Chunxiao Liu, Fangfang Dong, Shengfeng Zhu, Dexing Kong and Kefeng Liu, New variational formulations for level set evolution without reinitialization with applications to image segmentation,Journal of Mathematical Imaging and Vision,41(3),2011,194-209.

Fangfang Dong, Jianbin Yang and Chunxiao Liu, A  fast algorithm for vectorial TV-based image restoration,International Journal of Numerical Analysis and Modelling,7(4),2010,700-717.

Fangfang Dong, Haili Zhang and De-Xing Kong, Nonlocal total variation models for multiplicative noise removal using split Bregman iteration,Mathematical and Computer Modelling,55,2012,939–954.

Fangfang Dong, Chunxiao Liu and De-Xing Kong, A fast algorithm for image segmentation based on fuzzy region competition,2011-09-23,Advances in Computational Mathematics,37,2012,521-542.

Jialin Peng, Fangfang Dong, De-Xing Kong, Recent advances of variational model in medical imaging and applications to computer aided surgery, Applied Mathematics A Journal of Chinese Universities,2012, 27(4):379-411.

Fangfang Dong, Zengsi Chen, Jinwei Wang, A new level set method for inhomogeneous image segmentation,Image and Vision Computing,31,2013,809-822.

Zengsi Chen, Jinwei Wang, Dexing Kong, FangfangDong (Corresponding author), A nonlocal energy minimization approach to brain image segmentation with simultaneous bias field estimation and denoising,Machine Vision and Applications,25,2014,529-544. 

Fangfang Dong, Jialin Peng, Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization,Journal of Visual Communication and Image Representation,2014,25(5),827-839.

Jialin Peng, Fangfang Dong, Yunmei Chen, De-Xing Kong, A region-appearance-based adaptive variaitonal model for 3D liver segmentation, Medical Physics,2014, 41(4): 043502.

Fangfang Dong, Yunmei Chen, Dexing Kong, Bailin Yang, Salt and pepper noise removal based on an approximation of l0 norm,Computers and Mathematics with Applications,2015, 70, 789-804.

Fangfang Dong, Yunmei Chen, A fractional-order derivative based variational framework for image denoising,Inverse Problems and Imaging,2016, 10(1), 27-50.

Qianting Ma, Fangfang Dong, Dexing Kong, A fractional differential fidelity-based PDE model for image denoising, Machine Vision and Applications,2017, 28, 635-647. 

Fangfang Dong, Qianting Ma, Single image blind deblurring based on the fractional-order differential,Computers and Mathematics with Applications,2019,78(6), 1960-1977. 

Bailin Yang, Meiying Yan, Zaoming Yan, Changrui Zhu, Dong Xu, Fangfang Dong （Corresponding author）,Segmentation and classification of thyroid follicular neoplasm using cascaded convolutional neural network,Physics in medicine and biology,2020, 65(24), 245040.

Fangfang Dong, Nannan Li, Multiplicative noise removal and blind inpainting of ultrasound images based on a new variational framework,Machine Vision and Applications,2021, 32: 86-100.

Fangfang Dong, Dengyang Wu, Chenying Guo, Shuting Zhang, Bailin Yang, Xiangyang Gong，CRAUNet: A cascaded residual attention U-Net for retinal vessel segmentation，Computers in Biology and Medicine,2022,147:105651.