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Cited by in CrossRef
For: Gatti M, Maino C, Tore D, Carisio A, Darvizeh F, Tricarico E, Inchingolo R, Ippolito D, Faletti R. Benign focal liver lesions: The role of magnetic resonance imaging. World J Hepatol 2022; 14(5): 923-943 [PMID: 35721295 DOI: 10.4254/wjh.v14.i5.923]
URL: https://www.wjgnet.com/1007-9327/full/v14/i5/923.htm
Number Citing Articles
1
Cesare Maino, Federica Vernuccio, Roberto Cannella, Laura Cristoferi, Paolo Niccolò Franco, Marco Carbone, Francesco Cortese, Riccardo Faletti, Elisabetta De Bernardi, Riccardo Inchingolo, Marco Gatti, Davide Ippolito. Non-invasive imaging biomarkers in chronic liver diseaseEuropean Journal of Radiology 2024; 181: 111749 doi: 10.1016/j.ejrad.2024.111749
2
Daniel Spitzl, Markus Mergen, Ulrike Bauer, Friederike Jungmann, Keno K. Bressem, Felix Busch, Marcus R. Makowski, Lisa C. Adams, Florian T. Gassert. Leveraging Large Language Models for accurate Classification of Liver Lesions from MRI ReportsComputational and Structural Biotechnology Journal 2025;  doi: 10.1016/j.csbj.2025.05.019
3
Florian Stephan Bienenfeld, Marija Zubčić, Alessio Sciacqua, Giacomo Fascia, Manuela Montatore, Gianmichele Muscatella, Giuseppe Guglielmi. A Case Report on Magnetic Resonance-Guided Surveillance of a Giant Hydatid Cyst: Implications for Therapeutic Management and Other ModalitiesTargets 2025; 3(2): 15 doi: 10.3390/targets3020015
4
Shan Su, Neha Yadu, Gaurav Khatri, Hala Khasawneh, Ivan Pedrosa, Takeshi Yokoo. An algorithmic approach to MR characterization of focal liver lesions in adults without cirrhosisEuropean Journal of Radiology 2025; 185: 112001 doi: 10.1016/j.ejrad.2025.112001
5
Yingjie Tian, Minghao Liu, Yu Sun, Saiji Fu. When liver disease diagnosis encounters deep learning: Analysis, challenges, and prospectsiLIVER 2023; 2(1): 73 doi: 10.1016/j.iliver.2023.02.002
6
Xing-Liang Huang, Xiao-Dong Wang, Zhao-Miao Gong, Yan-Feng Zheng, Jing-Xin Mao. Effect of magnetic resonance imaging in liver metastasesWorld Journal of Gastroenterology 2024; 30(1): 113 doi: 10.3748/wjg.v30.i1.113
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7
Iman Rafati, Ladan Yazdani, Maxime Barat, Elige Karam, Audrey Fohlen, Bich N Nguyen, Hélène Castel, An Tang, Guy Cloutier. Ultrasound shear wave viscoelastography to characterize liver nodulesPhysics in Medicine & Biology 2025; 70(7): 075022 doi: 10.1088/1361-6560/adc4b8
8
Reshma Reguram, Aishwarya Ghonge, Justin Tse, Renumathy Dhanasekaran. Practical approach to diagnose and manage benign liver massesHepatology Communications 2024; 8(11) doi: 10.1097/HC9.0000000000000560
9
Nan Yang, Zhuangxuan Ma, Ling Zhang, Wenbin Ji, Qian Xi, Ming Li, Liang Jin. Radiomics-based automated machine learning for differentiating focal liver lesions on unenhanced computed tomographyAbdominal Radiology 2024; 50(5): 2126 doi: 10.1007/s00261-024-04685-y
10
Serdar Aslan, Ramazan Orkun Onder, Emrah Sulun, Merve Nur Taşdemir. Evaluation of qualitative and quantitative imaging features of hepatic hemangiomas with and without pseudo-washout sign on gadoxetic acid-enhanced MRI: a descriptive and comparative studyActa Radiologica 2024; 65(1): 23 doi: 10.1177/02841851231177399