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JCO Clinical Cancer Informatics|January 19, 2019
Decentralized Learning Framework of Meta-Survival Analysis for Developing Robust Prognostic SignaturesYi Cui, Bailiang Li, Ruijiang Li
JAMA Oncology|July 9, 2017
Development and Validation of an Individualized Immune Prognostic Signature in Early-Stage Nonsquamous Non-Small Cell Lung CancerBailiang Li, Yi Cui, Maximilian Diehn, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 21, 2018
Integrating Radiosensitivity and Immune Gene Signatures for Predicting Benefit of Radiotherapy in Breast CancerYi Cui, Bailiang Li, Erqi L Pollom, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 6, 2019
The Immune Subtypes and Landscape of Squamous Cell CarcinomaBailiang Li, Yi Cui, Dhanya K Nambiar, et al.
Cancers|December 2, 2020
Single-Cell Spatial Analysis of Tumor and Immune Microenvironment on Whole-Slide Image Reveals Hepatocellular Carcinoma SubtypesHaiyue Wang, Yuming Jiang, Bailiang Li, et al.
British Journal of Cancer|December 18, 2021
B cell-related gene signature and cancer immunotherapy responseArian Lundberg, Bailiang Li, Ruijiang Li
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 12, 2017
Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular PathwaysJia Wu, Yi Cui, Xiaoli Sun, et al.
JCI Insight|April 2, 2020
Natural killer cell and stroma abundance are independently prognostic and predict gastric cancer chemotherapy benefitBailiang Li, Yuming Jiang, Guoxin Li, et al.
European Radiology|August 9, 2017
Prognostic value and molecular correlates of a CT image-based quantitative pleural contact index in early stage NSCLCJuheon Lee, Yi Cui, Xiaoli Sun, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 16, 2016
Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapyJia Wu, Guanghua Gong, Yi Cui, et al.
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