Dr Dong Li has medically qualified in China then further recieved his PhD qualification under the co- supervision from Harbin Medical University and Queen Mary Medical University (London). He joined in Middlesex University as a research associate in 2008.
I am fluent in Mandarin.
I support teaching for both UG and PG levels which are related to Histology.
My main interested reseach areas are:
1. Cancer diagnosis and therapeutics
2. Immunohistochemical applications
Gao, Xiaohong W. and Wen, Xuesong and Li, Dong and Liu, Xuefeng (2022) Identification of human papillomavirus from super resolution microscopic images generated using deep learning architectures. In: Deep Learning Applications, Volume 4. Wani, M. Arif and Palade, Vasile , eds. Advances in Intelligent Systems and Computing (AISC), 1434 . Springer. ISBN 9789811961526 (Accepted/In press)
Gao, Xiaohong W. and Wen, Xuesong and Li, Dong and Liu, Weiping and Xiong, Jichun and Xu, Bin and Liu, Juan and Zhang, Heng and Liu, Xuefeng (2022) Detection of human papillomavirus (HPV) from super resolution microscopic images applying an explainable deep learning network. In: SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, 20-22 Feb 2022, San Diego, USA.
Gao, Xiaohong W. and Wen, Xuesong and Li, Dong and Liu, Weiping and Xiong, Jichun and Xu, Bin and Liu, Juan and Zhang, Heng and Liu, Xuefeng (2021) Evaluation of GAN architectures for visualisation of HPV viruses from microscopic images. In: 20th IEEE ICMLA 2021, 13-16 Dec 2021, Virtual online.
Zuk, Anna Karolina and Burczynska, Beata and Li, Dong and Ghali, Lucy and Dilworth, Stephen M. and Wen, Xuesong (2020) Modelling and validating three-dimensional human breast and cancerous human breast tissues in vitro. Clinical Oncology and Research , 3 (4). pp. 1-9. ISSN 2613-4942
Akhtar, Anam and Ghali, Lucy and Wang, Scarlet Xiaoyan and Bell, Celia M. and Li, Dong and Wen, Xuesong (2019) Optimisation of folate-mediated liposomal encapsulated arsenic trioxide for treating HPV-positive cervical cancer cells in vitro. International Journal of Molecular Sciences , 20 (9). pp. 1-20. ISSN 1661-6596