2017年的论文

期刊论文

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

会议论文

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.