1. Meng Wang, Weifang Zhu, Kai Yu, Zhongyue Chen, Fei Shi, Yi Zhou, Yuhui Ma, Yuanyuan Peng, Dengsen Bao, Lei Ye, Dehui Xiang, Xinjian Chen. Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images. IEEE TRANSACTIONS ON MEDICAL IMAGING,2021.[PDF]

2. Ming Liu, Xinjian Chen, Bo Wang. Axial and horizontal registration guided speckle suppression in single-line HD mode for retinal optical coherence tomography images. Optics Communications,2021.[PDF]

3. Yuanyuan Peng, Weifang Zhu, Zhongyue Chen, Meng Wang, Le Geng, Kai Yu, Yi Zhou, Ting Wang, Daoman Xiang, Feng Chen and Xinjian Chen. Automatic Staging for Retinopathy of Prematurity with Deep Feature Fusion and Ordinal Classification Strategy. IEEE TRANSACTIONS ON MEDICAL IMAGING,2021.[PDF]

4. Qingquan Meng, Chang Zuo, Fei Shi, Weifang Zhu, Dehui Xiang, Haoyu Chen and Xinjian Chen. Three-dimensional choroid neovascularization growth prediction from longitudinal retinal OCT images based on a hybrid model. Pattern Recognition Letters,2021.[PDF]

5. Ming Liu, Xinjian Chen, Bo Wang. Automatic focus method using interference fringes magnitudes in retinal optical coherence tomography. Optical Engineering, 2021.[PDF]

6. Qingquan Meng, Lianyu Wang, Tingting Wang, Meng Wang, Weifang Zhu, Fei Shi, Zhongyue Chen and Xinjian Chen. MF-Net: Multi-Scale Information Fusion Network for CNV Segmentation in Retinal OCT Images. Frontiers In Neuroscience, 2021.[PDF]

7. Lingjiao Pan and Xinjian Chen. Retinal OCT Image Registration: Methods and Applications. IEEE Reviews in Biomedical Engineering,2021.[PDF]

8. Baoqing Nie,Jialei Geng,Ting Yao,Yihui Miao,Yiqiu Zhang,Xinjian Chen,Jian Liu. Sensing arbitrary contact forces with a flexible porous dielectric elastomer. Materials Horizons, 2021.[PDF]

9. B. Nie, S. Liu, Q. Qu, Y. Zhang, M. Zhao, J. Liu. Bio-inspired Flexible Electronics for Smart E-skin. Acta Biomaterialia, 2021.[PDF]

10. X. Miao, Q. Fang, X. Xiao, S. Liu, R. Wu, J. Yan, B. Nie*, J. Liu*. Integrating Cycled Enzymatic DNA Amplification and Surface-Enhanced Raman Scattering for Sensitive Detection of Circulating Tumor DNA. Frontiers in Molecular Biosciences, 2021.[PDF]

11. Qianlong Zhu, Xinjian Chen, Qingquan Meng, Jiahuan Song, Gaohui Luo, Meng Wang, Fei Shi, Zhongyue Chen, Dehui Xiang, Lingjiao Pan, Zuoyong Li and Weifang Zhu. GDCSeg-Net: general optic disc and cup segmentation network for multi-device fundus images. Biomedical Optics Express,2021.[PDF]

12. Fei Shi,Xuena Cheng,Shuanglang Feng,Changqing Yang,Shengyong Diao,Weifang Zhu,Dehui Xiang,Qiuying Chen,Xun Xu,Xinjian Chen. Group-wise context selection network for choroid segmentation in optical coherence tomography. Physics in Medicine & Biology,2021.[PDF]

13. Peng, Yuanyuan, Cuilian Li, Yibiao Rong, Chi Pui Pang, Xinjian Chen, and Haoyu Chen. Real-time prediction of the daily incidence of COVID-19 in all countries and territories individually using machine learning: an infodemiology study.Journal of Medical Internet Research(2021).[PDF]

1. Qianlong Zhu, Gaohui Luo, Xinjian Chen, Fei Shi, Lingjiao Pan and Weifang Zhu. Joint optic disc and cup segmentation based on multi-module U-shaped network, SPIE Medical Imaging 2021: Image Processing.[PDF]

2. Mulin Cai, Dehui Xiang, Shengxue Pan, Fei Shi, Weifang Zhu and Xinjian Chen. A Generative Adversarial Framework for Capillary Non-perfusion Regions Segmentation in Fundus Fluorescein Angiograms, SPIE Medical Imaging 2021: Image Processing.[PDF]

3. Yichao Diao, Xinjian Chen, Ying Fan, Jiamin Xie, Qiuying Chen, Lingjiao Pan, Weifang Zhu. Segmentation of RBCC disruption and myopic stretch line in retinal OCT images using an improved U-shape network, SPIE Medical Imaging 2021: Image Processing.[PDF]

4. Gaohui Luo, Qianlong Zhu, Xinjian Chen, Fei Shi, Ying Fan, Jiaming Xie, Qiuying Chen, Lingjiao Pan and Weifang Zhu. SGCNet: A scale-aware and global context network for linear lesion segmentation in MCSL fundus images of high myopia, SPIE Medical Imaging 2021: Image Processing.[PDF]

5. Chenpu Yao, Weifang Zhu, Meng Wang, Liangjiu Zhu, Haifan Huang, Haoyu Chen and Xinjian Chen. SANet: A self-adaptive network for hyperreflective foci segmentation in retinal OCT images, SPIE Medical Imaging 2021: Image Processing.[PDF]

6. Yanqing Ye, Xinjian Chen, Fei Shi, Dehui Xiang, Lingjiao Pan and Weifang Zhu. Context attention-and-fusion network for multiclass retinal fluid segmentation in OCT images, SPIE Medical Imaging 2021: Image Processing.[PDF]

7. Jiahuan Song, Xinjian Chen and Weifang Zhu. Cascaded Multi-Scale Feature Interaction for choroidal atrophy segmentation, SPIE Medical Imaging 2021: Image Processing.[PDF]

8. Changqing Yang, Xinjian Chen, Jinzhu Su, Weifang Zhu, Qiuying Chen, Jiayi Yu, Ying Fan and Fei Shi. Segmentation of retinal detachment and retinoschisis in OCT images based on improved U-shaped network with cross-fusion global feature module, SPIE Medical Imaging 2021: Image Processing.[PDF]

9. Yuanyuan Peng, Weifang Zhu, Feng Chen and Xinjian Chen. Automated zone recognition for retinopathy of prematurity using deep neural network with attention mechanism and deep supervision strategy, SPIE Medical Imaging 2021: Image Processing.[PDF]

10. Changxing Yang, Dehui Xiang, Yun Bian, Jianping Lu, Hui Jiang and Jianming Zheng. Gland Segmentation in Pancreas Histopathology Images Based on Selective Multi-scale Attention, SPIE Medical Imaging 2021: Image Processing.[PDF]

11. Shengxue Pan, Dehui Xiang, Yun Bian, Jianping Lu, Hui Jiang and Jianming Zheng. Automatic Pancreas Segmentation in Abdominal CT Image with Contrast Enhancement Block, SPIE Medical Imaging 2021: Image Processing.[PDF]

12. Yunzhen Peng, Xinjian Chen, Dehui Xiang, Gaohui Luo and Mulin Cai. Keypoint Matching Networks for Longitudinal Fundus Image Affine Registration, SPIE Medical Imaging 2021: Image Processing.[PDF]

13. Lianyu Wang, Zhongyue Chen, Meng Wang, Tingting Wang, Weifang Zhu, Xinjian Chen. CYCLE ADAPTIVE MULTI-TARGET WEIGHTING NETWORK FOR AUTOMATED DIABETIC RETINOPATHY SEGMENTATION, ISBI 2021.[PDF]

14. Tingting Wang, Weifang Zhu, Meng Wang, Zhongyue Chen, Xinjian Chen. CU-SEGNET : CORNEAL ULCER SEGMENTATION NETWORK, ISBI 2021.[PDF]

15. Yi. Zhou, J. Li, M. Wang, W. Zhu, Y. Peng, Z. Chen, L. Wang, T. Wang, C. Yao, T. Wang, and X. Chen. High-resolution hierarchical adversarial learning for oct speckle noise reduction, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021.[PDF]

16.  Lianyu Wang, et al. Cycle Adaptive Multi-Target Weighting Network for Automated Diabetic Retinopathy Segmentation. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, 2021.[PDF]

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