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.
Top
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
Top
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.
Top
Galleries
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Team’s celebration:
Merry Christmas Dec 2018
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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!!!
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Liverpool's first 11 at
#EASDec 2018. @LivOphth @livuniAgeing, 25 May 2018
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My student Dr Nattapon
Boonarpha (5th from left) celebrates graduation with other
graduates of the IACD in July 2016
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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
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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)
Top
