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2020 – today
- 2024
[c7]Chenxu Quan, Xin Chen, Fenghui Liu, Lin Qi, Yun Tie:
M-MNet for Cancer Classification by Constructing Somatic Mutation Map. ICCBR Workshops 2024: 181-191- [c6]Xin Chen, Yun Tie, Fenghui Liu, Lin Qi:
Multiple Query-based Multi-omics Fusion Algorithm for Cancer Classification and Metastasis Prediction. IJCNN 2024: 1-9 - 2023
- [j2]Zepeng Zhang
, Yun Tie, Dalong Zhang, Fenghui Liu, Lin Qi:
Quantum-Involution inspire false positive reduction in pulmonary nodule detection. Biomed. Signal Process. Control. 84: 104850 (2023) - [c5]Shihao Zhang, Yun Tie, Dalong Zhang, Fenghui Liu, Lin Qi:
CTCM: Clustering based on three correlation matrices for multi-omics data integration and cancer subtype identification. BIBM 2023: 2912-2918 - [c4]Ying Wang, Yun Tie, Fenghui Liu, Lin Qi, Ziqing Hu:
DCNet: Densely Connected Neural Network with Global Context for Abnormalities Prediction in Bronchoscopy Images. BIBM 2023: 3566-3573 - [c3]Xin Chen, Yun Tie, Fenghui Liu, Dalong Zhang, Lin Qi:
MOVNG: Applied a Novel Sparse Fusion Representation into GTCN for Pan-Cancer Classification and Biomarker Identification. ICIC (1) 2023: 604-615 - 2022
- [j1]Dongxu Liu, Fenghui Liu, Yun Tie, Lin Qi, Feng Wang:
Res-trans networks for lung nodule classification. Int. J. Comput. Assist. Radiol. Surg. 17(6): 1059-1068 (2022) - [c2]Shihao Zhang, Fenghui Liu, Feng Wang, Lin Qi, Yun Tie:
PNF: a novel method based on connectivity and similarity for data integration and cancer subtyping. BIBM 2022: 2378-2384 - [c1]Zepeng Zhang, Fenghui Liu, Lin Qi, Yun Tie:
WINMLP: Quantum & Involution Inspire False Positive Reduction in Lung Nodule Detection. ICONIP (3) 2022: 61-72
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