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Prof. Yalin Zheng

Professor of AI in Healthcare

Department of Eye and Vision Science

University of Liverpool

 

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Biography

I joined the University of Liverpool as a Lecturer in January 2008 and now am Professor of AI in Healthcare at the Department of Eye and Vision Science, University of Liverpool. I also has an honorary contract with the St Paul’s Eye Unit of the Royal Liverpool University Hospital for clinical research. I received my BEng and MEng in 1994 and 1997 respectively. I received my PhD in Computer Vision from the School of Electronics and Computer Science, University of Southampton in 2003. Since then I have been working at the forefront of medical imaging technologies across a diverse spectrum of research and commercially oriented projects in both academia and industry. From November 2002 to June 2004, I was a research fellow with the Division of Imaging Science, King’s College London. From July 2004 to January 2008 I was with Medicsight PLC, as an industrial researcher.

I founded and lead The Centre for Research in Image Analysis (CRiA).  CRiA is a research centre specialised in the research and development of image processing and analysis techniques combining pure and applied mathematics, computer science, statistics, electrical engineering and clinical research. Please also follow us on twitter @LivCRiA.

Contact details

Room 275, 2nd Floor, William Henry Duncan Building

Department of Eye and Vision Science

University of Liverpool

6 West Derby Street

Liverpool L7 8TX, UK

Tel: +44 (0)151 794 9055

Email: yalin.zheng<@>liverpool.ac.uk

Web: http://pcwww.liv.ac.uk/~yzheng

 

 

 

 


 

Research

My research expertise is in machine learning, computer vision, image processing and medical imaging analysis. My current research is primarily focused on the development of (i) fundamental machine learning and image processing theory and algorithm; (ii) intelligent image analysis solutions for healthcare and other industry applications, and (iii) novel optical imaging device.

 

Top

Publications

Have published over 180 full-length refereed journal and conference papers including top journals in Engineering and Medicine.

 

My Google Scholar page: https://scholar.google.co.uk/citations?user=nKCHXTAAAAAJ&hl=en 

 

Edited Books

1.  Fu, H., M. K. Garvin, T. MacGillivray, Y. Xu and Y. Zheng (2021). Ophthalmic Medical Image Analysis (8th International Workshop, OMIA 2021). OMIA 2021 held in Conjunction with MICCAI 2021, Strasbourg, France, Springer.

2.  Fu, H., M. K. Garvin, T. MacGillivray, Y. Xu and Y. Zheng, Eds. (2020). Ophthalmic Medical Image Analysis. 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020. Lima, Peru, Springer.

3.  Zheng, Y., B. M. Williams and K. Chen, Eds. (2020). Medical Image Understanding and Analysis. Communications in Computer and Information Science. Cham, Switzerland, Springer.

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

 

Book Chapter

1.  Williams, B. M., P. I. Burgess and Y. Zheng (2019). Chapter 13 - Drusen and macular degeneration. Computational Retinal Image Analysis. E. Trucco, T. MacGillivray and Y. Xu, Academic Press: 245-272.

2.  Hijazi MHA, Coenen F, Zheng Y. Image mining approach for the screening of age-related macular degeneration. In: Wahler C, Wilkinson L, editors. Retinopathy: New research. Hauppauge, N.Y.: Nova Sci Publishers, Inc.; 2012.

Refereed Journal Papers

1.  Hao, J., J. Xie, R. Liu, H. Hao, Y. Ma, K. Yan, R. Liu, Y. Zheng, J. Zheng, J. Liu, J. Zhang and Y. Zhao. Automatic sequence-based network for lung diseases detection in chest CT. Frontiers in Oncology. accepted

2.  Preston, F. G., Y. Meng, J. Burgess, M. Ferdousi, S. Azmi, I. N. Petropoulos, S. Kaye, R. A. Malik, Y. Zheng and U. Alam. Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes. Diabetologia. accepted.

3.  Meng, Y., H. Zhang, Y. Zhao, X. Yang, Y. Qiao, I. J. C. MacCormick, X. Huang and Y. Zheng (accepted). Graph-based region and boundary aggregation for biomedical image segmentation. IEEE Trans Med Imaging. accepted

4.  Romano, V., B. Steger, M. Ahmad, G. Coco, L. Pagano, S. Ahmad, Y. Zhao, Y. Zheng and S. B. Kaye. Imaging of vascular abnormalities in ocular surface disease. Survey of Ophthalmology. 2021;S0039-6257(21)00119-3. 21 pages.

5.  Maunz, A., F. Benmansour, Y. Li, T. Albrecht, Y.-P. Zhang, F. Arcadu, Y. Zheng, S. Madhusudhan and J. Sahni. Accuracy of a machine-learning algorithm for detecting and classifying choroidal neovascularization on spectral-domain optical coherence tomography. Journal of Personalized Medicine 2021;11(6): 524. 20 pages.

6.  Ma, Y., H. Hao, J. Xie, H. Fu, J. Zhang, J. Yang, Z. Wang, J. Liu, Y. Zheng and Y. Zhao. ROSE: A retinal OCT-Angiography vessel segmentation dataset and new model. IEEE Trans Med Imaging. 2021;30(3): 928 - 939. 12 pages.

7.  Halim, S., M. Nugawela, U. Chakravarthy, T. Peto, S. Madhusudhan, P. Lenfestey, B. Hamill, Y. Zheng, D. Parry, L. Nicholson, J. Greenwood and S. Sivaprasad. 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. 2021;

8.  Foulkes, D. M., K. McLean, Y. Zheng, J. Sarsby, A. S. Haneef, D. G. Fernig, C. Winstanley, N. Berry and S. B. Kaye. A pipeline to evaluate inhibitors of the Pseudomonas aeruginosa exotoxin U. Biochemical Journal. 2021;478(3): 647-668.

9.  Chen, X., J. Zhao, K. C. Iselin, D. Borroni, D. Romano, A. Gokul, C. N. J. McGhee, Y. Zhao, M.-R. Sedaghat, H. Momeni-Moghaddam, M. Ziaei, S. Kaye, V. Romano and Y. Zheng. Keratoconus detection of changes using deep learning of colour-coded maps. BMJ Open Ophthalmology 2021;6(1): e000824.

10. Baumann, C., D. Iannetta, Z. Sultan, I. A. Pearce, C. P. Lohmann, Y. Zheng and S. B. Kaye. Predictive association of pre-operative defect areas in the outer retinal layers with visual acuity in macular hole surgery. Translational Vision Science & Technology 2021;10(4): 7-7.

11. Zhu, W., J. Y. Ku, Y. Zheng, P. Knox, R. Kolamunnage-Dona and G. Czanner. Spatial linear mixed effect modelling for OCT images: SLME model. Journal of Imaging 2020;6(4): 44.

12. Zhu, W., R. Kolamunnage-Dona, Y. Zheng, S. Harding and G. Czanner. Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications. BMJ Open Ophthalmology 2020;5: e000479. 14 pages.

13. Zhao, Y., J. Zhang, E. Pereira, Y. Zheng, P. Su, J. Xie, Y. Zhao, Y. Shi, H. Qi, J. Liu and Y. Liu. Automated tortuosity analysis of nerve fibers in corneal confocal microscopy. IEEE Trans Med Imaging. 2020;1-1.

14. Zhao, Y., J. Xie, H. Zhang, Y. Zheng, Y. Zhao, H. Qi, Y. Zhao, P. Su, J. Liu and Y. Liu. Retinal vascular network topology reconstruction and artery/vein classification via dominant set clustering. IEEE Trans Med Imaging. 2020;39(2): 341-356.

15. Zhang, H., H. Kalirai, A. Acha-Sagredo, X. Yang, Y. Zheng and S. E. Coupland. Piloting a deep learning model for predicting nuclear BAP1 immunohistochemical expression of uveal melanoma from hematoxylin-and-eosin sections. Translational Vision Science & Technology. 2020;9(2): 50-50.

16. Wu, X., D. Gao, D. Borroni, S. Madhusudhan, Z. Jin and Y. Zheng. Cooperative low-rank models for removing stripe noise from OCTA images. IEEE Journal of Biomedical and Health Informatics. 2020;24(12): 3480-3490.

17. Williams, B. M., D. Borroni, R. Liu, Y. Zhao, J. Zhang, J. Lim, B. Ma, V. Romano, Q. Hong, M. Ferdousi, I. N. Petropoulos, G. Ponirakis, S. Kaye, R. A. Malik, U. Alam and Y. Zheng. An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study. Diabetologia. pp63: 419–430.

18. Mou, L., Y. Zhao, H. Fu, Y. Liu, J. Cheng, Y. Zheng, P. Su, J. Yang, L. Chen, A. F. Frangi, Masahiro Akiba and J. Liu. CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. Medical Image Analysis. 2020; 10.1016/j.media.2020.101874.

19. Li, X., S. Lawman, B. M. Williams, S. Ye, Y. Shen and Y. Zheng. Simultaneous optical coherence tomography and Scheimpflug imaging using the same incident light. Optics Express. 2020;28(26): 39660-39676.

20. Lawman, S., B. M. Williams, Y. Zheng and Y. Shen. Quasi-tomography by free space line field spectral domain optical coherence reflectometry. Measurement Science and Technology. 2020;31(6): 065203.

21. Celik, N., F. O’Brien, S. Brennan, R. D. Rainbow, C. Dart, Y. Zheng, F. Coenen and R. Barrett-Jolley. Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. Communications Biology. 2020;3(1): 3.

22. Bridge, J., Y. Meng, Y. Zhao, Y. Du, M. Zhao, R. Sun and Y. Zheng. Introducing the GEV activation function for highly unbalanced data to develop covid-19 diagnostic models. IEEE Journal of Biomedical and Health Informatics. 2020;24(10): 2776-2786.

23. Bridge, J., S. P. Harding and Y. Zheng. Development and validation of a novel prognostic model for predicting AMD progression using longitudinal fundus images. BMJ Open Ophthalmology 2020;5: e000569.

24. Zhang, Z., B. Williams, Y. Zheng, H. Lin and Y. Shen. Differentiating generic versus branded pharmaceutical tablets using ultra-high-resolution optical coherence tomography. Coatings. 2019;9(5): 326.

25. Zhang, Z., U. Ikpatt, S. Lawman, B. Williams, Y. Zheng, H. Lin and Y. Shen. Sub-surface imaging of soiled cotton fabric using full-field optical coherence tomography. Optics Express. 2019;27: 13951-13964. 14 pages. 5 citations

26. Yan, Q., Y. Zhao, Y. Zheng, Y. Liu, K. Zhou, A. Frangi and J. Liu. Automated retinal lesion detection via image saliency analysis. Medical Physics. 2019;46(10): 4531-4544.

27. MacCormick, I. J. C., B. M. Williams, Y. Zheng, K. Li, B. Al-Bander, S. Czanner, R. Cheeseman, C. E. Willoughby, E. N. Brown, G. L. Spaeth and G. Czanner. Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile. Plos One. 2019;14: e0209409.

28. Lourenco, E. A. J., L. Shaw, H. Pratt, G. L. Duffy, G. Czanner, Z. Y, K. J. Hamill and A. G. McCormick. Application of SPF moisturisers is inferior to sunscreens in coverage of facial and eyelid regions. Plos One. 2019;

29. Kazaili, A., S. Lawman, B. Geraghty, A. Eliasy, Y. Zheng, Y. Shen and R. Akhtar. Line-field optical coherence tomography as a tool for In vitro characterization of corneal biomechanics under physiological pressures. Scientific Reports. 2019;9(1): 6321.

30. Boonarpha, N., P. C. Knox, M. Batterbury, C. Rogers and Y. Zheng (2018). Comparison of optic disc images from two smartphone-based imaging systems in glaucoma patients and suspects. Ophthalmology: Open Access Journal. 2019;1: 1-7.

31. Al-Bander, B., B. M. Williams, W. Al-Nuaimy, M. A. Al-Taee, H. Pratt and Y. Zheng. Dense fully convolutional segmentation of the optic disc and cup in colour fundus for glaucoma diagnosis. Symmetry. 2018;10:87. 

32. Barrera, V., I. J. C. MacCormick, G. Czanner, P. S. Hiscott, V. A. White, A. G. Craig, N. A. V. Beare, L. H. Culshaw, Y. Zheng, S. C. Biddolph, D. A. Milner, S. Kamiza, M. E. Molyneux, T. E. Taylor and S. P. Harding. Neurovascular sequestration in paediatric P.falciparum malaria is visible clinically in the retina. eLife. 2018;7:e32208.

33. Brunner, M., V. Romano, B. Steger, R. Vinciguerra, S. Lawman, B. Williams, N. Hicks, G. Czanner, Y. Zheng, C. E. Willoughby and S. B. Kaye. Imaging of corneal neovascularization: optical coherence tomography angiography and fluorescence angiography. Inv Ophth Vis Sci. 2018;59:1263–9.

34. Zhao, Y., Y. Zheng, Y. Liu, Y. Zhao, L. Luo, S. Yang, T. Na, Y. Wang and J. Liu. Automatic 2D/3D vessel enhancement in multiple modality images using a weighted symmetry filter. IEEE Trans Med Imaging. 2018;37(2):438-50.

35. Pratt, H., B. Williams, J. Ku, C. Vas, E. McCann, B. Al-Bander, Y. Zhao, F. Coenen and Y. Zheng. Automatic detection and distinction of retinal vessel bifurcations and crossings in colour fundus photography. Journal of Imaging. 2018;4(1):1-14.

36. Al-Bander, B., W. Al-Nuaimy, B. M. Williams and Y. Zheng. Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc. Biomed Signal Process Control. 2018;40:91-101.

37. Brunner, M., B. Steger, V. Romano, M. Hodson, Y. Zheng, H. Heimann and S. B. Kaye. Identification of feeder vessels in ocular surface neoplasia using indocyanine green angiography. Curr Eye Res. 2018;43(2):163-9.

38. Lawman, S., P. W. Madden, V. Romano, Y. Dong, S. Mason, B. M. Williams, S. B. Kaye, C. E. Willoughby, S. P. Harding, Y.-C. Shen and Y. Zheng. Deformation velocity imaging using optical coherence tomography and its applications to the cornea. Biomed Opt Express. 2017;8(12):5579–93.

39. Romano, V., B. Steger, M. Brunner, A. Kaye, Y. Zheng, C. E. Willoughby and S. B. Kaye. Detecting change in conjunctival hyperemia using a pixel densitometry index. Ocul. Immunol. Inflamm. 2017:1-6.

40. Gao, Z., W. Bu, X. Wu and Y. Zheng. Intra-retinal layer segmentation of macular OCT images using edge superpixels and manifold ranking method. Intl J Future Gen Comm Network. 2017;10(6):81-97.

41. Pratt, H., K. Hassanin, L. D. Troughton, G. Czanner, Y. Zheng, A. G. McCormick and K. J. Hamill. UV imaging reveals facial areas that are prone to skin cancer are disproportionately missed during sunscreen application. PLoS ONE. 2017;12(10):e0185297.

42. MacCormick, I. J. C., Y. Zheng, S. Czanner, Y. Zhao, P. J. Diggle, S. P. Harding and G. Czanner. Spatial statistical modelling of capillary non-perfusion in the retina. Nature Sci Rpt. 2017;7(1):16792.

43. Zhang, J., B. M. Williams, S. Lawman, D. Atkinson, Z. Zhang, Y. Shen and Y. Zheng. Non-destructive analysis of flake properties in automotive paints with full-field optical coherence tomography and 3D segmentation. Opt Express. 2017;25(16):18614-28.

44. Lawman, S., B. Williams, J. Zhang, Y.-C. Shen and Y. Zheng. Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings. Appl Sci. 2017;7(4):351.

45. Zhao, Y., Y. Zheng, Y. Liu, J. Yang, Y. Zhao, D. Chen and Y. Wang. Intensity and compactness enabled saliency estimation for leakage detection. IEEE Trans Med Imaging. 2017;36(1):51-63.

46. Zhao, Y., J. Zhao, J. Yang, Y. Liu, Y. Zhao, Y. Zheng, L. Xia and Y. Wang. Saliency driven vasculature segmentation with infinite perimeter active contour model. Neurocomputing. 2017;259:201-9.

47. Albarrak, A., F. Coenen and Y. Zheng. Volumetric image classification using homogeneous decomposition and dictionary learning: a study using retinal optical coherence tomography for detecting age-related macular degeneration. Comput Med Imag Grap. 2017;55:113-123.

48. Gao, Z., W. Bu, Y. Zheng and X. Wu. Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach. Comput Med Imag Grap. 2017;55:42-53.

49. Lin, H., Y. Dong, D. Markl, B. M. Williams, Y. Zheng, Y. Shen and J. A. Zeitler. Measurement of the inter-tablet coating uniformity of a pharmaceutical pan coating process with combined terahertz and optical coherence tomography in-line sensing. J Pharm Sci. 2016. http://dx.doi.org/10.1016/j.xphs.2016.12.012.

50. Williams, B. M., J. A. Spencer, K. Chen, Y. Zheng and S. Harding. An effective variational model for simultaneous reconstruction and segmentation of blurred images. J Alg Comp Tech. 2016. 10.1177/1748301816660406.

51. Zhao, Y., P. Su, J. Yang, Y. Zhao, Y. Zheng and Y. Wang. A compactness based saliency approach for leakages detection in fluorescein angiogram. Int J Mach Learn Cyber. 2016. 10.1007/s13042-016-0573-4.

52. Lawman, S., Y. Dong, B. M. Williams, V. Romano, S. Kaye, S. P. Harding, C. Willoughby, Y.-C. Shen and Y. Zheng. High resolution corneal and single pulse imaging with line field spectral domain optical coherence tomography. Opt Express. 2016;24(11):12395-405.

53. Y., S. Lawman, Y. Zheng, D. Williams, J. Zhang and Y.-C. Shen. Non-destructive analysis of automotive paints with spectral domain optical coherence tomography. Appl Optics. 2016;55(13):3695-700.

54. Williams, D., Y. Zheng, P. G. Davey, F. Bao, M. Shen and A. Elsheikh. Reconstruction of 3D surface maps from anterior segment optical coherence tomography images using graph theory and genetic algorithms. Biomed. Signal Process. Control. 2016;25:91-8.

55. Romano, V., B. Steger, Y. Zheng, S. Ahmad, C. E. Willoughby and S. Kaye. Angiographic and in vivo confocal microscopic characterization of human corneal blood and presumed lymphatic neovascularization: a pilot study. Cornea. 2015;34:1459-65.

56. Zhao Y, MacCormick IJC, Parry DG, Beare NAV, Harding SP, Zheng Y. Automated detection of vessel abnormalities on fluorescein angiogram in malarial retinopathy. Nature Sci Rep. 2015;5:11154.1-14.

57. Zhao, Y., I. J. C. MacCormick, D. G. Parry, S. Leach, N. A. V. Beare, S. P. Harding and Y. Zheng. Leakage detection in fluorescein angiography of the retina based on saliency. Nature Sci Rep. 2015;5:10425.1-15.

58. Zhao, Y., L. Rada, K. Chen, S. Harding and Y. Zheng. Automated vessel segmentation using infinite perimeter active contour model with hybrid region information. IEEE Trans Med Imging. 2015;34(9):1797-807.

59. Spiteri, N., V. Romano, Y. Zheng, S. Yadav, R. Dwivedi, J. Chen, S. Ahmad, C. Willoughby and S. B. Kaye. Corneal angiography for guiding and evaluating fine needle diathermy treatment of corneal neovascularization. Ophthalmology. 2015;(122):1079-84.

60. Zhao, Y., Y. Liu, X. Wu, S. P. Harding and Y. Zheng. Retinal vessel segmentation: An efficient graph cut approach with Retinex and local phase. PLOS One. 2015;(10):e0122332.

61. Chen, K., Y. Zheng, B. M. Williams and S. P. Harding. A new study of blind deconvolution with implicit incorporation of non-negativity constraints. Intl J Comp Math. 2015;(2015):1-17.

62. Zheng, Y., M. T. Kwong, I. J. C. MacCormick, N. A. V. Beare and S. P. Harding. A comprehensive texture segmentation framework and its application to segmentation of capillary non-perfusion regions in fundus fluorescein angiograms. Plos One. 2014;9: e93624.

63. Williams, D., Y. Zheng, F. Bao and A. Elsheikh. Fast segmentation of anterior segment optical coherence tomography images using graph cut. Eye and Vision Science. 2015;2(1):1-6.

64. Sueke, H., S. Kaye, M. C. Wilkinson, S. Kennedy, V. Kearns, Y. Zheng, P. Roberts, S. Tuft and T. Neal. Pharmacokinetics of meropenem for use in bacterial keratitis. Inv Ophth Vis Sci. 2015;56(10):5731-8.

65. Boonarpha, N., Y. Zheng, A. N. Stangos, H. Lu, A. Raj, G. Czanner, S. P. Harding and J. Sahni. Standardization of choroidal thickness measurements using enhanced depth imaging optical coherence tomography. Intl J Ophthalmology. 2015;8:484-91.

66. Zheng, Y., L. Currie, N. Pollock, A. Heath, C. Sheridan, A. Choudhary, S. O'Reilly and I. Grierson. Measurement and computer modelling of temporary arrangements of polygonal actin structures (TAPAs) in trabecular meshwork cells which consist of cross-linked actin networks (CLANs) and polygonal actin arrangements (PAAs). J Ocul Pharmacol Ther. 2014;30(2-3):224-36.

67. Hijazi, M. H. A., F. Coenen and Y. Zheng. Data mining for AMD screening: A classification based approach. Intl J Simulation Sys Sci Tech. 2014;15(1):57-69.

68. Zheng, Y., A. E. Kaye, A. Boker, R. K. Stewart, A. Tey, S. Ahmad, C. E. Willoughby, A. J. Bron and S. B. Kaye. Marginal corneal vascular arcades. Inv Ophth Vis Sci 2013(54):7470-7.

69. Williams, D., Y. Zheng, F. Bao and A. Elsheikh. Automatic segmentation of anterior segment OCT images. J Biomed Opt. 2013(18):056003-056001-056007.

70. Zheng, Y. and K. Chen. A unifying model for multiphase texture segmentation and its applications to retinal image analysis. Biomed Signal Process Control. 2013(8):374-381.

71. Zheng, Y., J. Sahni, C. Campa, A. N. Stangos, A. Raj and S. P. Harding. Computerized assessment of intraretinal and subretinal fluid spaces in spectral-domain OCT images of the retina. Am J Ophthalmol. 2013(155):277-86.e1.

72. Bu, W., X. Wu, X. Chen, B. Dai and Y. Zheng. Hierarchical detection of hard exudates in color retinal images. Journal of Software. 2013(8):2723-32.

73. Yan, Z., Y. Zhao, S. Hou, H. Zhang and Y. Zheng. Obstacle avoidance for unmanned undersea vehicle in unknown unstructured environment. Math Probl Eng. 2013(2013):1-12.

74. Anijeet, D. R., A. Tey, Yalin Zheng, H. Sueke, S. Ahmed and S. B. Kaye. Evaluation of corneal vessels. European Ophthalmic Review. 2013;7:70-3.

75. Yan, Z., D. Chi, S. Hou and Y. Zheng. Underwater environment SDAP method using multi single-beam sonars. Math Probl Eng. 2013(2013):1-17.

76. Zheng, Y., M. H. A. Hijazi and F. Coenen. Automated disease / no disease grading of age-related macular degeneration by an image mining approach. Inv Ophth Vis Sci. 2012(53):8310-8.

77. Zheng Y and Chen K. A hierarchical algorithm for multiphase texture image segmentation. ISRN Signal Processing. 2012(2012):1-11.

78. Kirwan, R. P., Y. Zheng, A. Tey, A. Anijeet, H. Sueke and K. S.B. Quantifying changes in corneal neovascularization using fluorescein and indocyanine green angiography. Am J Ophthalmol. 2012(154):850-858.e2.

79. Anijeet, D., Y. Zheng, M. Hodson, A. Tey and S. Kaye. Imaging and evaluation of corneal vascularisation using fluorescein and indocyanine green angiography. Inv Ophth Vis Sci. 2012(53):650-8.

80. Hijazi, M. H. A., F. Coenen and Y. Zheng. Classification of retinal images using spatial-histograms and case based reasoning. Knowledge-Based Systems. 2012(29): 83-92.

81. Zheng, Y., J. S. Gandhi, A. N. Stangos, C. Campa, D. M. Broadbent and S. P. Harding. Automated segmentation of foveal avascular zone in fundus fluorescein angiography. Inv Ophth Vis Sci. 2010(51):3653-9.

82. Zheng, Y., M. S. Nixon and R. Allen. Automatic segmentation of lumbar vertebrae in digital videofluoroscopic images. IEEE Trans Med Imging. 2004(23):45-52.

83. Zheng, Y., M. S. Nixon and R. Allen. Lumbar spine visualisation based on kinematic analysis from videofluoroscopic imaging. Med Eng Phys. 2003(25):171-9.

 

Full-length Refereed Conference Papers

1.    Aldosari, H., F. Coenen, G. Y. H. Lip and Y. Zheng (2021). Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification. International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2021). Linz, Austria: 235-241.

2.    Yu, S., Y. Liu, J. Zhang, J. Xie, Y. Zheng, J. Liu and Y. Zhao (2021). Cross-Domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography, MICCAI2021, Cham, Springer International Publishing. 11 pages. *top conference in medical imaging, acceptance rate 20-30%

3.    Bridge, J., S. Harding and Y. Zheng (2021). End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease Progression with Uneven Time Intervals, Cham, Springer International Publishing. 15 pages.

4.    Zhao, J., J. Zhang, B. Deng, Y. Zheng, J. Liu, R. Song and Y. Zhao (2021). Guided Adversarial Adaptation Network for Retinal and Choroidal Layer Segmentation, MICCAI2021 OMIA Workshop, Cham, Springer International Publishing. 10 pages. *best poster award

5.    Chen, X., X. Luo, G. Wang and Y. Zheng (2021). Deep Elastica For Image Segmentation. IEEE 18th International Symposium on Biomedical Imaging (ISBI). Nice, France, IEEE. 5 pages.

6.    Deng, K., Y. Meng, D. Gao, J. Bridge, Y. Shen, G. Lip, Y. Zhao and Y. Zheng (2021). TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography, Cham, Springer International Publishing. 10 pages.

7.    Chen, X., Y. Meng, Y. Zhao, R. Williams, S. R. Vallabhaneni and Y. Zheng (2021). Learning Unsupervised Parameter-Specific Affine Transformation for Medical Images Registration, MICCAI2021, Cham, Springer International Publishing. 11 pages. 1citation *top conference in medical imaging, acceptance rate 20-30%

8.    Meng, Y., H. Zhang, D. Gao, Y. Zhao, X. Yang, X. Qian, X. Huang and Y. Zheng (accepted). BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation. BMVC21. Manchester, UK.

9.    Bridge, J. and Y. Zheng (2021). mGEV: Extension of the GEV Activation to Multiclass Classification. Medical Imaging with Deep Learning (MIDL21). Lübeck, Germany. 3 pages.

10. Zhang, H., Y. Meng, X. Qian, X. Yang, S. Coupland and Y. Zheng (2021). A regularization term for slide correlation reduction in whole slide image analysis with deep learning. Medical Imaging with Deep Learning (MIDL) 2021. Lübeck, Germany. Proceedings of Machine Learning Research 143:812-824, 2021. 13 pages. 1 citation.

11. Meng, Y., H. Zhang, Y. Zhao, X. Yang, X. Qian, X. Huang and Y. Zheng (2021). Spatial Uncertainty-Aware Semi-Supervised Crowd Counting. IEEE/CVF International Conference on Computer Vision (ICCV) 2021, IEEE. 11 pages. 2 citations. *top conference in medical imaging, acceptance rate 20-30%

12. Zhu, W., J. Y. Ku, Y. Zheng, P. Knox, S. P. Harding, R. Kolamunnage-Dona and G. Czanner (2020). Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema, Cham, Springer International Publishing. 13 pages. 2 citations

13. Zhao, K., H. Zhang, Y. Zhao, J. Xie, Y. Zheng, D. Borroni, H. Qi and J. Liu (2020). Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor, Cham, Springer International Publishing. 11 pages. 11 pages.

14. Wu, X., D. Gao, B. M. Williams, A. Stylianides, Y. Zheng and Z. Jin (2020). Joint Destriping and Segmentation of OCTA Images, Cham, Springer International Publishing. 13 pages.

15. Ma, Y., Y. Liu, J. Cheng, Y. Zheng, M. Ghahremani, H. Chen, J. Liu and Y. Zhao (2020). Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement, Cham, Springer International Publishing. 11 pages. 5 citations. *top conference in medical imaging, acceptance rate 20-30%

16. Meng, Y., M. Wei, D. Gao, Y. Zhao, X. Yang, X. Huang and Y. Zheng (2020). CNN-GCN aggregation enabled boundary regression for biomedical image segmentation. MICCAI 2020, Lima, Peru, Springer International Publishing. 11 pages. 8 citations. *top conference in medical imaging, acceptance rate 20-30%

17. Meng, Y., W. Meng, D. Gao, Y. Zhao, X. Yang, X. Huang and Y. Zheng (2020). Regression of Instance Boundary by Aggregated CNN and GCN. ECCV2020. Glasgow, UK, Springer International Publishing. Lecture Notes in Computer Science, vol 12353: 190-207. 18 pages. 6 citations. *top conference in computer vision, acceptance rate 20-30%

18. Kidsumran, V. and Y. Zheng (2020). Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced Image, Cham, Springer International Publishing. 8 pages.

19. Gao, D., N. Celik, X. Wu, B. M. Williams, A. Stylianides and Y. Zheng (2020). A Novel Deep Learning Based OCTA De-striping Method, Cham, Springer International Publishing. 9 pages. 2 citations

20. Chen, X., M. Leak, S. P. Harding and Y. Zheng (2020). AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy, Cham, Springer International Publishing. 11 pages.

21. Bridge, J., S. P. Harding and Y. Zheng (2020). DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images, Cham, Springer International Publishing. 8 pages.

22. Al-Bander, B., T. Alzahrani, S. Alzahrani, B. M. Williams and Y. Zheng (2020). Improving Fetal Head Contour Detection by Object Localisation with Deep Learning, Cham, Springer International Publishing. 9 pages. 9 citations

23. Xie, J., Y. Zhao, Y. Liu, P. Su, Y. Zhao, J. Cheng, Y. Zheng and J. Liu (2019). Topology reconstruction of tree-like structure in images via structural similarity measure and dominant set clustering. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, IEEE. 2019: 8505-8513. 9 pages. 5 citation *top conference in computer vision, acceptance rate 20-30%

24. Su, P., Y. Zhao, T. Chen, J. Xie, Y. Zhao, H. Qi, Y. Zheng and J. Liu (2019). Exploiting Reliability-Guided Aggregation for the Assessment of Curvilinear Structure Tortuosity, Cham, Springer International Publishing. 9 pages. 4 citations *top conference in medical imaging, acceptance rate 20-30%

25. Mou, L., Y. Zhao, L. Chen, J. Cheng, Z. Gu, H. Hao, H. Qi, Y. Zheng, A. Frangi and J. Liu (2019). CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation. Cham, Springer International Publishing: 721-730. 10 pages. 53 citations *top conference in medical imaging, acceptance rate 20-30%

26. Chen, X., B. Williams, S. Vallabhaneni, G. Czanner, R. Williams and Y. Zheng (2019). Learning active contour models for medical image segmentation. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, IEEE. 2019: 11632-11640. 9 pages. 109 citations *top conference in computer vision, acceptance rate 20-30%

27. Bridge, J., S. P. Harding, Y. Zhao and Y. Zheng (2019). Dictionary Learning Informed Deep Neural Network with Application to OCT Images, Cham, Springer International Publishing. 8 pages.

28. Pratt, H., F. Coenen, S. P. Harding, D. M. Broadbent and Y. Zheng (2019). Feature visualisation of classification of diabetic retinopathy using a convolutional neural network. CEUR Workshop Proceedings. 7 pages. 4 citations

29. Zhao, Y., J. Xie, P. Su, Y. Zheng, Y. Liu, J. Cheng and J. Liu. Retinal artery and vein classification via dominant sets clustering based vascular topology estimation. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; September 16-20 2018; Granada, Spain: Springer International Publishing 2018. 9 pages. 33 citations *top conference in medical imaging, acceptance rate 20-30%

30. Xu, Y., B. M. Williams, B. Al-Bander, Z. Yan, Y.-C. Shen and Y. Zheng. Improving the resolution of retinal OCT with deep learning. Medical Image Understanding and Analysis (MIUA) 2018; July 9-11 2018; Southampton, UK: Springer 2018. 8 pages. 2 citations.

31. Zhao, Y., Y. Zheng, Y. Zhao, Y. Liu, Z. Chen, P. Liu and J. Liu. Uniqueness-driven saliency analysis for automated lesion detection with applications to retinal diseases. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; September 16-20 2018; Granada, Spain: Springer International Publishing 2018. 10 pages. 20 citations *top medical image conference (acceptance rate of approx. 30%)

32. Xie, J., Y. Zhao, Y. Zheng, J. Liu and Y. Wang. Retinal vascular topology estimation via dominant sets clustering.  IEEE International Symposium on Biomedical Imaging (ISBI'18); April 4-7, 2018; Omni Shoreham Hotel Washington DC, USA: IEEE 2018. 5 pages. 3 citations

33. Pratt, H., B. Williams, F. Coenen and Y. Zheng. FCNN: Fourier convolutional neural networks. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD); September 18–22, 2017; Skopje, Macedonia: Springer 2017. 16 pages. 52 citations. *top computer science conference (acceptance rate of approx. 30%)

34. Lawman, S., V. Romano, P. Madden, S. Mason, B. M. Williams, Y. Zheng and Y.-C. Shen. Supercontinuum ultra-high resolution line-field OCT with experimental spectrograph comparison, experimental comparison with current clinical OCT system for the imaging of a human cornea and application to pharmaceutical pellets.  The 2nd Canterbury Conference on OCT with emphasis on broadband optical sources; September 6-8, 2017; Canterbury, Kent: 2017. 8 pages. 1 citation.

35. Lawman, S., J. Zhang, B. Williams, Y. Zheng and Y.-C. Shen (2017). Applications of optical coherence tomography in the non-contact assessment of automotive paints, SPIE. 9 pages. 2 citations.

36. Williams, B. M., B. Al-Bander, H. Pratt, S. Lawman, Y. Zhao, Y. Zheng and Y. Shen. Fast blur detection and parametric deconvolution of retinal fundus images. MICCAI - Ophthalmic Medical Image Analysis 4; 10-14 September 2017; Quebec, CA: Springer International Publishing 2017. 8 pages.

37. Pratt, H., B. M. Williams, J. Ku, F. Coenen and Y. Zheng. Automatic Detection and Identification of Retinal Vessel Junctions in Colour Fundus Photography. In: Valdés Hernández M, González-Castro V, editors. Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings. Cham: Springer International Publishing; 2017. p. 27-37. 11 pages.

38. Luo, L., Y. Zhao, J. Yang, Y. Zheng, S. Yang, D. Ai and Y. Wang. Cerebral vascular enhancement using a weighted 3D symmetry filter. IEEE International Symposium on Biomedical Imaging; April 18-21 2017; Melbourne, Australia: IEEE 2017. 5 pages. 1 citation

39. Hassanin, K., H. Pratt, Y. Zheng, G. Czanner, K. Hamill and A. McCormick. Ultraviolet imaging reveals that areas on the face that are prone to skin cancer are disproportionately missed during sunscreen application. Br J Dermatol. 2017;177:13-4. 2 pages.

40. Gao, Z., W. Bu, X. Wu and Y. Zheng. Intra-retinal layers segmentation of macular OCT images based on the graph optimal approach. 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI); Oct 15-17 2016; Harbin, China: 2016. 6 pages.

41. Gao, Z., W. Bu, X. Wu and Y. Zheng. Thickness measurements of ten intra-retinal layers from optical coherent tomography images using a super-pixels and manifold ranking approach. 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI); Oct 15-17 2016; Harbin, China: 2016. 6 pages.

42. Yang, Y., W. Bu, K. Wang, Y. Zheng and X. Wu. Automated artery-vein classification in fundus color images, Social Computing: Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Harbin, China, August 20-22, 2016, Proceedings, Part I, 2016. 10 pages.

43. Al-Bander, B, W. Al-Nuaimy, M. Al-Taee, B. William and Y. Zheng. Diabetic macular edema grading based on deep neural networks. 3rd MICCAI Workshop on Ophthalmic Medical Image Analysis (MW-OMIA3) Part of the 19th International Conference on Medical Image Analysis Computing and Computer Assisted Intervention (MICCAI) 2016, Athens, Greece. 8 pages. 20 citations.

44. Al-Bander, B., W. Al-Nuaimy, M. A. Al-Taee, A. Al-Ataby and Y. Zheng. Automatic feature learning method for detection of retinal landmarks, the Ninth International Conference on Developments in e-Systems Engineering (DeSE2016). 6 pages. 9 citations.

45. Pratt, H., F. Coenen, D.M. Broadbent, S. P. Harding and Y. Zheng. Convolutional Neural Networks for Diabetic Retinopathy. Medical Image Understanding and Analysis (MIUA'16); July 6–8 2016; Loughborough University, 2016. 6 pages. *Best Poster award. 475 citations

46. Zhao, Y., J. Yang, Y. Zheng and Y. Wang. Leakage detection on diabetic retinopathy by using saliency.  International Symposium on Biomedical Imaging (ISBI'16); April 13 - 16; Clarion Congress Hotel: IEEE; 2016.

47. Zhang, J., Y. Shen and Y. Zheng. The application of full-field optical coherence tomography on evaluating film coating of pharmaceutical pellets. The 15th IEEE International Conference on Computer and Information Technology. October 26-28 2015, Liverpool, UK.

48. Williams, B. M., Y. Zheng, K. Chen and S. P. Harding. A new method of blind deconvolution for colour fundus retinal images. 2nd MICCAI Workshop on Ophthalmic Medical Image Analysis (MW-OMIA2) Part of the 18th International Conference on Medical Image Analysis Computing and Computer Assisted Intervention (MICCAI) 2015. October 9 2015, Munich, Germany.

49. Albarrak, A., F. Coenen F and Y. Zheng. Dictionary learning-based volumetric image classification for the diagnosis of age-related macular degeneration. In: Perner P, editor. Machine Learning and Data Mining in Pattern Recognition. Lecture Notes in Computer Science. 8556. St. Petersburg, Russia: Springer International Publishing; 2014. p. 272-84.

50. Williams, D., Y. Zheng and A. Elsheikh. A 3D segmentation framework for cornea segmentation in anterior segment OCT images using level set technique with shape prior. MIUA2013. 2013.

51. Albarrak, A., F. Coenen F and Y. Zheng. Age-related macular degeneration identification in volumetric optical coherence tomography using decomposition and local feature extraction. MIUA2013. 2013.

52. Albarrak, A., F. Coenen F and Y. Zheng. Classification of volumetric retinal images using overlapping decomposition and tree analysis. IEEE CBMS2013; June 20-22 2013; Porto, Portugal: IEEE; 2013.

53. Hijazi, M. H. A., F. Coenen and Y. Zheng. Age-related macular degeneration screening using data mining approaches.  1st International Conference on Artificial Intelligence, Modelling and Simulation (AIMS13); 3-5 December 2013; Kota Kinabalu, Sabah (Malaysia): IEEE; 2013.

54. Dai, B, W. Bu, X. Wu and Y. Zheng. Retinal blood vessel detection using multiscale line filter and phase congruency. In: Arabnia HR, Deligiannidis L, Lu J, Tinetti FG, You J, editors. Int'l Conf IP, Comp Vision, and Pattern Recognition (IPCV'13); Las Vegas, USA: Jul 22-25, 2013; 2013. p. 235-41.

55. Lu, H., N. Boonarpha, M. T. Kwong and Y. Zheng. Automated segmentation of the choroid in retinal optical coherence tomography images. IEEE EMBC2013; July 3-7, 2013; Osaka, Japan: IEEE; 2013.

56. Williams, B., K. Chen and Y. Zheng and S. Harding. Advanced blur removal methods with applications to retinal imaging for ophthalmology. MIUA2012. 2012.

57. Williams, D., Y. Zheng and A. Elsheikh. Automatic segmentation of anterior segment optical coherence tomography images. MEDSIP2012. 2012.

58. Albarrak, A., F. Coenen, Y. Zheng and W. Yu. Volumetric image mining based on decomposition and graph analysis: an application to retinal optical coherence tomography. The 13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI 2012); November 20-22, 2012; Budapest, Hungary. 2012.

59. Williams, B., K. Chen, Y. Zheng and S. Harding. A Blind Deconvolution Model for Images Corrupted by Gaussian Blur. EGH2012 (Essex-Greenwich-Hertfordshire Workshop on Applied and Numerical Mathematics). 2012.

60. Elsayed, A., M. Hijazi, F. Coenen, M. Garcia-Finana, V. Sluming and Y. Zheng. Time series case based reasoning for image categorisation. The 19th International Conference on Case-Based Reasoning (ICCBR2011); London, UK. 2011.

61. Albarrak, A., F. Coenen and Y. Zheng. Identifying age-related macular degeneration in volumetric retinal images. Ophthalmic Imaging Analysis Workshop. 2011:53-8.

62. Hijazi, M., C. Jiang, F. Coenen and Y. Zheng. Image classification for age-related macular degeneration screening using hierarchical image decompositions and graph mining. In: Gunopulos D, Hofmann T, Malerba D, Vazirgiannis M, editors. Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science. 6912. Berlin / Heidelberg: Springer; 2011. p. 65-80.

63. García, M., Y. Zheng, M. I. López, T. Criddle, S. Harding and R. Hernero. Detection of the fovea in colour fundus images based on search area localisation and local feature extraction. Ophthalmic Imaging Analysis Workshop. 2011.

64. Zheng Y., Kwong M, Raj A, MacCormick IJC, Beare NAV, Harding SP. Segmentation of capillary non-perfusion regions in fundus fluorescein angiogram. Ophthalmic Imaging Analysis Workshop. 2011.

65. Williams, B., K. Chen, Y. Zheng and S. Harding. Mathematical methods and algorithms for restoring retinal images with blur and blind blur. Ophthalmic Imaging Analysis Workshop. 2011.

66. Hijazi, M. H. A., F. Coenen and Y. Zheng. Image classification using histograms and time series analysis: A study of age-related macular degeneration (AMD) screening in retina image data.  Proc ibia Industrial Conf on Data Mining: Springer, LNAI; 2010.

67. Hijazi, M. H. A., F. Coenen and Y. Zheng. Retinal image classification using a histogram based approach. International Joint Conference on Neural Networks: IEEE; 2010.

68. Hijazi, M. H. A., F. Coenen and Y. Zheng. Retinal image classification for the screening of age-related macular degeneration. SGAI International Conference on Artificial Intelligence; 14-16 December 2010; Cambridge, UK, 2010.

69. Elsayed, A., M. H. A. Hijazi, F. Coenen, M. Garcia-Finana, V. Sluming and Y. Zheng. Image categorisation using time series case based reasoning.  UKCBR2010; 2010.

70. Hijazi, M. H. A., F. Coenen and Y. Zheng. A histogram approach for the screening of age-related macular degeneration. MIUA2009; 14th-15th July 2009; Kingston, UK; 2009. p. 154-8.

71. Zheng, Y., X. Yang, M. Siddique and G. Beddoe. Simultaneous feature selection and classification based on genetic algorithms: An application to colonic polyp detection.  SPIE Medical Imaging; 16-21 February, 2008; San Diego, USA: SPIE: 2008.

72. Yang, X, Y. Zheng, M. Siddique and G. Beddoe. Learning from imbalanced data: a comparative study for colon CAD. SPIE Medical Imaging; 16-21 February, 2008; San Diego, USA: SPIE: 2008.

73. Siddique, M., Y. Zheng, X. Yang, M. Siddique and G. Beddoe. Reduction of false positives by extracting fuzzy rules from data for polyp detection in CTC scans. SPIE Medical Imaging; 16-21 February, 2008; San Diego, USA: SPIE; 2008.

74. Zheng, Y., X. Yang and G. Beddoe. Reduction of false positives in polyp detection using weighted support vector machines. IEEE EMBC; August 23-26, 2007; Lyon, France: IEEE; 2007.

75. Zheng, Y., X. Yang, X. Ye and X. Lin. Fully automatic segmentation of liver from multiphase liver CT.  SPIE Medical Imaging; 14-19 February 2007; San Diego, USA2007.

76. Zheng, Y., C. Tanner, D. L. G. Hill, D. J. Hawkes, M. J. White, M. Khazen and M. O. Leach. Alignment of dynamic contrast enhanced MR volumes of the breast for a multicenter trial: An exemplar grid application. SPIE Medical Imaging; 14-19 February, 2004; San Diego, USA2004.

77. Zheng, Y., C. Tanner, D. L. G. Hill and D. J. Hawkes. Designing Grid-enabled image registration services for MIAKT. UK e-Science All Hands Meeting; 31st August - 3rd September, 2004; Nottingham, UK; 2004.

78. Heckemann, R. A., T. Hartkens, K. K. Leung, Y. Zheng, D. L. G. Hill, J. V. Hajnal and D. Rueckert. Information extraction from medical images: Developing an e-Science application based on the Globus toolkit. UK e-Science All Hands Meeting; 2-4 September, 2003; Nottingham, UK2003.

79. Zheng, Y., R. Allen and M. S. Nixon. Lumbar spine motion analysis via automatic segmentation. the 4th World Congress of Biomechanics; August 4-9th, 2002; Calgary, Canada2002.

80. Zheng, Y., M. S. Nixon and R. Allen. Automatic lumbar vertebrae registration using the Hough transform in digital videofluoroscopy.  the 7th Annual Scientific Conference of the Institute of Physics and Engineering in Medicine (IPEM); July-September 2001; Belfast, UK; 2001. p. 172-3.

81. Zheng, Y., M. S. Nixon and R. Allen. Automatic lumbar vertebrae segmentation in fluoroscopic images via optimised concurrent Hough transform. IEEE EMBC; 25-28 October, 2001; Istanbul, Turkey: IEEE; 2001.

82. Allen, R., Y. Zheng and M. S. Nixon. Measurement of the kinematics of the lumbar spine in vivo. International Conference on Biomechanics combined with Annual Scientific Meeting of Taiwanese Society of Biomechanics; 2001. p. 25.

83. Zheng, Y., M. S. Nixon and R. Allen. Lumbar spine location in fluoroscopic images by evidence gathering. Medical Image Understanding and Analysis (MIUA2000); 2000; London, UK; 2000. p. 45-8.

84. Zheng, Y., M. S. Nixon and R. Allen. Finding lumbar vertebrae by evidence gathering. The 6th Annual Scientific Conference of the Institute of Physics and Engineering in Medicine (IPEM2000); 2000; Southampton, UK; 2000. p. 95-6.

 

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Collaborations

My main cross-faculty collaborators within the University are

·         Prof Yaochun Shen at the Department of Electrical Engineering and Electronics on the development of new optical coherence tomography device.

·         Prof Frans Coenen at the Department of Computer Science on image mining and its applications.

·         Dr Waleed Al-Nuaimy

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Teaching

* For prospective students who have interest in my research (for details, see my Research and Publications pages), you are encouraged to contact me directly for further information.

 

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Galleries

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Team’s celebration: Merry Christmas Dec 2018

Celebration of Bryan’s successful ICURe camp! Nov 2018

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Huge congratulations to Dr Baidaa Al-bander for passing her VIVA at @livuniAgeing on 29 May 2018!!!

Liverpool's first 11 at #EASDec 2018. @LivOphth @livuniAgeing, 25 May 2018

My student Dr Nattapon Boonarpha (5th from left) celebrates graduation with other graduates of the IACD in July 2016

Photo with other keynote speakers and conference chairs of ICBISP’16 in November 2015 in Beijing China

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Photograph of the Ocular Biomechanics Group that I am working with. Taken on 24 October 2012

My first PhD student Hanafi Hijazi (centre), and supervisors Frans Coenen (left) and Yalin Zheng (right), after a successful defence of his thesis (11 July 2012)

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Some delegates after the 2nd International Workshop on Image Processing Techniques and Applications at the CMIT, University of Liverpool, Liverpool (23 June 2011)

 

 

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Useful Links

University of Liverpool

Webvision (online book)

 

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Last updated 01/04/2022