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Cited by in CrossRef
For: Cao SE, Zhang LQ, Kuang SC, Shi WQ, Hu B, Xie SD, Chen YN, Liu H, Chen SM, Jiang T, Ye M, Zhang HX, Wang J. Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography. World J Gastroenterol 2020; 26(25): 3660-3672 [PMID: 32742134 DOI: 10.3748/wjg.v26.i25.3660]
URL: https://www.wjgnet.com/1948-5182/full/v26/i25/3660.htm
Number Citing Articles
1
Vincenza Granata, Roberta Grassi, Roberta Fusco, Andrea Belli, Carmen Cutolo, Silvia Pradella, Giulia Grazzini, Michelearcangelo La Porta, Maria Chiara Brunese, Federica De Muzio, Alessandro Ottaiano, Antonio Avallone, Francesco Izzo, Antonella Petrillo. Diagnostic evaluation and ablation treatments assessment in hepatocellular carcinomaInfectious Agents and Cancer 2021; 16(1) doi: 10.1186/s13027-021-00393-0
2
Beibei Li, Mingli Sun, Peng Yao, Zhihui Chang, Zhaoyu Liu. Radiogenomics: A Valuable Tool for the Clinical Assessment and Research of Ovarian CancerJournal of Computer Assisted Tomography 2022; 46(3): 371 doi: 10.1097/RCT.0000000000001279
3
Vincenza Granata, Roberta Fusco, Andrea Belli, Valentina Borzillo, Pierpaolo Palumbo, Federico Bruno, Roberta Grassi, Alessandro Ottaiano, Guglielmo Nasti, Vincenzo Pilone, Antonella Petrillo, Francesco Izzo. Conventional, functional and radiomics assessment for intrahepatic cholangiocarcinomaInfectious Agents and Cancer 2022; 17(1) doi: 10.1186/s13027-022-00429-z
4
Shuyi Hu, Xiajie Lyu, Weifeng Li, Xiaohan Cui, Qiaoyu Liu, Xiaoliang Xu, Jincheng Wang, Lin Chen, Xudong Zhang, Yin Yin, Yuvaraja Teekaraman. Radiomics Analysis on Noncontrast CT for Distinguishing Hepatic Hemangioma (HH) and Hepatocellular Carcinoma (HCC)Contrast Media & Molecular Imaging 2022; 2022: 1 doi: 10.1155/2022/7693631
5
Bing Feng, Xiao-Hong Ma, Shuang Wang, Wei Cai, Xia-Bi Liu, Xin-Ming Zhao. Application of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectivesWorld Journal of Gastroenterology 2021; 27(32): 5341-5350 doi: 10.3748/wjg.v27.i32.5341
6
Hemant Goyal, Syed A. A. Sherazi, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Muhammad Aziz, Saurabh Chandan, Jonathan Kopel, Benjamin Tharian, Neil Sharma, Nirav Thosani. Scope of Artificial Intelligence in Gastrointestinal OncologyCancers 2021; 13(21): 5494 doi: 10.3390/cancers13215494
7
Jing Chen, Li Wei, Tian-Wu Chen, Rui Li, Xiao-Ming Zhang, Chun-Mei Deng, Yi Zhang, Jing Xiong, Xian-Zhong Li, Zhi-Hong Li. Triphase contrast-enhanced CT to evaluate indications for autologous liver transplantation in patients with end-stage hepatic alveolar echinococcosisScientific Reports 2021; 11(1) doi: 10.1038/s41598-021-01586-8
8
Nicolò Cardobi, Alessandro Dal Palù, Federica Pedrini, Alessandro Beleù, Riccardo Nocini, Riccardo De Robertis, Andrea Ruzzenente, Roberto Salvia, Stefania Montemezzi, Mirko D’Onofrio. An Overview of Artificial Intelligence Applications in Liver and Pancreatic ImagingCancers 2021; 13(9): 2162 doi: 10.3390/cancers13092162
9
Seung-seob Kim, Dong Ho Lee, Min Woo Lee, So Yeon Kim, Jaeseung Shin, Jin-Young Choi, Byoung Wook Choi. Construction of a Standard Dataset for Liver Tumors for Testing the Performance and Safety of Artificial Intelligence-Based Clinical Decision Support SystemsJournal of the Korean Society of Radiology 2021; 82(5): 1196 doi: 10.3348/jksr.2020.0177