Research Repository

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Accurate Monte Carlo simulation of frequency-domain optical coherence tomography (2019)
Journal Article
Wang, Y., & Bai, L. (2019). Accurate Monte Carlo simulation of frequency-domain optical coherence tomography. International Journal for Numerical Methods in Biomedical Engineering, doi:10.1002/cnm.3177

Optical coherence Tomography (OCT) relies on optical interferometry to provide non‐invasive imaging of living tissues. In addition to its 3D imaging capacity for medical diagnosis, its potential use for recovering optical parameters of biological tis... Read More

Towards better understanding the challenges of reliable and trust-aware critical communications in the aftermath of disaster (2018)
Conference Proceeding
Radenkovic, M., Walker, A., & Bai, L. (2018). Towards better understanding the challenges of reliable and trust-aware critical communications in the aftermath of disaster. In IWCMC 2018: the 14th International Wireless Communications & Mobile Computing Conferencedoi:10.1109/IWCMC.2018.8450430

This paper seeks to better understand the highly multi-dimensional, multi-faceted challenges of meeting trust and reliability requirements in critical, disaster aftermath communication networks comprising heterogeneous groups of nodes. Through emulat... Read More

Introducing anisotropic tensor to high order variational model for image restoration (2017)
Journal Article
Duan, J., Ward, W. O., Sibbett, L., Pan, Z., & Bai, L. (in press). Introducing anisotropic tensor to high order variational model for image restoration. Digital Signal Processing, doi:10.1016/j.dsp.2017.07.001. ISSN 1051-2004

Second order total variation (SOTV) models have advantages for image restoration over their first order counterparts including their ability to remove the staircase artefact in the restored image. However, such models tend to blur the reconstructed i... Read More

Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance (2017)
Journal Article
Duan, J., Tench, C., Gottlob, I., Proudlock, F., & Bai, L. (2017). Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance. Pattern Recognition, 72, 158-175. doi:10.1016/j.patcog.2017.07.004

Optical coherence tomography (OCT) is a noninvasive imaging technique that can produce images of the eye at the microscopic level. OCT image segmentation to detect retinal layer boundaries is a fundamental procedure for diagnosing and monitoring the... Read More

A portable image-based cytometer for rapid malaria detection and quantification (2017)
Journal Article
Yang, D., Subramanian, G., Duan, J., Gao, S., Bai, L., Chandramohanadas, R., & Ai, Y. (2017). A portable image-based cytometer for rapid malaria detection and quantification. PLoS ONE, 12(6), doi:10.1371/journal.pone.0179161. ISSN 1932-6203

Increasing resistance by malaria parasites to currently used antimalarials across the developing world warrants timely detection and classification so that appropriate drug combinations can be administered before clinical complications arise. However... Read More

Inverse nonnegative local coordinate factorization for visual tracking (2017)
Journal Article
Liu, F., Zhou, T., Gong, C., Fu, K., Bai, L., & Yang, J. (in press). Inverse nonnegative local coordinate factorization for visual tracking. IEEE Transactions on Circuits and Systems for Video Technology, doi:10.1109/TCSVT.2017.2699676. ISSN 1051-8215

Recently, nonnegative matrix factorization (NMF) with part based representation has been widely used for appearance modelling in visual tracking. Unfortunately, not all the targets can be successfully decomposed as "parts" unless some rigorous condit... Read More

Novel Methods for microglia segmentation, feature extraction and classification (2016)
Journal Article
Ding, Y., Pardon, M., Agostini, A., Faas, H., Duan, J., Ward, W. O., …Bai, L. (2016). Novel Methods for microglia segmentation, feature extraction and classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics, doi:10.1109/TCBB.2016.2591520. ISSN 1545-5963

Segmentation and analysis of histological images provides a valuable tool to gain insight into the biology and function of microglial cells in health and disease. Common image segmentation methods are not suitable for inhomogeneous histology image an... Read More

Spherical harmonics for surface parametrisation and remeshing (2015)
Journal Article
Nortje, C. R., Ward, W. O., Neuman, B. P., & Bai, L. (in press). Spherical harmonics for surface parametrisation and remeshing. Mathematical Problems in Engineering, 2015, doi:10.1155/2015/582870. ISSN 1024-123X

This paper proposes a novel method for parametrisation and remeshing incomplete and irregular polygonal meshes. Spherical harmonics basis functions are used for parametrisation. This involves least squares fitting of spherical harmonics basis functio... Read More

Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics (2015)
Journal Article
Zhou, D., Dryden, I. L., Koloydenko, A. A., Audenaert, K. M., & Bai, L. (2016). Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics. Journal of Applied Statistics, 43(5), doi:10.1080/02664763.2015.1080671

Practical statistical analysis of diffusion tensor images is considered, and we focus primarily on methods that use metrics based on Euclidean distances between powers of diffusion tensors. First we describe a family of anisotropy measures based on a... Read More

Three-dimensional vessel segmentation using a novel combinatory filter framework (2014)
Journal Article
Ding, Y., Ward, W., Wästerlid, T., Gowland, P., Peters, A., Yang, J., …Bai, L. (2014). Three-dimensional vessel segmentation using a novel combinatory filter framework. Physics in Medicine and Biology, 59(22), doi:10.1088/0031-9155/59/22/7013

Blood vessel segmentation is of great importance in medical diagnostic applications. Filter based methods that make use of Hessian matrices have been found to be very useful for blood vessel segmentation in both 2D and 3D medical images. However, the... Read More

Distribution-based fuzzy clustering of electrical resistivity tomography images for interface detection (2014)
Journal Article
Ward, W. O., Wilkinson, P. B., Chambers, J. E., Oxby, L. S., & Bai, L. (2014). Distribution-based fuzzy clustering of electrical resistivity tomography images for interface detection. Geophysical Journal International, 197(1), doi:10.1093/gji/ggu006. ISSN 0956-540X

A novel method for the effective identification of bedrock subsurface elevation from electrical resistivity tomography images is described. Identifying subsurface boundaries in the topographic data can be difficult due to smoothness constraints used... Read More