论文

按年份

• 2020
• 2019
• 2018
• 2017
• 2016
• 2015
• 2014
• 2013
• 2012

按研究方向

• Intelligent obstetric ultrasound
• image restoration
• image registration
• image processing
• Cardiac Image Analysis
• Breast Ultrasound
• image registration

• 1. Yang, X., Yu, L., Li, S.*, Wen, H., Luo, D., Bian, C., Qin, J., Ni, D.*, Heng, P.A.. Towards automated semantic segmentation in prenatal volumetric ultrasound. IEEE transactions on medical imaging, 38(1), 180–193 2018. [pdf]

• 2. 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]

• 3. 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]

• 4. 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]

• 5. Liu, S., Wang, Y., Yang, X., Lei, B., Liu, L., Li, S.X., Ni, D.*. Deep learning in medical ultrasound analysis: a review. Engineering, 2019. [pdf]

• 6. 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]

• 7. 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]

• 8. 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]

• 9. Lin, C., Wang, Y., Wang, T., Ni, D.. Low-rank based image analyses for pathological mr image segmentation and recovery. Frontiers in neuroscience, 2019. [pdf]

• 10. 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]