For: | Maino C, Vernuccio F, Cannella R, Cortese F, Franco PN, Gaetani C, Giannini V, Inchingolo R, Ippolito D, Defeudis A, Pilato G, Tore D, Faletti R, Gatti M. Liver metastases: The role of magnetic resonance imaging. World J Gastroenterol 2023; 29(36): 5180-5197 [PMID: 37901445 DOI: 10.3748/wjg.v29.i36.5180] |
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URL: | https://www.wjgnet.com/1007-9327/full/v29/i36/5180.htm |
Number | Citing Articles |
1 |
Xing-Liang Huang, Xiao-Dong Wang, Zhao-Miao Gong, Yan-Feng Zheng, Jing-Xin Mao. Effect of magnetic resonance imaging in liver metastases. World Journal of Gastroenterology 2024; 30(1): 113 doi: 10.3748/wjg.v30.i1.113
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2 |
Kemal Bugra Memis, Sonay Aydin. Complementary comments on metastatic liver lesions with exceptional and rare cases. World Journal of Gastroenterology 2024; 30(7): 770-773 doi: 10.3748/wjg.v30.i7.770
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Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, Gerardo Ferrara, Fabiana Tatangelo, Alessandro Ottaiano, Antonio Avallone, Vittorio Miele, Nicola Normanno, Francesco Izzo, Antonella Petrillo. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment. Diagnostics 2024; 14(2): 152 doi: 10.3390/diagnostics14020152
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Wenjing Jia, Fuyan Li, Yi Cui, Yong Wang, Zhengjun Dai, Qingqing Yan, Xinhui Liu, Yuting Li, Huan Chang, Qingshi Zeng. Deep Learning Radiomics Model of Contrast-Enhanced CT for Differentiating the Primary Source of Liver Metastases. Academic Radiology 2024; doi: 10.1016/j.acra.2024.04.012
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