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2020 – today
- 2024
[j5]Rongbo Shen, Meiling Cheng, Wencang Wang, Qi Fan, Huan Yan, Jiayue Wen, Zhiyuan Yuan, Jianhua Yao, Yixue Li, Jiao Yuan
:
Graph domain adaptation-based framework for gene expression enhancement and cell type identification in large-scale spatially resolved transcriptomics. Briefings Bioinform. 25(6) (2024)- 2021
- [c1]Zihan Wu, Rongbo Shen, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels. ISBI 2021: 358-361 - 2020
- [j4]Rongbo Shen, Jianhua Yao, Kezhou Yan, Kuan Tian, Cheng Jiang, Ke Zhou:
Unsupervised domain adaptation with adversarial learning for mass detection in mammogram. Neurocomputing 393: 27-37 (2020)
2010 – 2019
- 2019
- [j3]Rongbo Shen, Kezhou Yan, Kuan Tian, Cheng Jiang, Ke Zhou:
Breast mass detection from the digitized X-ray mammograms based on the combination of deep active learning and self-paced learning. Future Gener. Comput. Syst. 101: 668-679 (2019) - 2018
- [j2]Rongbo Shen, Fuhao Zou, Jingkuan Song, Kezhou Yan, Ke Zhou:
EFUI: An ensemble framework using uncertain inference for pornographic image recognition. Neurocomputing 322: 166-176 (2018) - [j1]Rongbo Shen, Kezhou Yan, Fen Xiao, Jia Chang, Cheng Jiang, Ke Zhou:
Automatic Pectoral Muscle Region Segmentation in Mammograms Using Genetic Algorithm and Morphological Selection. J. Digit. Imaging 31(5): 680-691 (2018)
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