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Cited by in CrossRef
For: Jiménez Pérez M, Grande RG. Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review. World J Gastroenterol 2020; 26(37): 5617-5628 [PMID: 33088156 DOI: 10.3748/wjg.v26.i37.5617]
URL: https://www.wjgnet.com/1948-5204/full/v26/i37/5617.htm
Number Citing Articles
1
Anas Taha, Vincent Ochs, Leos N. Kayhan, Bassey Enodien, Daniel M. Frey, Lukas Krähenbühl, Stephanie Taha-Mehlitz. Advancements of Artificial Intelligence in Liver-Associated Diseases and SurgeryMedicina 2022; 58(4): 459 doi: 10.3390/medicina58040459
2
Shan Yao, Zheng Ye, Yi Wei, Han-Yu Jiang, Bin Song. Radiomics in hepatocellular carcinoma: A state-of-the-art reviewWorld Journal of Gastrointestinal Oncology 2021; 13(11): 1599-1615 doi: 10.4251/wjgo.v13.i11.1599
3
Haopeng Kuang, Zhongwei Yang, Xukun Zhang, Shunli Wang, Lihua Zhang. A Review of Artificial Intelligence in Preoperative Clinical Staging of Liver Cancer2021 International Conference on Networking Systems of AI (INSAI) 2021; : 69 doi: 10.1109/INSAI54028.2021.00024
4
Carl F. Sabottke, Bradley M. Spieler, Ahmed W. Moawad, Khaled M. Elsayes. Artificial Intelligence in Imaging of Chronic Liver DiseasesMagnetic Resonance Imaging Clinics of North America 2021; 29(3): 451 doi: 10.1016/j.mric.2021.05.011
5
Valeria Tonini, Gabriele Vigutto, Riccardo Donati. Liver surgery for colorectal metastasis: New paths and new goals with the help of artificial intelligenceArtificial Intelligence in Gastroenterology 2022; 3(2): 28-35 doi: 10.35712/aig.v3.i2.28
6
Bradley Spieler, Carl Sabottke, Ahmed W. Moawad, Ahmed M. Gabr, Mustafa R. Bashir, Richard Kinh Gian Do, Vahid Yaghmai, Radu Rozenberg, Marielia Gerena, Joseph Yacoub, Khaled M. Elsayes. Artificial intelligence in assessment of hepatocellular carcinoma treatment responseAbdominal Radiology 2021; 46(8): 3660 doi: 10.1007/s00261-021-03056-1
7
Li-Shi Li, Xiang-Yu Guo, Kun Sun. Recent advances in blood-based and artificial intelligence-enhanced approaches for gastrointestinal cancer diagnosisWorld Journal of Gastroenterology 2021; 27(34): 5666-5681 doi: 10.3748/wjg.v27.i34.5666
8
Alexandru Blidisel, Iasmina Marcovici, Dorina Coricovac, Florin Hut, Cristina Adriana Dehelean, Octavian Marius Cretu. Experimental Models of Hepatocellular Carcinoma—A Preclinical PerspectiveCancers 2021; 13(15): 3651 doi: 10.3390/cancers13153651
9
Yanmei Dai, Huijie Jiang, Shi-Ting Feng, Yuwei Xia, Jinping Li, Sheng Zhao, Dandan Wang, Xu Zeng, Yusi Chen, Yanjie Xin, Dongmin Liu. Noninvasive Imaging Evaluation Based on Computed Tomography of the Efficacy of Initial Transarterial Chemoembolization to Predict Outcome in Patients with Hepatocellular CarcinomaJournal of Hepatocellular Carcinoma 2022; : 273 doi: 10.2147/JHC.S351077
10
Aydin Eresen, Chong Sun, Kang Zhou, Junjie Shangguan, Bin Wang, Liang Pan, Su Hu, Quanhong Ma, Jia Yang, Zhuoli Zhang, Vahid Yaghmai. Early Differentiation of Irreversible Electroporation Ablation Regions With Radiomics Features of Conventional MRIAcademic Radiology 2021;  doi: 10.1016/j.acra.2021.11.020
11
Anna Castaldo, Davide Raffaele De Lucia, Giuseppe Pontillo, Marco Gatti, Sirio Cocozza, Lorenzo Ugga, Renato Cuocolo. State of the Art in Artificial Intelligence and Radiomics in Hepatocellular CarcinomaDiagnostics 2021; 11(7): 1194 doi: 10.3390/diagnostics11071194
12
Vo Tan Duc, Phan Cong Chien, Le Duy Mai Huyen, Tran Le Minh Chau, Nguyen Do Trung Chanh, Duong Thi Minh Soan, Hoang Cao Huyen, Huynh Minh Thanh, Le Nguyen Gia Hy, Nguyen Hoang Nam, Mai Thi Tu Uyen, Le Huu Hanh Nhi, Le Huu Nhat Minh. Deep Learning Model With Convolutional Neural Network for Detecting and Segmenting Hepatocellular Carcinoma in CT: A Preliminary StudyCureus 2022;  doi: 10.7759/cureus.21347
13
Octav Ginghina, Ariana Hudita, Marius Zamfir, Andrada Spanu, Mara Mardare, Irina Bondoc, Laura Buburuzan, Sergiu Emil Georgescu, Marieta Costache, Carolina Negrei, Cornelia Nitipir, Bianca Galateanu. Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient’s StratificationFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.856575