Lihong Zheng

Personal profile

Currently Involved in research at Charles Sturt University.

Fingerprint Dive into the research topics where Lihong Zheng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Blood vessels Engineering & Materials Science

Gesture recognition Engineering & Materials Science

Support vector machines Engineering & Materials Science

Image enhancement Engineering & Materials Science

Neural networks Engineering & Materials Science

Medium access control Engineering & Materials Science

Time series Engineering & Materials Science

Classifiers Engineering & Materials Science

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Research Output 2003 2019

263 Citations
10 h-Index
39 Conference paper
18 Article
1 Chapter

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review

Soomro, T., Afifi, A. J., Zheng, L., Soomro, S., Gao, J., Hellwich, O. & Paul, M., 03 Jun 2019, In : IEEE Access. 7, p. 71696-71717 22 p.

Research output: Contribution to journal › Article

Blood vessels

Image analysis

Ophthalmology

Computer vision

Artificial intelligence

1 Citation (Scopus)

Retinal blood vessels extraction of challenging images

Soomro, T. A., Gao, J., Lihong, Z., Afifi, A. J., Soomro, S. & Paul, M., 16 Feb 2019, Data Mining - 16th Australasian Conference, AusDM 2018, Revised Selected Papers. Zhao, Y., Warwick, G., Stirling, D., Li, C-T., Koh, Y. S., Islam, R. & Islam, Z. (eds.). Springer-Verlag London Ltd., p. 347-359 13 p. (Communications in Computer and Information Science; vol. 996).

Research output: Book chapter/Published conference paper › Conference paper

Image enhancement

Blood Vessels

Blood vessels

Image Enhancement

Vessel

Sequential deep learning for action recognition with synthetic multi-view data from depth maps

Liang, B., Zheng, L. & Li, X., 2019, Data Mining - 16th Australasian Conference, AusDM 2018, Revised Selected Papers. Zhao, Y., Warwick, G., Stirling, D., Li, C-T., Koh, Y. S., Islam, R. & Islam, Z. (eds.). Springer-Verlag London Ltd., p. 360-371 12 p. (Communications in Computer and Information Science; vol. 996).

Research output: Book chapter/Published conference paper › Conference paper

Action Recognition

Depth Map

Recurrent neural networks

Neural networks

Motion

Strided Fully Convolutional Neural Network for Boosting the Sensitivity of Retinal Blood Vessels Segmentation

Soomro, T., Afifi, A. J., Gao, J., Hellwich, O., Zheng, L. & Paul, M., 24 May 2019, In : Expert Systems with Applications. 134, p. 36-52 17 p.

Research output: Contribution to journal › Article

Blood vessels

Neural networks

Principal component analysis

Processing

2 Citations (Scopus)

Strided U-Net model: Retinal vessels segmentation using dice loss

Soomro, T. A., Hellwich, O., Afifi, A. J., Gao, J., Paul, M. & Zheng, L., 16 Jan 2019, 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018. Pickering, M., Zheng, L., You, S., Rahman, A., Murshed, M., Asikuzzaman, M., Natu, A., Robles-Kelly, A. & Paul, M. (eds.). IEEE, Institute of Electrical and Electronics Engineers, 8 p. 8615770. (2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018).

Research output: Book chapter/Published conference paper › Conference paper

Retinal Vessels

Databases

Neural networks

Neural Networks (Computer)

Lighting