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Cited by in CrossRef
For: Mao Q, Zhou MT, Zhao ZP, Liu N, Yang L, Zhang XM. Role of radiomics in the diagnosis and treatment of gastrointestinal cancer. World J Gastroenterol 2022; 28(42): 6002-6016 [PMID: 36405385 DOI: 10.3748/wjg.v28.i42.6002]
URL: https://www.wjgnet.com/1007-9327/full/v28/i42/6002.htm
Number Citing Articles
1
Linda My Huynh, Yeagyeong Hwang, Olivia Taylor, Michael J. Baine. The Use of MRI-Derived Radiomic Models in Prostate Cancer Risk Stratification: A Critical Review of Contemporary LiteratureDiagnostics 2023; 13(6): 1128 doi: 10.3390/diagnostics13061128
2
Yasheng Xue, Haiqiao Zhang, Zhi Zheng, Xiaoye Liu, Jie Yin, Jun Zhang. Predictive performance of radiomics for peritoneal metastasis in patients with gastric cancer: a meta-analysis and radiomics quality assessmentJournal of Cancer Research and Clinical Oncology 2023; 149(13): 12103 doi: 10.1007/s00432-023-05096-0
3
Xue-Qin Gong, Ning Liu, Yun-Yun Tao, Li Li, Zu-Mao Li, Lin Yang, Xiao-Ming Zhang. Radiomics models based on multisequence MRI for predicting PD-1/PD-L1 expression in hepatocellular carcinomaScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-34763-y
4
Ning Liu, Yaokun Wu, Yunyun Tao, Jing Zheng, Xiaohua Huang, Lin Yang, Xiaoming Zhang. Differentiation of Hepatocellular Carcinoma from Intrahepatic Cholangiocarcinoma through MRI RadiomicsCancers 2023; 15(22): 5373 doi: 10.3390/cancers15225373
5
Qi Liu, Zhao Tian, Ning Wang, Yusong Lin. DRL-based dependent task offloading with delay-energy tradeoff in medical image edge computingComplex & Intelligent Systems 2024;  doi: 10.1007/s40747-023-01322-x