Outputs (21)

A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets (2019)
Presentation / Conference Contribution
Shen, Z., Chen, X., & Garibaldi, J. M. (2019, June). A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets. Presented at 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA

In this paper, we propose a novel weighted combination feature selection method using bootstrap and fuzzy sets. The proposed method mainly consists of three processes, including fuzzy sets generation using bootstrap, weighted combination of fuzzy set... Read More about A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets.

Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework (2019)
Presentation / Conference Contribution
Shen, Z., Chen, X., & Garibaldi, J. (2018, October). Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework. Presented at Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan

© 2018 IEEE. In this paper, based on a fuzzy entropy feature selection framework, different methods have been implemented and compared to improve the key components of the framework. Those methods include the combinations of three ideal vector calcul... Read More about Performance Optimization of a Fuzzy Entropy Based Feature Selection and Classification Framework.

Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site (2018)
Journal Article
Chen, X., Abbey, S., Bharmal, A., Harris, S., Hudson, E., Krinner, L., Langan, E., Maling, A., Nijran, J., Street, H., Wooley, C., & Billeter, R. (2019). Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site. Scandinavian Journal of Medicine and Science in Sports, 29(4), 504-514. https://doi.org/10.1111/sms.13369

A density model of neurovascular structures was generated from 28 human vastus lateralis muscles isolated from embalmed cadavers. The intramuscular portion of arteries, veins and nerves was dissected, traced on transparencies and digitised before adj... Read More about Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site.

Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy (2018)
Journal Article
Chen, X., Graham, J., Petropoulos, I. N., Ponirakis, G., Asghar, O., & Alam, U. (2018). Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy. Investigative Ophthalmology & Visual Science, 59(2), https://doi.org/10.1167/iovs.17-23342

Objective: Corneal confocal microscopy (CCM), an in vivo ophthalmic imaging modality, is a noninvasive and objective imaging biomarker for identifying small nerve fiber damage. We have evaluated the diagnostic performance of previously established CC... Read More about Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy.

Efficient deformable motion correction for 3-D abdominal MRI using manifold regression (2017)
Presentation / Conference Contribution
Chen, X., Balfour, D. R., Marsden, P. K., Reader, A. J., Prieto, C., & King, A. P. Efficient deformable motion correction for 3-D abdominal MRI using manifold regression. Presented at International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017)

We present a novel framework for efficient retrospective respiratory motion correction of 3-D abdominal MRI using manifold regression. K-space data are continuously acquired under free breathing using the stack-of-stars radial gold-en-angle trajector... Read More about Efficient deformable motion correction for 3-D abdominal MRI using manifold regression.

High-resolution self-gated dynamic abdominal MRI using manifold alignment (2017)
Journal Article
Chen, X., Usman, M., Baumgartner, C. F., Balfour, D. R., Marsden, P. K., Reader, A. J., Prieto, C., & King, A. P. (2017). High-resolution self-gated dynamic abdominal MRI using manifold alignment. IEEE Transactions on Medical Imaging, 36(4), https://doi.org/10.1109/TMI.2016.2636449

We present a novel retrospective self-gating method based on manifold alignment (MA), which enables reconstruction of free-breathing, high spatial and temporal resolution abdominal MRI sequences. Based on a radial golden-angle (RGA) acquisition traje... Read More about High-resolution self-gated dynamic abdominal MRI using manifold alignment.

A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images (2016)
Journal Article
Al-Fahdawi, S., Qahwaji, R., Al-Waisy, A. S., Ipson, S., Malik, R. A., Brahma, A., & Chen, X. (2016). A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images. Computer Methods and Programs in Biomedicine, 135, https://doi.org/10.1016/j.cmpb.2016.07.032

Diabetic Peripheral Neuropathy (DPN) is one of the most common types of diabetes that can affect the cornea. An accurate analysis of the nerve structures can assist the early diagnosis of this disease. This paper proposes a robust, fast and fully aut... Read More about A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images.

An automatic tool for quantification of nerve fibers in corneal confocal microscopy images (2016)
Journal Article
Chen, X., Graham, J., Dabbah, M., Petropoulos, I. N., Tavakoli, M., & Malik, R. (2016). An automatic tool for quantification of nerve fibers in corneal confocal microscopy images. IEEE Transactions on Biomedical Engineering, 64(4), 786-794. https://doi.org/10.1109/TBME.2016.2573642

Objective: We describe and evaluate an automated software tool for nerve-fiber detection and quantification in corneal confocal microscopy (CCM) images, combining sensitive nerve- fiber detection with morphological descriptors. Method: We have evalua... Read More about An automatic tool for quantification of nerve fibers in corneal confocal microscopy images.

Small nerve fibre quantification in the diagnosis of diabetic sensorimotor polyneuropathy: comparing corneal confocal microscopy with intraepidermal nerve fibre density (2015)
Journal Article
Chen, X., Graham, J., Dabbah, M., Petropoulos, I. N., Ponirakis, G., Asghar, O., Alam, U., Marshall, A., Fadavi, H., Ferdousi, M., Azmi, S., Tavakoli, M., Efron, N., Jeziorska, M., & Malik, R. A. (2015). Small nerve fibre quantification in the diagnosis of diabetic sensorimotor polyneuropathy: comparing corneal confocal microscopy with intraepidermal nerve fibre density. Diabetes Care, 38(6), 1138-1144. https://doi.org/10.2337/dc14-2422

OBJECTIVE: Quantitative assessment of small fiber damage is key to the early diagnosis and assessment of progression or regression of diabetic sensorimotor polyneuropathy (DSPN). Intraepidermal nerve fiber density (IENFD) is the current gold standard... Read More about Small nerve fibre quantification in the diagnosis of diabetic sensorimotor polyneuropathy: comparing corneal confocal microscopy with intraepidermal nerve fibre density.

Automatic generation of statistical pose and shape models for articulated joints (2013)
Journal Article
Chen, X., Graham, J., Hutchinson, C., & Muir, L. (2013). Automatic generation of statistical pose and shape models for articulated joints. IEEE Transactions on Medical Imaging, 33(2), https://doi.org/10.1109/TMI.2013.2285503

Statistical analysis of motion patterns of body joints is potentially useful for detecting and quantifying pathologies. However, building a statistical motion model across different subjects remains a challenging task, especially for a complex joint... Read More about Automatic generation of statistical pose and shape models for articulated joints.