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Shanling Nie
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2020 – today
- 2024
- [c7]Yawen Liu, Yiwen Chen, Shanling Nie, Hai Yang:
CIXG: A Comprehensive Approach to Driver Gene Identification and Causal Interpretation. BIBM 2024: 4966-4972 - 2023
- [c6]Yijia Chen, Yiwen Chen, Shanling Nie, Hai Yang:
PMMVar: Leveraging Multi-level Protein Structures for Enhanced Coding Variant Pathogenicity Prediction. BIBM 2023: 269-274 - [c5]QiSong Wang, JiaRou Wu, YingZhuo Wang, HuiLi Qu, Shanling Nie, Hai Yang:
LDE-UNet: A Novel Model for Rapid COVID-19 Diagnosis via CT Image Segmentation. BIBM 2023: 2273-2276 - [c4]Wen Zhu, Yiwen Chen, Shanling Nie, Hai Yang:
SAMMS: Multi-modality Deep Learning with the Foundation Model for the Prediction of Cancer Patient Survival. BIBM 2023: 3662-3668 - [c3]Congcong An, Yiwen Chen, Shanling Nie, Hai Yang:
Joint Clustering and Analyze Single Cell Multi-omics Data by scMOGAN. BIBM 2023: 4862-4864 - [c2]Chenhang Wang, Yujian Jin, Jiayi Liang, YuHan Yang, Shanling Nie, Hai Yang:
Modif-SegUnet: Innovatively Advancing Liver Cancer Diagnosis and Treatment through Efficient and Meaningful Segmentation of 3D Medical Images. BIBM 2023: 4966-4968 - 2022
- [c1]Yunjie Cai, Zeqi Zheng, Shanling Nie, Yue Guo, Ruijie Zhang, Hai Yang:
Multi-MedVit: a deep learning approach for the diagnosis of COVID-19 with the CT images. BIBM 2022: 2247-2252
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