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Cited by in CrossRef
For: Feng N, Wang K, Jiao Y. Integrating radiomics and machine learning for the diagnosis and prognosis of hepatocellular carcinoma. World J Gastrointest Oncol 2025; 17(7): 106610 [PMID: 40697211 DOI: 10.4251/wjgo.v17.i7.106610]
URL: https://www.wjgnet.com/1948-5204/full/v17/i7/106610.htm
Number Citing Articles
1
Yuriy A. Vasilev, Anton V. Vladzymyrskyy, Filipp V. Golubev, Olga V. Omelyanskaya, Nikita A. Savin, Daniel V. Gordienko, Ivan A. Blokhin. Development and internal validation of a model to predict the class of focal liver lesions at magnetic resonance imaging by texture analysisAlmanac of Clinical Medicine 2025; 53(5): 260 doi: 10.18786/2072-0505-2025-53-024
2
Asahiro Morishita, Kyoko Oura, Hiroki Tai, Rie Yano, Mai Nakahara, Tomoko Tadokoro, Koji Fujita, Shima Mimura, Joji Tani, Miwa Tatsuta, Takashi Himoto, Hideki Kobara. Advances in the Therapeutic Landscape of Hepatocellular Carcinoma: Current Strategies and Future PerspectivesCancers 2026; 18(4): 609 doi: 10.3390/cancers18040609
3
Maria Conticchio, Francesca Pescol, Martin Hubner, Emilie Uldry, Grégoire Leroy, Alban Denys, Jean-Louis Raisaro, David Fuks. Artificial intelligence in HPB surgery: a narrative review on technological advances and imperatives for ethical integrationHPB 2026; 28(1): 1 doi: 10.1016/j.hpb.2025.11.002