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Cited by in CrossRef
For: Cannella R, La Grutta L, Midiri M, Bartolotta TV. New advances in radiomics of gastrointestinal stromal tumors. World J Gastroenterol 2020; 26(32): 4729-4738 [PMID: 32921953 DOI: 10.3748/wjg.v26.i32.4729]
URL: https://www.wjgnet.com/1007-9327/full/v26/i32/4729.htm
Number Citing Articles
1
Bing Kang, Xianshun Yuan, Hexiang Wang, Songnan Qin, Xuelin Song, Xinxin Yu, Shuai Zhang, Cong Sun, Qing Zhou, Ying Wei, Feng Shi, Shifeng Yang, Ximing Wang. Preoperative CT-Based Deep Learning Model for Predicting Risk Stratification in Patients With Gastrointestinal Stromal TumorsFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.750875
2
Camilla Scapicchio, Michela Gabelloni, Andrea Barucci, Dania Cioni, Luca Saba, Emanuele Neri. A deep look into radiomicsLa radiologia medica 2021; 126(10): 1296 doi: 10.1007/s11547-021-01389-x
3
Tommaso Vincenzo Bartolotta, Adele Taibbi, Angelo Randazzo, Cesare Gagliardo. New frontiers in liver ultrasound: From mono to multi parametricityWorld Journal of Gastrointestinal Oncology 2021; 13(10): 1302-1316 doi: 10.4251/wjgo.v13.i10.1302