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All Outputs (21)

Sex-specific hippocampal metabolic signatures at the onset of systemic inflammation with lipopolysaccharide in the APPswe/PS1dE9 mouse model of Alzheimer's disease (2019)
Journal Article
Agostini, A., Yuchun, D., Li, B., Kendall, D. A., & Pardon, M. (2020). Sex-specific hippocampal metabolic signatures at the onset of systemic inflammation with lipopolysaccharide in the APPswe/PS1dE9 mouse model of Alzheimer's disease. Brain, Behavior, and Immunity, 83, 87-111. https://doi.org/10.1016/j.bbi.2019.09.019

Systemic inflammation enhances the risk and progression of Alzheimer's disease (AD). Lipopolysaccharide (LPS), a potent pro-inflammatory endotoxin produced by the gut, is found in excess levels in AD where it associates with neurological hallmarks of... Read More about Sex-specific hippocampal metabolic signatures at the onset of systemic inflammation with lipopolysaccharide in the APPswe/PS1dE9 mouse model of Alzheimer's disease.

Myoinositol CEST signal in animals with increased Iba-1 levels in response to an inflammatory challenge—Preliminary findings (2019)
Journal Article
Yanez Lopez, M., Pardon, M., Baiker, K., Prior, M., Yuchun, D., Agostini, A., …Faas, H. M. (2019). Myoinositol CEST signal in animals with increased Iba-1 levels in response to an inflammatory challenge—Preliminary findings. PLoS ONE, 14(2), Article e0212002. https://doi.org/10.1371/journal.pone.0212002

Neuroinflammation plays an important role in the pathogenesis of a range of brain disorders. Non-invasive imaging of neuroinflammation is critical to help improve our understanding of the underlying disease mechanisms, monitor therapies and guide dru... Read More about Myoinositol CEST signal in animals with increased Iba-1 levels in response to an inflammatory challenge—Preliminary findings.

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, 35(4), Article e3177. https://doi.org/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 about Accurate Monte Carlo simulation of frequency-domain optical coherence tomography.

Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images (2018)
Conference Proceeding
Bukenya, F., Awwad, A., Duan, J., Ehling, J., Faas, H., & Bai, L. (2018). Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (1508-1514). https://doi.org/10.1109/SSCI.2018.8628675

Blood vessel segmentation helps to know the progress of the disease during diagnosis. The presence of intensity in-homogeneity, conglutination tissue and noise in medical images has led to difficulty in extraction of different sizes of blood vessels,... Read More about Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images.

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 Conference (648-653). https://doi.org/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 sensor equipped nodes... Read More about Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster.

Dynamic metabolic patterns tracking neurodegeneration and gliosis following 26S proteasome dysfunction in mouse forebrain neurons (2018)
Journal Article
Geiszler, P. C., Ugun-Klusek, A., Lawler, K., Pardon, M., Yuchun, D., Bai, L., …Bedford, L. (in press). Dynamic metabolic patterns tracking neurodegeneration and gliosis following 26S proteasome dysfunction in mouse forebrain neurons. Scientific Reports, 8, Article 4833. https://doi.org/10.1038/s41598-018-23155-2

Metabolite profiling is an important tool that may better capture the multiple features of neurodegeneration. With the considerable parallels between mouse and human metabolism, the use of metabolomics in mouse models with neurodegenerative pathology... Read More about Dynamic metabolic patterns tracking neurodegeneration and gliosis following 26S proteasome dysfunction in mouse forebrain neurons.

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, https://doi.org/10.1016/j.dsp.2017.07.001

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 about Introducing anisotropic tensor to high order variational model for image restoration.

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. https://doi.org/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 about Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance.

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), Article e0179161. https://doi.org/10.1371/journal.pone.0179161

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 about A portable image-based cytometer for rapid malaria detection and quantification.

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, https://doi.org/10.1109/TCSVT.2017.2699676

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 about Inverse nonnegative local coordinate factorization for visual tracking.

3D segmentation of the whole heart vasculature using improved multi-threshold Otsu and white top-hat scale space hessian based vessel filter (2016)
Conference Proceeding
Bukenya, F., Ehling, J., Kalema, A. K., Eyoh, I., Robert, J., & Bai, L. (2016). 3D segmentation of the whole heart vasculature using improved multi-threshold Otsu and white top-hat scale space hessian based vessel filter. In Proceedings - 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (1-7). https://doi.org/10.1109/SSCI.2016.7850137

Quantification of vessel density helps to know the stage of the disease during diagnosis and patient's response to treatment. However, this requires presence of all vessels in the image. The available segmentation techniques that are manual based are... Read More about 3D segmentation of the whole heart vasculature using improved multi-threshold Otsu and white top-hat scale space hessian based vessel filter.

Novel Methods for Microglia Segmentation, Feature Extraction, and Classification (2016)
Journal Article
Ding, Y., Pardon, M. C., 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, 14(6), 1366-1377. https://doi.org/10.1109/TCBB.2016.2591520

© 2017 IEEE. 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 histo... Read More about Novel Methods for Microglia Segmentation, Feature Extraction, and Classification.

Tracking tracer motion in a 4-D electrical resistivity tomography experiment (2016)
Journal Article
Ward, W. O., Wilkinson, P. B., Chambers, J. E., Nilsson, H., Kuras, O., & Bai, L. (in press). Tracking tracer motion in a 4-D electrical resistivity tomography experiment. Water Resources Research, 52(5), https://doi.org/10.1002/2015WR017958

A new framework for automatically tracking subsurface tracers in electrical resistivity tomography (ERT) monitoring images is presented. Using computer vision and Bayesian inference techniques, in the form of a Kalman filter, the trajectory of a subs... Read More about Tracking tracer motion in a 4-D electrical resistivity tomography experiment.

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, Article 82870. https://doi.org/10.1155/2015/582870

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 about Spherical harmonics for surface parametrisation and remeshing.

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), 943-978. https://doi.org/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 about Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics.

Spatial monitoring of groundwater drawdown and rebound associated with quarry dewatering using automated time-lapse electrical resistivity tomography and distribution guided clustering (2015)
Journal Article
Chambers, J. E., Meldrum, P. I., Wilkinson, P. B., Ward, W. O., Jackson, C. R., Matthew, B., …Gunn, D. (2015). Spatial monitoring of groundwater drawdown and rebound associated with quarry dewatering using automated time-lapse electrical resistivity tomography and distribution guided clustering. Engineering Geology, 193, https://doi.org/10.1016/j.enggeo.2015.05.015

Dewatering systems used for mining and quarrying operations often result in highly artificial and complex groundwater conditions, which can be difficult to characterise and monitor using borehole point sampling approaches. Here automated time-lapse e... Read More about Spatial monitoring of groundwater drawdown and rebound associated with quarry dewatering using automated time-lapse electrical resistivity tomography and distribution guided clustering.

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), https://doi.org/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 about Three-dimensional vessel segmentation using a novel combinatory filter framework.