Jiang, Yuming

ImmunoScore Signature: A Prognostic and Predictive Tool in Gastric Cancer

Jiang, Y., Zhang, Q., Hu, Y., Li, T., Yu, J., Zhao, L., Ye, G., Deng, H., Mou, T., Cai, S., et al. (2018) · Annals of Surgery

Gastric Cancer Management and OutcomesCancer Immunotherapy and Biomarkers

Cited by 458

Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer

Jiang, Y., Chen, C., Xie, J., Wang, W., Zha, X., Lv, W., Chen, H., Hu, Y., Li, T., Yu, J., et al. (2018) · EBioMedicine

Radiomics and Machine Learning in Medical ImagingGastric Cancer Management and Outcomes

Cited by 184

Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study

Jiang, Y., Jin, C., Yu, H., Wu, J., Chen, C., Yuan, Q., Huang, W., Hu, Y., Xu, Y., Zhou, Z., et al. (2021) · Annals of Surgery

Radiomics and Machine Learning in Medical ImagingGastric Cancer Management and Outcomes

Cited by 169

Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer

Jiang, Y., Wang, H., Wu, J., Chen, C., Yuan, Q., Huang, W., Li, T., Xi, S., Hu, Y., Zhou, Z., et al. (2020) · Annals of Oncology

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and Biomarkers

Cited by 169

Association of Adjuvant Chemotherapy With Survival in Patients With Stage II or III Gastric Cancer

Jiang, Y., Li, T., Liang, X., Hu, Y., Huang, L., Liao, Z., Zhao, L., Han, Z., Zhu, S., Wang, M., et al. (2017) · JAMA Surgery

Gastric Cancer Management and OutcomesIntraperitoneal and Appendiceal Malignancies

Cited by 152

Immunomarker Support Vector Machine Classifier for Prediction of Gastric Cancer Survival and Adjuvant Chemotherapeutic Benefit

Jiang, Y., Xie, J., Han, Z., Liu, W., Xi, S., Huang, L., Huang, W., Lin, T., Zhao, L., Hu, Y., et al. (2018) · Clinical Cancer Research

Gastric Cancer Management and OutcomesBreast Cancer Treatment Studies

Cited by 143

Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics

Jiang, Y., Zhou, K., Sun, Z., Wang, H., Xie, J., Zhang, T., Sang, S., Islam, M. T., Wang, J.-Y., Chen, C., et al. (2023) · Cell Reports Medicine

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and Biomarkers

Cited by 120

Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study

Jiang, Y., Liang, X., Han, Z., Wang, W., Xi, S., Li, T., Chen, C., Yuan, Q., Li, N., Yu, J., et al. (2021) · The Lancet Digital Health

Radiomics and Machine Learning in Medical ImagingGastric Cancer Management and Outcomes

Cited by 58

Chemotherapy use and survival among young and middle-aged patients with gastric cancer

Jiang, Y., Xie, J., Huang, W., Chen, H., Xi, S., Li, T., Chen, C., Sun, Z., Hu, Y., Liu, W., et al. (2020) · Clinical and Translational Gastroenterology

Gastric Cancer Management and OutcomesIntraperitoneal and Appendiceal Malignancies

Cited by 18