• 1.  Huang Y, Liang C, He L, et al. Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer[J]. Journal of Clinical Oncology, 2016, 34(18): 2157-2164.

        影像组学实现结直肠癌淋巴结转移术前精准预测
  • 2.  Wang K, Lu X, Zhou H, Tian J, et al. Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study.[J]. Gut. 2018 May: doi:10.1136/gutjnl-2018-316204. PMID: 29730602.

        影像组学实现乙肝纤维化程度等同病理的精准诊断
  • 3.  Zhang S, Zhang B, Tian J, et al. Radiomics features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma.[J]. Clinical Cancer Research An Official Journal of the American Association for Cancer Research, 2017, 23(15):4259.

        影像组学实现晚期鼻咽癌无进展生存期精准预测
  • 4.  Liu Z, Zhang X Y, Shi Y J, et al. Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.[J]. Clinical Cancer Research, 2017:clincanres.1038.2017.

        影像组学实现局部进展期直肠癌新辅助治疗效果精准评估
  • 5.  Song J, Shi J, Dong D, Fang M, Tian J, et al. A new approach to predict progression-free survival in stage IV EGFR-mutant NSCLC patients with EGFR-TKI therapy.[J]. Clinical Cancer Research, 2018, doi:10.1158/1078-0432.ccr-17-2507.

        影像组学实现晚期EGFR突变非小细胞肺癌TKI治疗耐药时间精准预测
  • 6.  Zhang S, Song G, Zang Y, et al. Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery.[J]. European Radiology, 2018:1-10.

        影像组学实现非功能性垂体瘤亚型的精准预测
  • 7.  Tang Z, Liu Z, Li R, et al. Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data[J]. European Radiology, 2017, 27(10):4153-4162.

        影像组学实现利用HIV患者白质损伤准确鉴别
  • 8.  Cheng S, Fang M, Tian, J, et al. LGE-CMR-derived texture features reflect poor prognosis in hypertrophic cardiomyopathy patients with systolic dysfunction: preliminary results[J]. European Radiology, 2018:1432-1084.

        影像组学实现肥厚型心肌病心脏事件风险的精准预测
  • 9.  Zhu X, Dong D, Chen Z, et al. Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer[J]. European Radiology, 2018:1-7.

        影像组学实现非小细胞肺癌病理分型的精准预测
  • 10.  Yang L, Dong D, Fang M, et al. Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?[J]. European Radiology, 2018:1-10.

        影像组学实现结直肠癌KRAS/NRAS/BRAF基因突变精准预测
  • 11.  Guo J, Liu Z, Shen C, et al. MR-based radiomics signature in differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.[J]. European Radiology, 2018:1-10.

        影像组学实现眼眶淋巴瘤和炎性假瘤的无创定量鉴别
  • 12.  Zhou H, Dong D, Chen B, et al. Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features[J]. Translational Oncology, 2018, 11(1):31-36.

        利用CT影像组学预测肺癌远端转移