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Li, F., Zhou, L., Wang, Y., Chen, C., Yang, S., Shan, F., &Liu, L. (2022). Modeling long-range dependencies for weakly supervised disease classification and localization on chest X-ray. Quant Imaging Med Surg 2022;12(6):3364-3378.
Sun, X., Xu, H, Liu, G.,Chen, J., Xu, J., Li, M., Liu, L. (2022). A Robust Immuno-Prognostic Model of Non-Muscle-Invasive Bladder Cancer Indicates Dynamic Interaction in Tumor Immune Microenvironment Contributes to Cancer Progression. Front Genet. 2022 Jun 3; 13:833989.
Zhu, C., Yang, Z., Xia, X., Li, N., Zhong, F., & Liu, L. (2022). Multimodal reasoning based on knowledge graph embedding for specific diseases. Bioinformatics, 38(8), 2235-2245.
Zhang R, Liu Z, Chang X, Gao Y, Han H, Liu X, Cai H, Fu Q, Liu L, Yin K. (2022). Clinical significance of chromosomal integrity in gastric cancers.. Int J Biol Markers, Jun 19.
Liu, Y., Fu, Q., Peng, X., Zhu, C., Liu, G., & Liu, L. (2021). Attention-Based Deep Multiple-Instance Learning for Classifying Circular RNA and Other Long Non-Coding RNA. Genes, 12(12), 2018. https://doi.org/10.3390/genes12122018
Liu, G., Liu, Z., Sun, X., Xia, X., Liu, Y., & Liu, L. (2021). Pan-Cancer Genome-Wide DNA Methylation Analyses Revealed That Hypermethylation Influences 3D Architecture and Gene Expression Dysregulation in HOXA Locus During Carcinogenesis of Cancers. Frontiers in cell and developmental biology, https://doi.org/10.3389/fcell.2021.649168
Shi, L., Shi, W., Peng, X., Zhan, Y., Zhou, L., Wang, Y., Feng, M., Zhao, J., Shan, F., & Liu, L. (2021). Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter. Frontiers in oncology, 11, 618677. https://doi.org/10.3389/fonc.2021.618677
Wang, Y. , Wang, K. , Peng, X. , Shi, L. , & Liu, L. . (2021). Deepsdm: boundary-aware pneumothorax segmentation in chest x-ray images. Neurocomputing, 454(3)
Liu, X., Wu, A., Wang, X., Liu, Y., Xu, Y., Liu, G., & Liu, L. (2021). Identification of metabolism-associated molecular subtype in ovarian cancer. Journal of cellular and molecular medicine, 25(20), 9617–9626. https://doi.org/10.1111/jcmm.16907
Peng, X., Yang, S., Zhou, L., Mei, Y., Shi, L., Zhang, R., Shan, F., & Liu, L. (2021). Repeatability and Reproducibility of Computed Tomography Radiomics for Pulmonary Nodules: A Multicenter Phantom Study. Investigative radiology, 10.1097/RLI.0000000000000834. Advance online publication. https://doi.org/10.1097/RLI.0000000000000834
Shi, L., Zhao, J., Peng, X., Wang, Y., Liu, L., & Sheng, M. (2021). CT-based radiomics for differentiating invasive adenocarcinomas from indolent lung adenocarcinomas appearing as ground-glass nodules: Asystematic review. European journal of radiology, 144, 109956. https://doi.org/10.1016/j.ejrad.2021.109956
Xu, W., Guo, W., Lu, P., Ma, D., Liu, L., & Yu, F. (2021). Identification of an autophagy-related gene signature predicting overall survival for hepatocellular carcinoma. Bioscience reports, 41(1), BSR20203231. https://doi.org/10.1042/BSR20203231
Xu, W., Chen, Z., Liu, G., Dai, Y., Xu, X., Ma, D., & Liu, L. (2021). Identification of a Potential PPAR-Related Multigene Signature Predicting Prognosis of Patients with Hepatocellular Carcinoma. PPAR research, 2021, 6642939. https://doi.org/10.1155/2021/6642939
Gang Liu#, Wenhui Xie#, Mingming Jin#, Ping Li, Liu Liu, Lei Liu$, Gang Huang$. Transcriptomic analysis reveals a WNT signaling pathway-based gene signature prognostic for non-small cell carcinoma. Aging (Albany NY). 2020 Oct 7;12(19):19159-19172. doi: 10.18632/aging.103724.
Liu X, Liu G, Chen L, Liu F, Zhang X, Liu D, Liu X, Cheng X, Liu L. Untargeted Metabolomic Characterization of Ovarian Tumors. Cancers (Basel). 2020 Dec 4;12(12):3642. doi: 10.3390/cancers12123642. https://pubmed.ncbi.nlm.nih.gov/33291756/
Cui, D., Liu, Y., Liu, G., and Liu, L. (2020). A Multiple-Instance Learning-Based Convolutional Neural Network Model to Detect the IDH1 Mutation in the Histopathology Images of Glioma Tissues. Journal of computational biology : a journal of computational molecular cell biology.
Liu, Y., Dou, Y., Lu, F., and Liu, L. (2020). A study of radiomics parameters from dual-energy computed tomography images for lymph node metastasis evaluation in colorectal mucinous adenocarcinoma. Medicine 99, e19251.
Ren, H., Zhou, L., Liu, G., Peng, X., Shi, W., Xu, H., Shan, F., and Liu, L. (2020). An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing. Quantitative Imaging in Medicine and Surgery 10, 233-+.
Xu, W.F., Liu, Z.H., Ren, H., Peng, X.Q., Wu, A.S., Ma, D., Liu, G., and Liu, L. (2020). Twenty Metabolic Genes Based Signature Predicts Survival of Glioma Patients. J Cancer 11, 441-449.
Chen, L., Liu, X., Li, M., Wang, S., and Cheng, X. (2020). A novel model to predict cancer﹕pecific survival in patients with early﹕tage uterine papillary serous carcinoma (UPSC).Cancer Med. 2020 Feb;9(3):988-998.
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