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Cited by in CrossRef
For: Li Y, Liu YB, Li XB, Cui XN, Meng DH, Yuan CC, Ye ZX. Deep learning model combined with computed tomography features to preoperatively predicting the risk stratification of gastrointestinal stromal tumors. World J Gastrointest Oncol 2024; 16(12): 4663-4674 [PMID: 39678791 DOI: 10.4251/wjgo.v16.i12.4663]
URL: https://www.wjgnet.com/1948-5204/full/v16/i12/4663.htm
Number Citing Articles
1
Wei Chen, Long-Yu Duan, Kun-Ming Yi, Xiao-Juan Peng, Lian-Qin Kuang. A deep learning-based radiomic nomogram derived from visceral fat for early prediction of gastrointestinal stromal tumor risk gradeFrontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1741436
2
Mohsen Salimi, Hanieh Mohammadi, Sahar Ghahramani, Maryam Nemati, Anita Ashari, Amirhossein Imani, Mohammad Hossein Imani. Diagnostic accuracy of radiomics in risk stratification of gastrointestinal stromal tumors: A systematic review and meta-analysisEuropean Journal of Radiology 2025; 190 doi: 10.1016/j.ejrad.2025.112225