Xu, H., Dong, M., Lee, M.-H., O’Hara, N., Asano, E., & Jeong, J.-W. (2019). Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery Using Diffusion Tractography and Convolutional Neural Networks. IEEE Transactions on Medical Imaging, 38(8), 13. http://doi.org/10.1109/TMI.2019.2902073
Ming Dong
First name
Ming
Last name
Dong
Chen, S., Zhang, C., & Dong, M. (2018). Deep Age Estimation: From Classification to Ranking. IEEE Transactions on Multimedia, 20(8), 14. http://doi.org/10.1109/TMM.2017.2786869
Chen, S., Zhang, C., & Dong, M. (2018). Coupled End-to-End Transfer Learning with Generalized Fisher Information. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (p. 10). http://doi.org/10.1109/CVPR.2018.00455
Wang, L., Zhu, D., Towner, E., & Dong, M. (2018). Obesity risk factors ranking using multi-task learning. In 2018 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (p. 4). http://doi.org/10.1109/BHI.2018.8333449
Wang, L., Zhu, D., Dong, M., & Li, Y. (2017). Modeling Over-Dispersion for Network Data Clustering. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (p. 8). http://doi.org/10.1109/ICMLA.2017.0-180
Xu, H., Dong, M., & Zhong, Z. (2017). Directionally Convolutional Networks for 3D Shape Segmentation. In 2017 IEEE International Conference on Computer Vision (ICCV) (p. 10). http://doi.org/10.1109/ICCV.2017.294
Feng, X., Dong, M., Levy, P., & Xu, Y. (2017). Non-contact Home Health Monitoring Based on Low-Cost High-Performance Accelerometers. In 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (p. 9). http://doi.org/10.1109/CHASE.2017.119
Chen, S., Zhang, C., Dong, M., Le, J., & Rao, M. (2017). Using Ranking-CNN for Age Estimation. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (p. 10). http://doi.org/10.1109/CVPR.2017.86
Mao, Q., Rao, Q., Yu, Y., & Dong, M. (2017). Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition. IEEE Transactions on Multimedia, 19(4), 13. http://doi.org/10.1109/TMM.2016.2629282