排名 | 标题 | 作者 | 发表年份/期刊 | 总被引用数 |
1 | Comprehensive analysis of microRNA expression patterns in hepatocellular carcinoma and non-tumorous tissues | Murakam et al. | 2006/ONCOGENE | 949 |
2 | H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes | Li et al. | 2018/IEEE T-MI | 830 |
3 | Predicting hepatitis B virus-positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning | Ye et al. | 2003/NATURE MEDICINE | 679 |
4 | Long non-coding RNAs and complex diseases: from experimental results to computational models | Chen et al. | 2017/BRIEFINGS BIOINF | 415 |
5 | Oligonucleotide microarray for prediction of early intrahepatic recurrence of hepatocellular carcinoma after curative resection | Iizuka et al. | 2003/LANCET | 415 |
6 | Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study | Yasaka et al. | 2018/RADIOLOGY | 283 |
7 | Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma | Ren et al. | 2019/GUT | 273 |
8 | DNA methylation markers for diagnosis and prognosis of common cancers | Hao et al. | 2017/Proc.Natl.Acad.Sci.U.S.A. | 246 |
9 | Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer | Chaudharyl et al. | 2018/Clin.Cancer Res. | 230 |
10 | Aberrant Lipid Metabolism in Hepatocellular Carcinoma Revealed by Plasma Metabolomics and Lipid Profiling | Patterson et al. | 2011/CANCER RESEARCH | 206 |