· 论文成果
Yafang Chen, Peng Cao*. An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images. ISICDM. 2020..
Peng Cao*, Zeyu Teng, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, and Osmar Zaiane, An ensemble framework with l21-norm regularized hypergraph laplacian multi-label learning for clinical data prediction, 10th International Workshop on Biomedical and Health Informatics, in conjunction with IEEE BIBM, San Diego, USA, 18-21 November 2019..
Peng Cao*, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar Zaiane, Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer’s disease, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), San Diego, USA, 18-21 November 2019..
Peng Cao*, Dazhe Zhao and Osmar R. Zaiane. Measure optimized wrapper framework for multi-class imbalanced data learning: an empirical study[C]. Proceedings of International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, August 4-9, 2013. [Student travel awards]..
李博, 曹鹏, 栗伟, 赵大哲. 基于尺度空间中多特征融合的医学影像分类[J]. 计算机应用, 2013, 33(4):1108-1111..
曹鹏, 栗伟,赵大哲. 面向不均衡数据集的ARSGOS算法[J]. 小型微型计算机系统, 2014 , 35 (4) :818-823..
Peng Cao*, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaiane, Nonlinearity-Aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI Measures[J]. Computers in Biology and Medicine 91, 21–37, 2017..
Peng Cao*, Fulong Ren, Chao Wan, Jinzhu Yan, Osmar R. Zaiane. Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis[J]. Computerized Medical Imaging and Graphics. V69, pp112-124, 2018..
Xiaoli Liu,Hang Bao,Dazhe Zhao and Peng Cao*. A Label Distance Maximum-Based Classifier for Multi-Label Learning[J]. Bio-Medical Materials and Engineering,vol. 26, no. s1, pp. 1969-1976, 2015..
杨金柱, 陆琳, 曹鹏. 基于改进BET的MRI脑组织自动提取算法[J]. 东北大学学报(自然科学版), 2018, 39(2):186-190..
