Uniqueness-driven saliency analysis for automated lesion detection with applications to retinal diseases. In Medical Image Computing and Computer Assisted Intervention (MICCAI). Granada, Spain.
Improving the Resolution of Retinal OCT with Deep Learning
Xu, Y., Williams, B. M., Al-Bander, B., Yan, Z., Shen, Y., & Zheng, Y. (2018). Improving the Resolution of Retinal OCT with Deep Learning. In Medical Image Understanding and Analysis. Southampton.
Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral
Coenen, F. P., Pratt, H., Zheng, Y., Harding, S., Williams, B., & Broadbent, D. (2018). Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral. European Journal of Ophthalmology.
RETINAL VASCULAR TOPOLOGY ESTIMATION VIA DOMINANT SETS CLUSTERING
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/
Neurovascular sequestration in paediatric P. falciparum malaria is visible clinically in the retina
Barrera, V., MacCormick, I. J. C., Czanner, G., Hiscott, P. S., White, V. A., Craig, A. G., . . . Harding, S. P. (2018). Neurovascular sequestration in paediatric P. falciparum malaria is visible clinically in the retina. eLife, 7. doi:10.7554/eLife.32208
Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis
Al-Bander, B., Williams, B. M., Al-Nuaimy, W., Al-Taee, M., Pratt, H., & Zheng, Y. (2018). Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis. Symmetry, 10(4). doi:10.3390/sym10040087
Supercontinuum ultra-high resolution line-field OCT; experimental spectrograph comparison and comparison with current clinical OCT systems by the imaging of a human cornea
Lawman, S., Romano, V., Madden, P. W., Mason, S., Williams, B. M., Zheng, Y., & Shen, Y. -C. (2018). Supercontinuum ultra-high resolution line-field OCT; experimental spectrograph comparison and comparison with current clinical OCT systems by the imaging of a human cornea. In 2ND CANTERBURY CONFERENCE ON OCT WITH EMPHASIS ON BROADBAND OPTICAL SOURCES Vol. 10591. The University of Kent, UK. doi:10.1117/12.2286159
Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography
Brunner, M., Romano, V., Steger, B., Vinciguerra, R., Lawman, S., Williams, B., . . . Kaye, S. B. (2018). Imaging of Corneal Neovascularization: Optical Coherence Tomography Angiography and Fluorescence Angiography. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 59(3), 1263-1269. doi:10.1167/iovs.17-22035
A Novel Choroid Segmentation Method for Retinal Diagnosis Using Deep Learning
Al-Bander, B., Williams, B. M., Al-Taee, M., Al-Nuaimy, W., & Zheng, Y. (2018). A Novel Choroid Segmentation Method for Retinal Diagnosis Using Deep Learning. In Developments in E-Systems Engineering (DeSE). Paris.
Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter
Zhao, Y., Zheng, Y., Liu, Y., Zhao, Y., Luo, L., Yang, S., . . . Liu, J. (2018). Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter. IEEE Transactions on Medical Imaging, 37(2), 438-450. doi:10.1109/TMI.2017.2756073
Identification of Feeder Vessels in Ocular Surface Neoplasia using Indocyanine Green Angiography
Brunner, M., Romano, V., Steger, B., Zheng, Y., & Kaye, S. (n.d.). Identification of Feeder Vessels in Ocular Surface Neoplasia using Indocyanine Green Angiography. Current Eye Research, 43(2), 163-169. doi:10.1080/02713683.2017.1387273
Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc
Al-Bander, B., Al-Nuaimy, W., Williams, B. M., & Zheng, Y. (2018). Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 40, 91-101. doi:10.1016/j.bspc.2017.09.008
Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral
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
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/
Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography
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/jimaging4010004
Building a validated in vivo confocal microscopy (IVCM) dataset for the study of corneal nerves
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
FCNNs: Fourier Convolutional Neural Networks
Pratt, H., Williams, B. M., Coenen, F. P., & Zheng, Y. (2017). FCNNs: Fourier Convolutional Neural Networks. In MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017 Vol. 10534 (pp. 786-798). doi:10.1007/978-3-319-71249-9_47
Automated Glaucoma Diagnosis using Deep Learning Approach
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Zheng, Y., & IEEE. (2017). Automated Glaucoma Diagnosis using Deep Learning Approach. In 2017 14TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) (pp. 207-210). Retrieved from http://gateway.webofknowledge.com/
A compactness based saliency approach for leakages detection in fluorescein angiogram
Zhao, Y., Su, P., Yang, J., Zhao, Y., Zheng, Y., & Wang, Y. (2017). A compactness based saliency approach for leakages detection in fluorescein angiogram. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 8(6), 1971-1979. doi:10.1007/s13042-016-0573-4
Deformation velocity imaging using optical coherence tomography and its applications to the cornea
Lawman, S., Madden, P. W., Romano, V., Dong, Y., Mason, S., Williams, B., . . . Zheng, Y. (2017). Deformation velocity imaging using optical coherence tomography and its applications to the cornea. Biomedical Optics Express, 8(12), 5579-5593. doi:10.1364/BOE.8.005579
Spatial statistical modelling of capillary non-perfusion in the retina
MacCormick, I., Zheng, Y., Czanner, S., Zhao, Y., Diggle, P., Harding, S., & Czanner, G. (2017). Spatial statistical modelling of capillary non-perfusion in the retina. Scientific Reports, 7. doi:10.1038/s41598-017-16620-x
Saliency driven vasculature segmentation with infinite perimeter active contour model
Zhao, Y., Zhao, J., Yang, J., Liu, Y., Zhao, Y., Zheng, Y., . . . Wang, Y. (2017). Saliency driven vasculature segmentation with infinite perimeter active contour model. NEUROCOMPUTING, 259, 201-209. doi:10.1016/j.neucom.2016.07.077
UV imaging reveals facial areas that are prone to skin cancer are disproportionately missed during sunscreen application
Pratt, H., Hassanin, K., Troughton, L. D., Czanner, G., Zheng, Y., McCormick, A. G., & Hamill, K. J. (2017). UV imaging reveals facial areas that are prone to skin cancer are disproportionately missed during sunscreen application. PLOS ONE, 12(10). doi:10.1371/journal.pone.0185297
Fast blur detection and parametric deconvolution of retinal fundus images
Williams, B. M., Al-Bander, B., Pratt, H., Lawman, S., Zhao, Y., Zheng, Y., & Shen, Y. (2017). Fast blur detection and parametric deconvolution of retinal fundus images. In MICCAI - Ophthalmic Medical Image Analysis 4. Quebec. doi:10.1007/978-3-319-67561-9_22
Non-destructive Analysis of Flake Properties in Automotive Paints with Full-field Optical Coherence Tomography and 3D Segmentation
Zhang, J., Williams, B. M., Lawman, S., Atkinson, D., Zhang, Z., Shen, Y. C., & Zheng, Y. (2017). Non-destructive Analysis of Flake Properties in Automotive Paints with Full-field Optical Coherence Tomography and 3D Segmentation. Optics Express, 25(16), 18614-18628. doi:10.1364/OE.25.018614
Applications of optical coherence tomography in the non-contact assessment of automotive paints
Lawman., Zhang, J., williams, B. M., zheng, Y., & shen, Y. (2017). Applications of optical coherence tomography in the non-contact assessment of automotive paints. In Proceedings of SPIE - The International Society for Optical Engineering. Munich, Germany.
Automatic detection and identification of retinal vessel junctions in colour fundus photography
Pratt, H., Williams, B. M., Ku, J., Coenen, F., & Zheng, Y. (2017). Automatic detection and identification of retinal vessel junctions in colour fundus photography. In Medical Image Understanding and Analysis (MIUA). Edinburgh.
CEREBRAL VASCULAR ENHANCEMENT USING A WEIGHTED 3D SYMMETRY FILTER
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/
Automatic Feature Learning Method for Detection of Retinal Landmarks
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Al-Ataby, A., & Zheng, Y. (2016). Automatic Feature Learning Method for Detection of Retinal Landmarks. In 2016 9TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2016) (pp. 13-18). doi:10.1109/DeSE.2016.4
Computer aided diagnosis of age-related macular degeneration in 3D OCT images by deep learning
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/
Automatic Segmentation of the Choroid in EDI-OCT Images using Clustering and Deep Learning
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
Lawman., Shen, Y. C., Zheng, Y., & Williams, B. M. (2017, April 3). PCT/GB2017/050934, Optical Interferometry Apparatus and Method. PCT.
Measurement of the Intertablet Coating Uniformity of a Pharmaceutical Pan Coating Process With Combined Terahertz and Optical Coherence Tomography In-Line Sensing
Lin, H., Dong, Y., Markl, D., Williams, B. M., Zheng, Y., Shen, Y., & Zeitler, J. A. (2017). Measurement of the Intertablet Coating Uniformity of a Pharmaceutical Pan Coating Process With Combined Terahertz and Optical Coherence Tomography In-Line Sensing. JOURNAL OF PHARMACEUTICAL SCIENCES, 106(4), 1075-1084. doi:10.1016/j.xphs.2016.12.012
Scan-Less Line Field Optical Coherence Tomography, with Automatic Image Segmentation, as a Measurement Tool for Automotive Coatings
Lawman, S., Williams, B. M., Zhang, J., Shen, Y. -C., & Zheng, Y. (2017). Scan-Less Line Field Optical Coherence Tomography, with Automatic Image Segmentation, as a Measurement Tool for Automotive Coatings. APPLIED SCIENCES-BASEL, 7(4). doi:10.3390/app7040351
Intra-retinal Layers Segmentation of Macular OCT Images Based on the Graph Optimal Approach
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
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/
Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach.
Gao, Z., Bu, W., Zheng, Y., & Wu, X. (2017). Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 55, 42-53. doi:10.1016/j.compmedimag.2016.07.006
Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy
Zhao, Y., Zheng, Y., Liu, Y., Yang, J., Zhao, Y., Chen, D., & Wang, Y. (2017). Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy. IEEE TRANSACTIONS ON MEDICAL IMAGING, 36(1), 51-63. doi:10.1109/TMI.2016.2593725
Spatial distribution modelling of retinal lesions with application to retinal capillary non-perfusion in malarial retinopathy.
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/
Ultraviolet imaging reveals that areas on the face that are prone to skin cancer are disproportionately missed during sunscreen application
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/
Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration
Albarrak, A., Coenen, F., & Zheng, Y. (2017). Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 55, 113-123. doi:10.1016/j.compmedimag.2016.07.007
2016
Measurement of the ratio of branching fractions and difference in CP asymmetries of the decays B<SUP>+</SUP> → J/ψπ<SUP>+</SUP> and B<SUP>+</SUP> → J/ψK<SUP>+</SUP>
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<SUP>+</SUP> → J/ψπ<SUP>+</SUP> and B<SUP>+</SUP> → J/ψK<SUP>+</SUP>. JOURNAL OF HIGH ENERGY PHYSICS, (3). doi:10.1007/JHEP03(2017)036
An effective variational model for simultaneous reconstruction and segmentation of blurred images
Williams, B. M., Spencer, J. A., Chen, K., Zheng, Y., & Harding, S. (2016). An effective variational model for simultaneous reconstruction and segmentation of blurred images. JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY, 10(4), 244-264. doi:10.1177/1748301816660406
Studying the Pharmaceutical Film Coating Process with Terahertz Sensing, Optical Coherence Tomography and Numerical Modelling
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/
Glaucoma diagnosis using feature learning based on convolutional neural network
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.
Diabetic Macular Edema Grading Based on Deep Neural Networks
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Williams, B. M., & Zheng, Y. (2016, October 21). Diabetic Macular Edema Grading Based on Deep Neural Networks. In Proceedings of the Ophthalmic Medical Image Analysis Third International Workshop. University of Iowa. doi:10.17077/omia.1055
Building a New Full-field Optical Coherence Tomography (FF-OCT) for Measuring the Shape and Power of the Corneal Surface
Zhang, J., Williams, B. M., Shen, Y., Kaye, S., & Zheng, Y. (2016). Building a New Full-field Optical Coherence Tomography (FF-OCT) for Measuring the Shape and Power of the Corneal Surface. Poster session presented at the meeting of MRC Festival of Medical Research. University of Liverpool.
Automatic Enhancement & Analysis of Corneal Data from Ultra-High Resolution Optical Coherence Tomography (OCT)
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
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.22537
High resolution corneal and single pulse imaging with line field spectral domain optical coherence tomography
Lawman, S., Dong, Y., Williams, B. M., Romano, V., Kaye, S., Harding, S. P., . . . Zheng, Y. (2016). High Resolution Corneal and Single Pulse Imaging with Line Field Spectral Domain Optical Coherence Tomography. Optics Express, 24(11), 12395-12405. doi:10.1364/OE.24.012395
Nondestructive analysis of automotive paints with spectral domain optical coherence tomography
Dong, Y., Lawman, S., Zheng, Y., Williams, D., Zhang, J., & Shen, Y. -C. (2016). Nondestructive analysis of automotive paints with spectral domain optical coherence tomography. APPLIED OPTICS, 55(13), 3695-3700. doi:10.1364/AO.55.003695
Leakage detection on diabetic retinopathy by using saliency
Zhao, Y., Yang, J., Zheng, Y., & Wang, Y. (2016). Leakage detection on diabetic retinopathy by using saliency. In International Symposium on Biomedical Imaging (ISBI'16). Prague, Czech.
Reconstruction of 3D Surface Maps from Anterior Segment Optical Coherence Tomography Images Using Graph Theory and Genetic Algorithms
Williams, D., Zheng, Y., Davey, P. G., Bao, F., Shen, M., & Elsheikh, A. (2016). Reconstruction of 3D Surface Maps from Anterior Segment Optical Coherence Tomography Images Using Graph Theory and Genetic Algorithms. Biomedical Signal Processing and Control, 25, 91-98. doi:10.1016/j.bspc.2015.11.004
AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS
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
Yang, Y., Bu, W., Wang, K., Zheng, Y., & Wu, X. (2016). Automated Artery-Vein Classification in Fundus Color Images. In Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016 Vol. 623 (pp. 228-237). Harbin, China: Springer Singapore. doi:10.1007/978-981-10-2053-7_21
Convolutional Neural Networks for Diabetic Retinopathy
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.2016.07.014
Robust Face Frontalization in Unconstrained Images
Zhang, Y., Qian, J., & Yang, J. (2016). Robust Face Frontalization in Unconstrained Images. In PATTERN RECOGNITION (CCPR 2016), PT I Vol. 662 (pp. 225-233). doi:10.1007/978-981-10-3002-4_19
2015
The Application of Full-Field Optical Coherence Tomography on Evaluating Film Coating of Pharmaceutical Pellets
Zhang, J., Shen, Y., & Zheng, Y. (2015). The Application of Full-Field Optical Coherence Tomography on Evaluating Film Coating of Pharmaceutical Pellets. In CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING (pp. 1047-1051). doi:10.1109/CIT/IUCC/DASC/PICOM.2015.159
Fast segmentation of anterior segment optical coherence tomography images using graph cut
Williams, D., Zheng, Y., Bao, F., & Elsheikh, A. (2015). Fast segmentation of anterior segment optical coherence tomography images using graph cut. EYE AND VISION, 2. doi:10.1186/s40662-015-0011-9
Angiographic and in vivo confocal microscopic characterization of human corneal blood and presumed lymphatic neovascularization: A pilot study
Romano, V., Steger, B., Zheng, Y., Ahmad, S., Willoughby, C. E., & Kaye, S. B. (2015). Angiographic and in vivo confocal microscopic characterization of human corneal blood and presumed lymphatic neovascularization: A pilot study. Cornea, 34(11), 1459-1465. doi:10.1097/ICO.0000000000000609
Angiographic and In Vivo Confocal Microscopic Characterization of Human Corneal Blood and Presumed Lymphatic Neovascularization: A Pilot Study
Romano, V., Steger, B., Zheng, Y., Ahmad, S., Willoughby, C. E., & Kaye, S. B. (2015). Angiographic and In Vivo Confocal Microscopic Characterization of Human Corneal Blood and Presumed Lymphatic Neovascularization: A Pilot Study. CORNEA, 34(11), 1459-1465. doi:10.1097/ICO.0000000000000609
A New Method of Blind Deconvolution for Colour Fundus Retinal Images
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 (pp. 129-136). University of Iowa. doi:10.17077/omia.1036
Pharmacokinetics of Meropenem for Use in Bacterial Keratitis
Sueke, H., Kaye, S., Wilkinson, M. C., Kennedy, S., Kearns, V., Zheng, Y., . . . Neal, T. (2015). Pharmacokinetics of Meropenem for Use in Bacterial Keratitis. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 56(10), 5731-5738. doi:10.1167/iovs.15-17077
Retinal Fundus Image Deconvolution
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
Boonarpha, N., Zheng, Y., Stangos, A. N., Lu, H., Raj, A., Czanner, G., . . . Nair-Sahni, J. (2015). Standardization of choroidal thickness measurements using enhanced depth imaging optical coherence tomography. INTERNATIONAL JOURNAL OF OPHTHALMOLOGY, 8(3), 484-491. doi:10.3980/j.issn.2222-3959.2015.03.09
Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy
Zhao, Y., MacCormick, I., Parry, D., Beare, N., Harding, S., & Zheng, Y. (2015). Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy. Scientific Reports, 5. doi:10.1038/srep11154
Automated detection of leakage in fluorescein angiography images with application to malarial retinopathy
Zhao, Y., MacCormick, I. J. C., Parry, D., Leach, S., Beare, N. A. V., Harding, S., & Zheng, Y. (2015). Automated Detection of Leakage in Fluorescein Angiography Images with Application to Malarial Retinopathy. Scientific Reports, 5. doi:10.1038/srep10425
Corneal Angiography for Guiding and Evaluating Fine-Needle Diathermy Treatment of Corneal Neovascularization
Spiteri, N., Romano, V., Zheng, Y., Yadav, S., Dwivedi, R., Chen, J., . . . Kaye, S. B. (2015). Corneal Angiography for Guiding and Evaluating Fine-Needle Diathermy Treatment of Corneal Neovascularization. OPHTHALMOLOGY, 122(6), 1079-1084. doi:10.1016/j.ophtha.2015.02.012
Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase (vol 10, e0122332, 2015)
Zhao, Y., Liu, Y., Wu, X., Harding, S. P., & Zheng, Y. (2015). Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase (vol 10, e0122332, 2015). PLOS ONE, 10(4). doi:10.1371/journal.pone.0127486
Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase
Zhao, Y., Liu, Y., Wu, X., Harding, S., & Zheng, Y. (2015). Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase. PLOS One, 10(4). doi:10.1371/journal.pone.0122332
Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images
Zhao, Y., Rada, L., Chen, K., Harding, S., & Zheng, Y. (2015). Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images. IEEE Transactions on Medical Imaging, 34(9), 1797-1807. doi:10.1109/TMI.2015.2409024
A New Study of Blind Deconvolution with Implicit Incorporation of Nonnegativity Constraints
Chen, K., Harding, S. P., Williams, B. M., & Zheng, Y. (2015). A New Study of Blind Deconvolution with Implicit Incorporation of Nonnegativity Constraints. International Journal of Computational Mathematics, 2015, 1-17. doi:10.1155/2015/860263
Impact of hypertension on choroidal thickness in central serous chorioretinopathy
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
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
Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2013). Age-related Macular Degeneration Screening using Data Mining Approaches. In 2013 FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, MODELLING AND SIMULATION (AIMS 2013) (pp. 299-303). doi:10.1109/AIMS.2013.55
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
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.114.006025
A Comprehensive Texture Segmentation Framework for Segmentation of Capillary Non-Perfusion Regions in Fundus Fluorescein Angiograms
Zheng, Y., Kwong, M. T., MacCormick, I. J. C., Beare, N. A. V., & Harding, S. P. (2014). A Comprehensive Texture Segmentation Framework for Segmentation of Capillary Non-Perfusion Regions in Fundus Fluorescein Angiograms. PLOS ONE, 9(4). doi:10.1371/journal.pone.0093624
Data mining for AMD screening: A classification based approach
Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2014). Data mining for AMD screening: A classification based approach. International Journal of Simulation: Systems, Science and Technology, 15(2), 57-69. doi:10.5013/IJSSST.a.15.02.09
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
Zheng, Y., Currie, L., Pollock, N., Heath, A., Sheridan, C., Choudhary, A., . . . Grierson, I. (2014). Measurement and Computer Modeling of Temporary Arrangements of Polygonal Actin Structures in Trabecular Meshwork Cells Which Consist of Cross-Linked Actin Networks and Polygonal Actin Arrangements. JOURNAL OF OCULAR PHARMACOLOGY AND THERAPEUTICS, 30(2-3), 224-236. doi:10.1089/jop.2013.0155
A Comprehensive Texture Segmentation Framework for Segmentation of Capillary Non-Perfusion Regions in Fundus Fluorescein Angiograms
Zheng, Y., Kwong, M. T., MacCormick, I. J. C., Beare, N. A. V., & Harding, S. P. (n.d.). A Comprehensive Texture Segmentation Framework for Segmentation of Capillary Non-Perfusion Regions in Fundus Fluorescein Angiograms. PLoS ONE, 9(4), e93624. doi:10.1371/journal.pone.0093624
Corneal Pharmacokinetics of Meropenem
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
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
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/
Dictionary Learning-based Volumetric Image Classification for The Diagnosis of Age-related Macular Degeneration.
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
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 Vol. 22 (pp. 11-16). IEEE. doi:10.1109/cbms.2013.6627757
Underwater Environment SDAP Method Using Multi Single-Beam Sonars
Yan, Z., Chi, D., Hou, S., & Zheng, Y. (2013). Underwater Environment SDAP Method Using Multi Single-Beam Sonars. MATHEMATICAL PROBLEMS IN ENGINEERING, 2013. doi:10.1155/2013/718012
Obstacle Avoidance for Unmanned Undersea Vehicle in Unknown Unstructured Environment
Yan, Z., Zhao, Y., Hou, S., Zhang, H., & Zheng, Y. (2013). Obstacle Avoidance for Unmanned Undersea Vehicle in Unknown Unstructured Environment. MATHEMATICAL PROBLEMS IN ENGINEERING, 2013. doi:10.1155/2013/841376
Marginal Corneal Vascular Arcades
Zheng, Y., Kaye, A. E., Boker, A., Stewart, R. K., Tey, A., Ahmad, S., . . . Kaye, S. B. (2013). Marginal Corneal Vascular Arcades. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 54(12), 7470-7477. doi:10.1167/iovs.13-12614
Hierarchical Detection of Hard Exudates in Color Retinal Images
Bu, W., Wu, X., Chen, X., Dai, B., & Zheng, Y. (n.d.). Hierarchical Detection of Hard Exudates in Color Retinal Images. Journal of Software, 8(11). doi:10.4304/jsw.8.11.2723-2732
Automated Segmentation of the Choroid in Retinal Optical Coherence Tomography Images
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
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
Williams, D., Zheng, Y., Bao, F., & Elsheikh, A. (2013). Automatic segmentation of anterior segment optical coherence tomography images. Journal of Biomedical Optics, 18(5), 056003. doi:10.1117/1.jbo.18.5.056003
Automatic segmentation of anterior segment optical coherence tomography images
Williams, D., Zheng, Y., Bao, F., & Elsheikh, A. (2013). Automatic segmentation of anterior segment optical coherence tomography images. In JOURNAL OF BIOMEDICAL OPTICS Vol. 18. doi:10.1117/1.JBO.18.5.056003
A 3D segmentation framework for cornea segmentation in anterior segment OCT images using level set technique with shape prior
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
Zheng, Y., & Chen, K. (2013). A general model for multiphase texture segmentation and its applications to retinal image analysis. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 8(4), 374-381. doi:10.1016/j.bspc.2013.02.004
AUTOMATED DETECTION OF LEAKAGE SITES IN FUNDUS FLUORESCEIN ANGIOGRAPHY FOR DIABETIC MACULOPATHY
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
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.
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
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
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
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
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
Zheng, Y., Sahni, J., Campa, C., Stangos, A. N., Raj, A., & Harding, S. P. (2013). Computerized Assessment of Intraretinal and Subretinal Fluid Regions in Spectral-Domain Optical Coherence Tomography Images of the Retina. AMERICAN JOURNAL OF OPHTHALMOLOGY, 155(2), 277-286. doi:10.1016/j.ajo.2012.07.030
Evaluation of Corneal Vessels
Anijeet, D. R., Tey, A., Zheng, Y., Sueke, H., Ahmed, S., & Kaye, S. B. (2013). Evaluation of Corneal Vessels. European Ophthalmic Review, 07(02), 70. doi:10.17925/eor.2013.07.02.70
Retinal blood vessel detection using multiscale line filter and phase congruency
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
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
Zheng, Y., Hijazi, M. H. A., & Coenen, F. (2012). Automated "Disease/No Disease" Grading of Age-Related Macular Degeneration by an Image Mining Approach. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 53(13), 8310-8318. doi:10.1167/iovs.12-9576
Volumetric Image Mining Based on Decomposition and Graph Analysis: An Application to Retinal Optical Coherence Tomography
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
Kirwan, R. P., Zheng, Y., Tey, A., Anijeet, D., Sueke, H., & Kaye, S. B. (2012). Quantifying Changes in Corneal Neovascularization Using Fluorescein and Indocyanine Green Angiography. AMERICAN JOURNAL OF OPHTHALMOLOGY, 154(5), 850-858. doi:10.1016/j.ajo.2012.04.021
A Hierarchical Algorithm for Multiphase Texture Image Segmentation
Zheng, Y., & Chen, K. (2012). A Hierarchical Algorithm for Multiphase Texture Image Segmentation. ISRN Signal Processing, 2012, 1-11. doi:10.5402/2012/781653
A blind deconvolution model for images corrupted by gaussian blur
Williams, B. M., Chen, K., Zheng, Y., & Harding, S. P. (2012). A blind deconvolution model for images corrupted by gaussian blur. In Essex-Greenwich-Hertfordshire Workshop on Applied and Numerical Mathematics - Multiscale Problems. University of Greenwich.
Advanced blur removal methods with applications to retinal imaging for ophthalmology
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
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
Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Data mining techniques for the screening of age-related macular degeneration. KNOWLEDGE-BASED SYSTEMS, 29, 83-92. doi:10.1016/j.knosys.2011.07.002
Imaging and Evaluation of Corneal Vascularization Using Fluorescein and Indocyanine Green Angiography
Anijeet, D. R., Zheng, Y., Tey, A., Hodson, M., Sueke, H., & Kaye, S. B. (2012). Imaging and Evaluation of Corneal Vascularization Using Fluorescein and Indocyanine Green Angiography. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 53(2), 650-658. doi:10.1167/iovs.11-8014
'Quantifying changes in corneal neovascularization using fluorescein and indocyanine green angiography'
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.
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.
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
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
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.
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2011). Retinal Image Classification for the Screening of Age-Related Macular Degeneration. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVIII (pp. 325-338). doi:10.1007/978-0-85729-130-1_25
Retinal image classification for the screening of age-related macular degeneration
Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2011). Retinal image classification for the screening of age-related macular degeneration. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 325-338). doi:10.1007/978-0-85729-130-1_25
Segmentation analysis of optical coherence tomography in central serous chorioretinopathy
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
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
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
Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data
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
Zheng, Y., Gandhi, J. S., Stangos, A. N., Campa, C., Broadbent, D. M., & Harding, S. P. (2010). Automated Segmentation of Foveal Avascular Zone in Fundus Fluorescein Angiography. Investigative Opthalmology & Visual Science, 51(7), 3653. doi:10.1167/iovs.09-4935
Automated Segmentation of Foveal Avascular Zone in Fundus Fluorescein Angiography
Zheng, Y., Gandhi, J. S., Stangos, A. N., Campa, C., Broadbent, D. M., & Harding, S. P. (2010). Automated Segmentation of Foveal Avascular Zone in Fundus Fluorescein Angiography. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 51(7), 3653-3659. doi:10.1167/iovs.09-4935
Automated segmentation of capillary non-perfusion from fundus fluorescein angiograms
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
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
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
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
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
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).
Retinal Image Classification using a Histogram Based Approach
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/
2009
A Histogram Based Approach to Screening of Age-related Macular Degeneration
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.
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
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.
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
Yang, X., Zheng, Y., Siddique, M., & Beddoe, G. (2008). Learning from imbalanced data: a comparative study for Colon CAD - art. no. 69150R. In MEDICAL IMAGING 2008: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2 Vol. 6915 (pp. R9150). doi:10.1117/12.770630
Reduction of false positives by extracting fuzzy rules from data for polyp detection in CTC scans - art. no. 69150S
Siddique, M. M., Zheng, Y., Yang, X., & Beddoe, G. (2008). Reduction of false positives by extracting fuzzy rules from data for polyp detection in CTC scans - art. no. 69150S. In MEDICAL IMAGING 2008: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2 Vol. 6915 (pp. S9150). doi:10.1117/12.770578
Simultaneous feature selection and classification based on genetic algorithms: an application to colonic polyp detection
Zheng, Y., Yang, X., Siddique, M., & Beddoe, G. (2008). Simultaneous feature selection and classification based on genetic algorithms: an application to colonic polyp detection. In MEDICAL IMAGING 2008: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2 Vol. 6915. doi:10.1117/12.770561
2007
Reduction of false positives in polyp detection using weighted support vector machines
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.2007.4353322
Reduction of false positives in polyp detection using weighted support vector machines
Zheng, Y., Yang, X., & Beddoe, G. (2007). Reduction of false positives in polyp detection using weighted support vector machines. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp. 4433-4436). doi:10.1109/IEMBS.2007.4353322
Fully automatic segmentation of liver from multiphase liver CT
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 Vol. 6512 (pp. 65122X). SPIE. doi:10.1117/12.709711
2005
Type II topological logic C<SUP>2</SUP><i><sub>T</sub></i> and approximate reasoning
Zheng, Y. L., Zhang, C. S., & Xia, Y. L. (2005). Type II topological logic C<SUP>2</SUP><i><sub>T</sub></i> 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
Zheng, Y. L., Tanner, C., Hill, D. L. G., Hawkes, D. J., White, M. J., Khazen, M., & Leach, M. O. (2004). Alignment of dynamic contrast enhanced MR volumes of the breast for a multi-centre trial: an exemplar grid application. In MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3 Vol. 5370 (pp. 294-303). doi:10.1117/12.535151
Automated segmentation of lumbar vertebrae in digital videofluoroscopic images
Zheng, Y. L., Nixon, M. S., & Allen, R. (2004). Automated segmentation of lumbar vertebrae in digital videofluoroscopic images. IEEE TRANSACTIONS ON MEDICAL IMAGING, 23(1), 45-52. doi:10.1109/TMI.2003.819927
2003
Information Extraction from Medical Images: Developing an e-Science Application Based on the Globus Toolkit
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
Zheng, Y., Nixon, M. S., & Allen, R. (2003). Lumbar spine visualisation based on kinematic analysis from videofluoroscopic imaging. MEDICAL ENGINEERING & PHYSICS, 25(3), 171-179. doi:10.1016/S1350-4533(02)00182-0
2002
Lumbar Spine Motion Analysis via Automatic Segmentation
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
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
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
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
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
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
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
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.
Corneal Confocal Microscopy Based Deep Learning Algorithms Demonstrate Excellent Diagnostic Accuracy in Identifying Patients with Dementia, Multiple Sclerosis and Parkinson's Disease
Meng, Y., Anson, M., Preston, F., Burgess, J., Ferdousi, M., Silverdale, M., . . . Alam, U. (n.d.). Corneal Confocal Microscopy Based Deep Learning Algorithms Demonstrate Excellent Diagnostic Accuracy in Identifying Patients with Dementia, Multiple Sclerosis and Parkinson's Disease.
Use ADCIS Digital Slider to Digitize Historical Ophthamology Films
Lu, H., Zheng, Y., Broadbent, D., & Harding, S. (n.d.). Use ADCIS Digital Slider to Digitize Historical Ophthamology Films.