YANG Hongfei
Yang Hongfei is interested in applying deep learning methods and image processing methods to tackle healthcare challenges.
Affiliation
- NUS Saw Swee Hock School of Public Health
Research Areas
- Deep learning methods and their applications in medical image processing and healthcare data analysis
Academic/Professional Qualifications
- Post-doc (2018-2020), the Chinese University of Hong Kong and the City University of Hong Kong
- PhD (2013-2018), University of Nottingham
- MSc (2011-2012), University of Nottingham
- Bachelor (2007-2011), the Hong Kong Baptist University
Selected Publications
- Yang, H.; Ding, X.; Chan, R.; Hu, H.; Peng, Y.; Zeng, T. A new initialization method based on normed statistical spaces in deep networks. Accepted: Inverse Problems & Imaging.
- Cai, X.; Chan, R.; Yang, H.; Zeng, T. Smoothing and Thresholding: A Flexible Methodology for Image Segmentation. SIAM News, September 2019.
- Chan, R.; Yang, H.; Zeng, T. A two-stage image segmentation method for blurry images with Poisson or multiplicative gamma noise. SIAM J. Imaging Sci. 7 (2014), no. 1, 98–127.