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Cited by in CrossRef
For: Miranda J, Horvat N, Fonseca GM, Araujo-Filho JAB, Fernandes MC, Charbel C, Chakraborty J, Coelho FF, Nomura CH, Herman P. Current status and future perspectives of radiomics in hepatocellular carcinoma. World J Gastroenterol 2023; 29(1): 43-60 [PMID: 36683711 DOI: 10.3748/wjg.v29.i1.43]
URL: https://www.wjgnet.com/1007-9327/full/v29/i1/43.htm
Number Citing Articles
1
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
2
Hanting Dai, Chuan Yan, Wanrong Huang, Yifan Pan, Feng Pan, Yamei Liu, Shunli Wang, Huifang Wang, Rongping Ye, Yueming Li. A Nomogram Based on MRI Visual Decision Tree to Evaluate Vascular Endothelial Growth Factor in Hepatocellular CarcinomaJournal of Magnetic Resonance Imaging 2024;  doi: 10.1002/jmri.29491
3
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
4
Olga S. Regentova, Roman A. Parkhomenko, Nikolay I. Sergeyev, Vladimir K. Bozhenko, Pavel V. Polushkin, Vladimir А. Solodkiy. Prospects for the application of radiomics to brain tumorsDigital Diagnostics 2024; 5(3): 567 doi: 10.17816/DD625382
5
Jin Jin, Ying Jiang, Yu-Lan Zhao, Pin-Tong Huang. Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysisAcademic Radiology 2024; 31(2): 467 doi: 10.1016/j.acra.2023.09.008
6
Xue Zhang, Yixue Xia, Lu Cao, Benlong Ji, Zhe Ge, Qingyun Zheng, Zhengtang Qi, Shuzhe Ding. PC 18:1/18:1 mediates the anti-inflammatory effects of exercise and remodels tumor microenvironment of hepatocellular carcinomaLife Sciences 2024; 336: 122335 doi: 10.1016/j.lfs.2023.122335
7
Marta Zerunian, Ilaria Nacci, Damiano Caruso, Michela Polici, Benedetta Masci, Domenico De Santis, Paolo Mercantini, Giulia Arrivi, Federica Mazzuca, Pasquale Paolantonio, Emanuela Pilozzi, Andrea Vecchione, Mariarita Tarallo, Enrico Fiori, Elsa Iannicelli, Andrea Laghi. Is CT Radiomics Superior to Morphological Evaluation for pN0 Characterization? A Pilot Study in Colon CancerCancers 2024; 16(3): 660 doi: 10.3390/cancers16030660
8
Yunqing Yin, Wei Zhang, Yanhui Chen, Yanfang Zhang, Xinying Shen. Radiomics predicting immunohistochemical markers in primary hepatic carcinoma: Current status and challengesHeliyon 2024; 10(23): e40588 doi: 10.1016/j.heliyon.2024.e40588
9
Benjamin Koh, Pojsakorn Danpanichkul, Meng Wang, Darren Jun Hao Tan, Cheng Han Ng. Application of artificial intelligence in the diagnosis of hepatocellular carcinomaeGastroenterology 2023; 1(2): e100002 doi: 10.1136/egastro-2023-100002
10
Maria-Fatima Chilaca-Rosas, Melissa Garcia-Lezama, Sergio Moreno-Jimenez, Ernesto Roldan-Valadez. Diagnostic Performance of Selected MRI-Derived Radiomics Able to Discriminate Progression-Free and Overall Survival in Patients with Midline Glioma and the H3F3AK27M MutationDiagnostics 2023; 13(5): 849 doi: 10.3390/diagnostics13050849
11
Andrzej S Tarnawski. Editor-in-Chief articles of choice and comments at the year-end of 2023World Journal of Gastroenterology 2024; 30(1): 1-8 doi: 10.3748/wjg.v30.i1.1