2019年的论文
期刊论文
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]