| For: | Kahraman G, Haberal KM, Dilek ON. Imaging features and management of focal liver lesions. World J Radiol 2024; 16(6): 139-167 [PMID: 38983841 DOI: 10.4329/wjr.v16.i6.139] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v16/i6/139.htm |
| Number | Citing Articles |
| 1 |
Dongdong Gu, Yuzhong Chen, Xuejian Li, Xi Ouyang, Zhong Xue, Dinggang Shen. Applications of Medical Artificial Intelligence. Lecture Notes in Computer Science 2026; 16206 doi: 10.1007/978-3-032-09569-5_12
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| 2 |
Janthakan Wongsuwan, Apichat Kaewdech, Teeravut Tubtawee, Sitang Nirattisaikul, Sitthichok Chaichulee. Multi-instance deep learning for weakly supervised classification of focal liver lesions in ultrasound. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2026; 14(1) doi: 10.1080/21681163.2026.2715982
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| 3 |
Yi-Tzu Chen, Ying-Ju Kuo, Suk Yee Lau, Chui-Mei Tiu, Yi-Hong Chou. Multimodality Imaging Evaluation of Hepatic Epithelioid Angiomyolipoma. Journal of Medical Ultrasound 2026; 34(2) doi: 10.4103/jmu.JMU-D-25-00007
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| 4 |
Lingyun Wang, Zhihan Xu, Lu Zhang, Keke Zhao, Hongcheng Sun, Zhijie Pan, Qingyao Li, Yaping Zhang, Xueqian Xie. Differentiation of malignant from benign focal liver lesions in triphase-enhanced CT using machine-learning-based radiomics. British Journal of Radiology 2025; 98(1174) doi: 10.1093/bjr/tqaf138
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| 5 |
İlkay Çamlıdağ, Murat Danacı. Computed Tomography of the Liver and Dual energy CT. Türk Radyoloji Seminerleri 2026; doi: 10.4274/trs.2026.26226
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| 6 |
Mamoun Qjidaa, Amine Souadka, Anass Benfares, Mohammed Amine El Azami El Hassani, Amine Benkabbou, Anass Majbar, Zakaria El Moatassim, Maroua Oumlaz, Oumayma Lahnaoui, Raouf Mouhcine, Hassan Qjidaa, Ahmed Lakhssassi, Ouazzani Jamil Mohammed, Abdeljabbar Cherkaoui. Automated Differentiation of Hepatic Cysts and Metastatic Tumors Using a Deep Learning Ensemble Framework on CT Imaging in Low-Resource Areas. BioMedInformatics 2026; 6(4) doi: 10.3390/biomedinformatics6040041
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| 7 |
Atie Validad, Abolfazl Koozari, Iraj Abedi, Mohammadreza Elhaie. AI-Assisted Advanced MRI Using Machine Learning and Deep Learning for Focal Liver Lesion Diagnosis: A Systematic Review. Indian Journal of Radiology and Imaging 2026; doi: 10.1055/s-0046-1819660
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| 8 |
Ashwanth Manoharan, Deepti Naik, Arvinder Singh. Evaluation of Focal Hepatic Lesions on Tissue Harmonic Imaging and Conventional Sonography Along with Histopathological Correlation. International Journal of Research and Review 2026; doi: 10.52403/ijhsr.20260701
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| 9 |
Elnur Aliyev, Kemal Niyazi Arda, Mustafa Koyun. Diagnostic Value of Apparent Diffusion Coefficient in Differentiating Benign and Malignant Focal Liver Lesions. Advanced Radiology and Imaging 2025; doi: 10.4274/AdvRadiolImaging.galenos.2025.98608
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| 10 |
Boglárka Zsély, Aladár Dávid Rónaszéki, Marco Himsel, Zita Zsombor, Gabriella Győri, Anikó Folhoffer, Dorottya Mühl, Viktor Bérczi, Byung-So Park, Damján Pekli, Oszkár Hahn, András Kiss, Pál Maurovich-Horvat, Pál Novák Kaposi. Assessment of the prevalence and consistency of microvascular flow imaging patterns in focal nodular hyperplasia. Pathology & Oncology Research 2026; 32 doi: 10.3389/pore.2026.1612253
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| 11 |
Hang Li, Xiaoyan Niu, Hui Yang, Sai Wu, Xiaojuan Tian, Zhenghao Bao, Guanghui Li, Cheng Zhao. Contrast-Enhanced Ultrasound With Ultrasound Localization Microscopy for Differentiating Benign From Malignant Focal Liver Lesions. Ultrasound in Medicine & Biology 2026; 52(8) doi: 10.1016/j.ultrasmedbio.2026.04.021
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| 12 |
Reshma Reguram, Aishwarya Ghonge, Justin Tse, Renumathy Dhanasekaran. Practical approach to diagnose and manage benign liver masses. Hepatology Communications 2024; 8(11) doi: 10.1097/HC9.0000000000000560
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| 13 |
Наталья Николаевна Варламова, Зейнаб Магомедовна Ибрагимова, Елена Владимировна Синельникова, Вячеслав Григорьевич Часнык.
АЛГОРИТМ МЕТОДОВ ВИЗУАЛИЗАЦИИ В ДИФФЕРЕНЦИАЛЬНОЙ ДИАГНОСТИКЕ ОЧАГОВЫХ ОБРАЗОВАНИЙ ПЕЧЕНИ НА ПРИМЕРЕ КЛИНИЧЕСКИХ СЛУЧАЕВ
. Visualization in Medicine 2025; 7(1) doi: 10.56871/ViM.2025.99.50.002
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