期刊论文

1. Xiang, S., Huang, Z., Wang, T., Han, Z., Christina, Y.Y., Ni, D.*, Huang, K.*, Zhang, J.*. Condition-specific gene co-expression network mining identifies key pathways and regulators in the brain tissue of alzheimer’s disease patients. BMC medical genomics, 11(6), 115 2018. [pdf]

2. Wang, Y., Huang, K., Chen, J., Luo, Y., Zhang, Y., Jia, Y., Xu, L., Chen, M., Huang, B., Ni, D.*, Zi-Ping Li*, Shi-Ting Feng*. Combined volumetric and density analyses of contrast- enhanced ct imaging to assess drug therapy response in gastroenteropancreatic neuroendocrine diffuse liver metastasis. Contrast Media & Molecular Imaging, 2018. [pdf]

3. Jun Cheng; Zhi Han; Rohit Mehra; Wei Shao; Michael Cheng; Qianjin Feng; Dong Ni*; Kun Huang*; Liang Cheng*; Jie Zhang*. Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma. Nature Communication, 2041-1723 2020-04. [pdf]

4. Chi, J., Shao, C., Zhang, Y., Ni, D.*, Kong, T.*, Zhao, Y.*. Magnetically responsive colloidal crystals with angle-independent gradient structural colors in microfluidic droplet arrays. Nanoscale, 11(27), 12898–12904 2019. [pdf]

5. Huang, W., Luo, M., Liu, X., Zhang, P., Ding, H., Xue, W., Ni, D.*. Arterial spin labeling images synthesis from smri using unbalanced deep discriminant learning. IEEE transactions on medical imaging, 38(10), 2338–2351 2019. [pdf]

6. Li, H., Fang, J., Liu, S., Liang, X., Yang, X., Mai, Z., Van, M.T., Wang, T., Chen, Z.*, Ni, D.*. Cr-unet: A composite network for ovary and follicle segmentation in ultrasound images. IEEE journal of biomedical and health informatics, 2019. [pdf]

7. Lin,Z.,Li,S.,Ni,D.,Liao,Y.,Wen,H.,Du,J.,Chen,S.,Wang,T.,Lei,B.. Multi- task learning for quality assessment of fetal head ultrasound images. Medical image analysis, 2019. [pdf]

8. Wang, Y., Dou, H., Hu, X., Zhu, L., Yang, X., Xu, M., Qin, J., Heng, P.A., Wang, T., Ni, D.*. Deep attentive features for prostate segmentation in 3d transrectal ultrasound. IEEE transactions on medical imaging. IEEE transactions on medical imaging, 2019. [pdf]

9. Wang, Y., Wang, N., Xu, M., Yu, J., Qin, C., Luo, X., Yang, X., Wang, T., Li, A., Ni, D.*. Deeply-supervised networks with threshold loss for cancer detection in automated breast ultrasound. IEEE transactions on medical imaging, 2019. [pdf]

10. Zhan, X., Cheng, J., Huang, Z., Han, Z., Helm, B., Liu, X., Zhang, J., Wang, T.F., Ni, D.*, Huang, K.*. Correlation analysis of histopathology and proteogenomics data for breast cancer. Molecular & Cellular Proteomics, 18(8 suppl 1), S37–S51 2019. [pdf]

11. X. Zhou, R. Molina, Y. Ma, TF. Wang and D. Ni. Parameter-free Gaussian PSF for Extended Depth of Field in Brightfield Microscopy. IEEE Transactions on Image Processing, . [pdf]

12. Sihong Chen, Jing Qin, Xing Ji, Baiying Lei, Tianfu Wang, Dong Ni. Automatic Scoring of Multiple Semantic Attributes with Multi-task Feature Leverage: A Study on Pulmonary Nodules in CT Images. IEEE Transactions on Medical Imaging, Vol. 36, No. 3, pp. 802-814 , March 2017 2017.

13. Lei B, Jiang F, Chen S, Ni D. Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning.. Frontiers in aging neuroscience, 2017;9 2017.

14. B. Lei, P. Yang, T. Wang, S. Chen and D. Ni. Relational-Regularized Discriminative Sparse Learning for Alzheimer’s Disease Diagnosis. IEEE Transactions on Cybernetics, vol. 47, no. 4, pp. 1102-1113, April 2017 2017.

15. Schumann, S., Liu, L., Tannast, M., Bergmann, M., Nolte, L. P., & Zheng, G.. An integrated system for 3D hip joint reconstruction from 2D X-rays: a preliminary validation study. Annals of biomedical engineering, 2013.41(10), 2077-2087 2013.

16. Yi Wang, Siping Chen, Tianfu Wang, Ting Zhou, Qiaoliang Li, Yi Zhen, Xin Chen. Development of a generic ultrasound vibro-acoustic imaging platform for tissue elasticity and viscosity. Journal of Innovative Optical Health Sciences, 2012, 5(01): 1250002 2012.

17. Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Baiying Lei, Tianfu Wang, Guorong Wu, and Dinggang Sh. Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. Med Image Comput Comput Assist Interv, 2016 October ; 9901: 247–255. 2016.

18. Dong Ni, Xin Yang, Xin Chen, Chien-Ting Chin, Siping Chen, Pheng Ann Heng, Shengli Li, Jing Qin, Tianfu Wang. Standard Plane Localization in Ultrasound by Radial Component Model and Selective Search. Ultrasound in Medicine & Biology, 2014, 40(11): 2728-2742 2014.

19. Lei, Baiying, Ee-Leng Tan, Siping Chen, Liu Zhuo, Shengli Li, Dong Ni，Tianfu Wang. Automatic Recognition of Fetal Facial Standard Plane in Ultrasound Image via Fisher Vector. Plos One, (2015): e0121838. 2015.

20. Dong Ni, Xing Ji, Min Wu, Wenlei Wang, Xiaoshuang Deng, Zhongyi Hu, Tianfu Wang, Dinggang Shen, Jie-Zhi Cheng,, Huifang Wang. Automatic Cystocele Severity Grading in Transperineal Ultrasound by Random Forest Regression. Pattern Recognition, 63: 551-560 2017.

21. L. Wu; J. Z. Cheng; S. Li; B. Lei; T. Wang; D. Ni. FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks. IEEE Transactions on Cybernetics, Vol. 47, No. 5, pp. 1336 – 1349 2017.

22. Hao Chen, Lingyun Wu, Qi Dou, Jing Qin, Shengli Li, Jie-Zhi Cheng, Dong Ni. Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. IEEE Transactions on Cybernetics , Vol. 47, No. 6, pp. 1576 – 1586 2017.

23. Yi Wang, Jie-Zhi Cheng, Dong Ni, Muqing Lin, Jing Qin, Xiongbiao Luo, Ming Xu, XiaoyanXie, Pheng-Ann Heng. Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration. IEEE Transactions on Medical Imaging, 2016, 35(2): 589-604 2016.

24. Yi Wang, Qingqing Zheng, Pheng-Ann Heng. Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration. IEEE Transactions on Medical Imaging, 2018, 37(4): 1067-1078. 2018.

25. Wufeng Xue, Gary Brahm, Sachin Pandey, Stephanie Leung, and Shuo Li. Full left ventricle quantification via deep multitask relationships learning. Medical Image Analysis, 43:54–65, Jan. 2018. 2018. [pdf] [code]

26. Wufeng Xue, Lei Zhang, Xuanqin Mou, and Alan C. Bovik. Gradient magnitude similarity deviation: A highly efficient perceptual image quality index. IEEE Transactions on Image Processing, 23(2): 684–695 Feb 2014.

会议论文

1. Wufeng Xue, Xuanqin Mou, Lei Zhang, and Xiangchu Feng. Perceptual fidelity aware mean squared error. ICCV, 2013.

2. Wufeng Xue, Lei Zhang, Xuanqin Mou. Learning without human scores for blind image quality assessment. CVPR, 2013.

3. Yang Xin, Ni Dong , Qin Jing, Li Shengli, Wang Tianfu, Chen Siping. Standard plane localization in ultrasound by radial component. IEEE International Symposium on Biomedical Imaging, 2014: 1180-1183. 2014.

4. Lingyun Wu, Xin Yang, Shengli Li, Tianfu Wang, Pheng-Ann Heng, Dong Ni. Cascaded Fully Convolutional Networks for Automatic Prenatal Ultrasound Image Segmentation. IEEE International Symposium on Biomedical Imaging, 2017.

5. Yang, X., Yu, L., Li, S., Wang, X., Wang, Ni, D. Qin, J., Pheng-Ann Heng. Towards Automatic Semantic Segmentation in Volumetric Ultrasound. Medical Image Computing and Computer Assisted Intervention （ MICCAI ）, 2017.

6. Li, J., Wang, Y., Lei, B., Cheng, J. Z., Qin, J., Wang, T., Li, S., Ni, D.. Automatic Fetal Head Circumference Measurement in Ultrasound using Random Forest and Fast Ellipse Fitting. IEEE Journal of Biomedical and Health Informatics, 2017.

7. Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warringto, and Shuo Li. Full quantification of left ventricle via deep multitask learning network respecting intra-and inter-task relatedness. MICCAI, 2017.

8. Wufeng Xue, Ilanit Ben Nachum, Sachin Pandey, James Warrington. Stephanie Leung, and Shuo Li. Direct estimation of regional wall thicknesses via residual recurrent neural network. In IPMI, 2017.

9. Wufeng Xue, Ali Islam, Mousumi Bhaduri, and Shuo Li. Direct multitype cardiac indices estimation via joint representation and regression learning. IEEE Transactions on Medical Imaging, 36(10):2057–2067, 2017 2017.

10. Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dong Ni. Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. International Conference on Medical Image Computing and Computer Assisted Intervention , 2018.