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Cited by in CrossRef
For: Zhu WS, Shi SY, Yang ZH, Song C, Shen J. Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure. World J Gastroenterol 2020; 26(11): 1208-1220 [PMID: 32231424 DOI: 10.3748/wjg.v26.i11.1208]
URL: https://www.wjgnet.com/1007-9327/full/v26/i11/1208.htm
Number Citing Articles
1
Luca Vigano, Martina Sollini, Francesca Ieva, Francesco Fiz, Guido Torzilli. Chemotherapy-Associated Liver Injuries: Unmet Needs and New Insights for Surgical OncologistsAnnals of Surgical Oncology 2021; 28(8): 4074 doi: 10.1245/s10434-021-10069-z
2
Zhaoqi Shi, Wenli Cai, Xu Feng, Jingwei Cai, Yuelong Liang, Junjie Xu, Junhao Zhen, Xiao Liang. Radiomics Analysis of Gd-EOB-DTPA Enhanced Hepatic MRI for Assessment of Functional Liver ReserveAcademic Radiology 2022; 29(2): 213 doi: 10.1016/j.acra.2021.04.019
3
Jingwei Wei, Hanyu Jiang, Yu Zhou, Jie Tian, Felipe S. Furtado, Onofrio A. Catalano. Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinomaDigestive and Liver Disease 2023; 55(7): 833 doi: 10.1016/j.dld.2022.12.015
4
Jérémy Dana, Aïna Venkatasamy, Antonio Saviano, Joachim Lupberger, Yujin Hoshida, Valérie Vilgrain, Pierre Nahon, Caroline Reinhold, Benoit Gallix, Thomas F. Baumert. Conventional and artificial intelligence-based imaging for biomarker discovery in chronic liver diseaseHepatology International 2022; 16(3): 509 doi: 10.1007/s12072-022-10303-0
5
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
6
Fei Xiang, Xiaoyuan Liang, Lili Yang, Xingyu Liu, Sheng Yan. CT radiomics nomogram for the preoperative prediction of severe post-hepatectomy liver failure in patients with huge (≥ 10 cm) hepatocellular carcinomaWorld Journal of Surgical Oncology 2021; 19(1) doi: 10.1186/s12957-021-02459-0
7
Maria Elena Laino, Francesco Fiz, Pierandrea Morandini, Guido Costa, Fiore Maffia, Mario Giuffrida, Ilaria Pecorella, Matteo Gionso, Dakota Russell Wheeler, Martina Cambiaghi, Luca Saba, Martina Sollini, Arturo Chiti, Victor Savevsky, Guido Torzilli, Luca Viganò. A virtual biopsy of liver parenchyma to predict the outcome of liver resectionUpdates in Surgery 2023; 75(6): 1519 doi: 10.1007/s13304-023-01495-7
8
Aysegul Sagir Kahraman. Radiomics in Hepatocellular CarcinomaJournal of Gastrointestinal Cancer 2020; 51(4): 1165 doi: 10.1007/s12029-020-00493-x
9
Joao Miranda, Natally Horvat, Gilton Marques Fonseca, Jose de Arimateia Batista Araujo-Filho, Maria Clara Fernandes, Charlotte Charbel, Jayasree Chakraborty, Fabricio Ferreira Coelho, Cesar Higa Nomura, Paulo Herman. Current status and future perspectives of radiomics in hepatocellular carcinomaWorld Journal of Gastroenterology 2023; 29(1): 43-60 doi: 10.3748/wjg.v29.i1.43
10
Joseph P. Doyle, Pranav H. Patel, Nikoletta Petrou, Joshua Shur, Matthew Orton, Sacheen Kumar, Ricky H. Bhogal. Radiomic applications in upper gastrointestinal cancer surgeryLangenbeck's Archives of Surgery 2023; 408(1) doi: 10.1007/s00423-023-02951-z
11
Lun Lin, Yinghui Jin, Wenxin Hu. Prognostic Survival Prediction of Patients with Liver Cirrhosis based on Radiomics Data and Clinical FeaturesProceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things 2024; : 141 doi: 10.1145/3670105.3670129
12
Changfeng Li, Qiang Wang, Mengda Zou, Ping Cai, Xuesong Li, Kai Feng, Leida Zhang, Ernesto Sparrelid, Torkel B. Brismar, Kuansheng Ma. A radiomics model based on preoperative gadoxetic acid–enhanced magnetic resonance imaging for predicting post-hepatectomy liver failure in patients with hepatocellular carcinomaFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1164739
13
Sandra Baleato-González, Joan C. Vilanova, Antonio Luna, Rafael Menéndez de Llano, Juan Pablo Laguna-Reyes, Diogo M. Machado-Pereira, Anaberta Bermúdez-Naveira, Iria Osorio-Vázquez, Lidia Alcalá-Mata, Roberto García-Figueiras. Current and Advanced Applications of Gadoxetic Acid–enhanced MRI in Hepatobiliary DisordersRadioGraphics 2023; 43(4) doi: 10.1148/rg.220087
14
Xue-Qin Gong, Yun-Yun Tao, Yao–Kun Wu, Ning Liu, Xi Yu, Ran Wang, Jing Zheng, Nian Liu, Xiao-Hua Huang, Jing-Dong Li, Gang Yang, Xiao-Qin Wei, Lin Yang, Xiao-Ming Zhang. Progress of MRI Radiomics in Hepatocellular CarcinomaFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.698373
15
Qiang Wang, Anrong Wang, Ernesto Sparrelid, Jiaxing Zhang, Ying Zhao, Kuansheng Ma, Torkel B. Brismar. Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic reviewEuropean Radiology 2022; 32(3): 1792 doi: 10.1007/s00330-021-08297-8
16
Xing Wen, Xu Feng, Yao Kang, Long Xu. Application Progress of Gd-EOB-DTPA-Enhanced MRI T1 Mapping in Hepatic Diffuse DiseasesCurrent Medical Imaging Reviews 2022; 18(12): 1276 doi: 10.2174/1573405617666211130153450
17
Luca Viganò, Angela Ammirabile, Alexander Zwanenburg. Radiomics in liver surgery: defining the path toward clinical applicationUpdates in Surgery 2023; 75(6): 1387 doi: 10.1007/s13304-023-01620-6
18
Kui Sun, Liting Shi, Jianfeng Qiu, Yuteng Pan, Ximing Wang, Haiyan Wang. Multi-phase contrast-enhanced magnetic resonance image-based radiomics-combined machine learning reveals microscopic ultra-early hepatocellular carcinoma lesionsEuropean Journal of Nuclear Medicine and Molecular Imaging 2022; 49(8): 2917 doi: 10.1007/s00259-022-05742-8
19
Jingwei Wei, Meng Niu, Ouyang Yabo, Yu Zhou, Xiaoke Ma, Xue Yang, Hanyu Jiang, Hui Hui, Hongyi Cao, Binwei Duan, Hongjun Li, Dawei Ding, Jie Tian. Advances in artificial intelligence techniques drive the application of radiomics in the clinical research of hepatocellular carcinomaiLIVER 2022; 1(1): 49 doi: 10.1016/j.iliver.2022.02.005
20
Shuaitong Zhang, Wei Mu, Di Dong, Jingwei Wei, Mengjie Fang, Lizhi Shao, Yu Zhou, Bingxi He, Song Zhang, Zhenyu Liu, Jianhua Liu, Jie Tian. The Applications of Artificial Intelligence in Digestive System Neoplasms: A ReviewHealth Data Science 2023; 3 doi: 10.34133/hds.0005
21
Wei Liu, Xue Liu, Mei Peng, Gong-Quan Chen, Peng-Hua Liu, Xin-Wu Cui, Fan Jiang, Christoph F Dietrich. Artificial intelligence for hepatitis evaluationWorld Journal of Gastroenterology 2021; 27(34): 5715-5726 doi: 10.3748/wjg.v27.i34.5715