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Cited by in CrossRef
For: Yao S, Ye Z, Wei Y, Jiang HY, Song B. Radiomics in hepatocellular carcinoma: A state-of-the-art review. World J Gastrointest Oncol 2021; 13(11): 1599-1615 [PMID: 34853638 DOI: 10.4251/wjgo.v13.i11.1599]
URL: https://www.wjgnet.com/1007-9327/full/v13/i11/1599.htm
Number Citing Articles
1
Yutaka Endo, Laura Alaimo, Giovanni Catalano, Odysseas P. Chatzipanagiotou, Timothy M. Pawlik. Application of artificial intelligence to hepatobiliary cancer clinical outcomes researchArtificial Intelligence Surgery 2024; 4(2): 59 doi: 10.20517/ais.2024.09
2
Cody Criss, Arpit M Nagar, Mina S Makary. Hepatocellular carcinoma: State of the art diagnostic imagingWorld Journal of Radiology 2023; 15(3): 56-68 doi: 10.4329/wjr.v15.i3.56
3
Machine Learning Based Diagnostic Paradigm in Viral and Non-Viral Hepatocellular CarcinomaIEEE Access 2024; 12: 37557 doi: 10.1109/ACCESS.2024.3369491
4
Giulia Grazzini, Giuditta Chiti, Giulia Zantonelli, Benedetta Matteuzzi, Silvia Pradella, Vittorio Miele. Imaging in Hepatocellular Carcinoma: What's New?Seminars in Ultrasound, CT and MRI 2023; 44(3): 145 doi: 10.1053/j.sult.2023.03.002
5
Na-Ning Kan, Chun-Yen Yu, Yu-Fan Cheng, Chien-Chin Hsu, Chao-Long Chen, Hsien-Wen Hsu, Ching-Chun Weng, Leo Leung-Chit Tsang, Yi-Hsuan Chuang, Po-Hsun Huang, Wei-Xiong Lim, Chen-Pei Chen, Chien-Chang Liao, Hsin-You Ou. Combined Hounsfield units of hepatocellular carcinoma on computed tomography and PET as a noninvasive predictor of early recurrence after living donor liver transplantation: Time-to-recurrence survival analysisEuropean Journal of Radiology 2024; 177: 111551 doi: 10.1016/j.ejrad.2024.111551
6
Evangelos Chartampilas, Vasileios Rafailidis, Vivian Georgopoulou, Georgios Kalarakis, Adam Hatzidakis, Panos Prassopoulos. Current Imaging Diagnosis of Hepatocellular CarcinomaCancers 2022; 14(16): 3997 doi: 10.3390/cancers14163997
7
E. P. Perrone, P. Lucatelli, B. Rocco, P. Ferrari, I. Spinelli, M. Forlino, M. Mazzotta, A. De Santis. Radiomic analysis of pretreatment imaging in hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE): treatment response and survivalESGE Days 2023 2023; 55 doi: 10.1055/s-0043-1765439
8
Cagatay Neftali Tulu, Turgay Ibrikci. The potential of radiomics features in the detection of hepatocellular carcinoma (HCC) in 2D liver MRI images by using machine learning methodsSignal, Image and Video Processing 2025; 19(7) doi: 10.1007/s11760-025-04162-z
9
Dalia Fahmy, Ahmed Alksas, Ahmed Elnakib, Ali Mahmoud, Heba Kandil, Ashraf Khalil, Mohammed Ghazal, Eric van Bogaert, Sohail Contractor, Ayman El-Baz. The Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular CarcinomaCancers 2022; 14(24): 6123 doi: 10.3390/cancers14246123
10
Yu-Bo Zhang, Zhi-Qiang Chen, Yang Bu, Peng Lei, Wei Yang, Wei Zhang. Construction of a 2.5D Deep Learning Model for Predicting Early Postoperative Recurrence of Hepatocellular Carcinoma Using Multi-View and Multi-Phase CT ImagesJournal of Hepatocellular Carcinoma 2024; : 2223 doi: 10.2147/JHC.S493478
11
Natalia Salinas Parra, Heather M. Ross, Adnan Khan, Marisa Wu, Risa Goldberg, Lokesh Shah, Sarah Mukhtar, Jacob Beiriger, Alexis Gerber, Dina Halegoua-DeMarzio. Advancements in the Diagnosis of Hepatocellular CarcinomaInternational Journal of Translational Medicine 2023; 3(1): 51 doi: 10.3390/ijtm3010005
12
Xianyu Chen, Yongsheng Tang, Donghao Wu, Ruixi Li, Zhiqun Lin, Xuhui Zhou, Hezhen Wang, Hang Zhai, Junming Xu, Xianjie Shi, Guangquan Zhang. From imaging to clinical outcome: dual-region CT radiomics predicting FOXM1 expression and prognosis in hepatocellular carcinomaFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1278467
13
Gianvito Candita, Sara Rossi, Karolina Cwiklinska, Salvatore Claudio Fanni, Dania Cioni, Riccardo Lencioni, Emanuele Neri. Imaging Diagnosis of Hepatocellular Carcinoma: A State-of-the-Art ReviewDiagnostics 2023; 13(4): 625 doi: 10.3390/diagnostics13040625
14
Patrick Jeltsch, Killian Monnin, Mario Jreige, Lucia Fernandes-Mendes, Raphaël Girardet, Clarisse Dromain, Jonas Richiardi, Naik Vietti-Violi. Magnetic Resonance Imaging Liver Segmentation Protocol Enables More Consistent and Robust Annotations, Paving the Way for Advanced Computer-Assisted AnalysisDiagnostics 2024; 14(24): 2785 doi: 10.3390/diagnostics14242785
15
You-Chang Yang, Xiao-Yu Wei, Xiao-Qiang Tang, Ruo-Han Yin, Ming Zhang, Shao-Feng Duan, Chang-Jie Pan. Exploring value of CT coronary imaging combined with machine-learning methods to predict myocardial ischemiaJournal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 2022; 30(4): 767 doi: 10.3233/XST-221160
16
Ayoob Dinar Abdullah, Behzad Amanpour-Gharaei, Mohssen Nassiri Toosi, Sina Delazar, Hamidraza Saligheh Rad, Arvin Arian. Comparing Texture Analysis of Apparent Diffusion Coefficient MRI in Hepatocellular Adenoma and Hepatocellular CarcinomaCureus 2024;  doi: 10.7759/cureus.51443
17
Khyati Sethia, Petr Strakos, Milan Jaros, Jan Kubicek, Jan Roman, Marek Penhaker, Lubomir Riha. Advances in liver, liver lesion, hepatic vasculature, and biliary segmentation: a comprehensive review of traditional and deep learning approachesArtificial Intelligence Review 2025; 58(10) doi: 10.1007/s10462-025-11310-x
18
George Cholankeril, Hashem B. El-Serag. Current Challenges and Future Direction in Surveillance for Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver DiseaseSeminars in Liver Disease 2023; 43(01): 089 doi: 10.1055/a-1957-8540
19
Antonella Cammarota, Valentina Zanuso, Tiziana Pressiani, Nicola Personeni, Lorenza Rimassa. Assessment and Monitoring of Response to Systemic Treatment in Advanced Hepatocellular Carcinoma: Current InsightsJournal of Hepatocellular Carcinoma 2022; : 1011 doi: 10.2147/JHC.S268293
20
Krzysztof Bartnik, Mateusz Krzyziński, Tomasz Bartczak, Krzysztof Korzeniowski, Krzysztof Lamparski, Tadeusz Wróblewski, Michał Grąt, Wacław Hołówko, Katarzyna Mech, Joanna Lisowska, Magdalena Januszewicz, Przemysław Biecek. A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentationScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-65630-z
21
Mahip Grewal, Taha Ahmed, Ammar Asrar Javed. Current state of radiomics in hepatobiliary and pancreatic malignanciesArtificial Intelligence Surgery 2023; 3(4): 217 doi: 10.20517/ais.2023.28
22
Lorenza Rimassa, Richard S. Finn, Bruno Sangro. Combination immunotherapy for hepatocellular carcinomaJournal of Hepatology 2023; 79(2): 506 doi: 10.1016/j.jhep.2023.03.003
23
Benjamin M. Mervak, Jessica G. Fried, Ashish P. Wasnik. A Review of the Clinical Applications of Artificial Intelligence in Abdominal ImagingDiagnostics 2023; 13(18): 2889 doi: 10.3390/diagnostics13182889
24
Bellary Chiterki Anil, Jayasimha Sondekoppa Rajkumar, T. L. Divya, Samitha Khaiyum, Rakshitha Kiran P., Balakrishnan Ramadoss. A Radiomics-based Framework for Liver Cancer Analysis using Explainable Artificial Intelligence (XAI) MethodsEngineering, Technology & Applied Science Research 2025; 15(3): 24098 doi: 10.48084/etasr.10377
25
Yu Rim Lee. A multidisciplinary approach with immunotherapies for advanced hepatocellular carcinomaJournal of Liver Cancer 2023; 23(2): 316 doi: 10.17998/jlc.2023.09.04