曹鹏
· 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..
Jing Zhang, Peng Cao, Doug Gross and Osmar Zaiane, On the application of multi-class classification in physical therapy recommendation[J]. Health Information Science and Systems, V.1, N.15, accepted for publication November 19, 2013..
Peng Cao*, Dazhe Zhao and Osmar R. Zaiane, Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection[C]. 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Porto, Portugal, June 20-22, 2013..
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, André R. Goncalvesd, Peng Cao*, Dazhe Zhao, Arindam Banerjee. Modeling Alzheimer's Disease Cognitive Scores using Multi-task Sparse Group Lasso[J]. Computerized Medical Imaging and Graphics, 2018, 66: 100-114..
李博, 曹鹏, 栗伟, 赵大哲. 聚类核值相似区特征点的医学影像分类[J]. 中国图象图形学报, 18(10), 1322-1328, 2013..
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* Xiaoli Liu, Hezi Liu, JinzhuYang, Dazhe Zhao, Min Huang, Osmar Zaiane. Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimer’s Disease[J]. Computer Methods and Programs in Biomedicine 162, pp. 19-45 August 2018..