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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
Hanning Ying, Xiaoqing Liu, Min Zhang, Yiyue Ren, Shihui Zhen, Xiaojie Wang, Bo Liu, Peng Hu, Lian Duan, Mingzhi Cai, Ming Jiang, Xiangdong Cheng, Xiangyang Gong, Haitao Jiang, Jianshuai Jiang, Jianjun Zheng, Kelei Zhu, Wei Zhou, Baochun Lu, Hongkun Zhou, Yiyu Shen, Jinlin Du, Mingliang Ying, Qiang Hong, Jingang Mo, Jianfeng Li, Guanxiong Ye, Shizheng Zhang, Hongjie Hu, Jihong Sun, Hui Liu, Yiming Li, Xingxin Xu, Huiping Bai, Shuxin Wang, Xin Cheng, Xiaoyin Xu, Long Jiao, Risheng Yu, Wan Yee Lau, Yizhou Yu, Xiujun Cai. A multicenter clinical AI system study for detection and diagnosis of focal liver lesionsNature Communications 2024; 15(1) doi: 10.1038/s41467-024-45325-9
2
Ji-lan Huang, Ying Sun, Zhi-heng Wu, Hui-jun Zhu, Guo-jin Xia, Xi-shun Zhu, Jian-hua Wu, Kun-He Zhang. Differential diagnosis of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on spatial and channel attention mechanismsJournal of Cancer Research and Clinical Oncology 2023; 149(12): 10161 doi: 10.1007/s00432-023-04935-4
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
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
5
Keyur Radiya, Henrik Lykke Joakimsen, Karl Øyvind Mikalsen, Eirik Kjus Aahlin, Rolv-Ole Lindsetmo, Kim Erlend Mortensen. Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic reviewEuropean Radiology 2023; 33(10): 6689 doi: 10.1007/s00330-023-09609-w
6
Alireza Mohseni, Azarakhsh Baghdadi, Seyedeh Panid Madani, Haneyeh Shahbazian, Mohammad Mirza-Aghazadeh-Attari, Ali Borhani, Shadi Afyouni, Ghazal Zandieh, Marina Baretti, Amy K. Kim, Mark Yarchoan, Ihab R. Kamel. Predicting survival of patients with advanced hepatocellular carcinoma receiving combination targeted immunotherapy: an evaluation of volumetric imaging parametersAbdominal Radiology 2024;  doi: 10.1007/s00261-024-04257-0
7
Xiaomin Shen, Jinxin Wu, Junwei Su, Zhenyu Yao, Wei Huang, Li Zhang, Yiheng Jiang, Wei Yu, Zhao Li. Revisiting artificial intelligence diagnosis of hepatocellular carcinoma with DIKWH frameworkFrontiers in Genetics 2023; 14 doi: 10.3389/fgene.2023.1004481
8
Lingyun Wang, Lu Zhang, Beibei Jiang, Keke Zhao, Yaping Zhang, Xueqian Xie. Clinical application of deep learning and radiomics in hepatic disease imaging: a systematic scoping reviewThe British Journal of Radiology 2022; 95(1136) doi: 10.1259/bjr.20211136
9
B. Lakshmipriya, Biju Pottakkat, G. Ramkumar. Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic reviewArtificial Intelligence in Medicine 2023; 141: 102557 doi: 10.1016/j.artmed.2023.102557
10
Jia Guo, Dong Jiang, Yi Qian, Jiao Yu, Yi-Jun Gu, Yu-Qing Zhou, Hui-Ping Zhang. Differential diagnosis of different types of solid focal liver lesions using two-dimensional shear wave elastographyWorld Journal of Gastroenterology 2022; 28(32): 4716-4725 doi: 10.3748/wjg.v28.i32.4716
11
Ezinwanne Onuoha, Andrew D. Smith, Robert Cannon, Moh’d Khushman, Harrison Kim. Perfusion Change of Hepatocellular Carcinoma During Atezolizumab plus Bevacizumab Treatment: A Pilot StudyJournal of Gastrointestinal Cancer 2023; 54(3): 776 doi: 10.1007/s12029-022-00858-4
12
Saeed Moslehi, Amir Hossein Foruzan, Yen-Wei Chen, Hongjie Hu. Characterisation of focal liver lesions in multi-phase CT images using textural and pathological descriptorsComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2023; 11(4): 1523 doi: 10.1080/21681163.2022.2156390
13
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
14
Guoxu Fang, Jianhui Fan, Zongren Ding, Yongyi Zeng. Application of biological big data and radiomics in hepatocellular carcinomaiLIVER 2023; 2(1): 41 doi: 10.1016/j.iliver.2023.01.003
15
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
16
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Sung-Hoo Hong, Sung-Jea Ko. A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis With Incomplete DataIEEE Journal of Biomedical and Health Informatics 2022; 26(12): 6093 doi: 10.1109/JBHI.2022.3219123
17
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
18
Hyewon Son, Suwon Lee, Kwangsoo Kim, Kyo-in Koo, Chang Ho Hwang. Deep learning-based quantitative estimation of lymphedema-induced fibrosis using three-dimensional computed tomography imagesScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-19204-6
19
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
20
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
21
Qiuxia Wei, Nengren Tan, Shiyu Xiong, Wanrong Luo, Haiying Xia, Baoming Luo. Deep Learning Methods in Medical Image-Based Hepatocellular Carcinoma Diagnosis: A Systematic Review and Meta-AnalysisCancers 2023; 15(23): 5701 doi: 10.3390/cancers15235701
22
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
23
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
24
Mohammad Amin Salehi, Hamid Harandi, Soheil Mohammadi, Mohammad Shahrabi Farahani, Shayan Shojaei, Ramy R. Saleh. Diagnostic Performance of Artificial Intelligence in Detection of Hepatocellular Carcinoma: A Meta-analysisJournal of Imaging Informatics in Medicine 2024;  doi: 10.1007/s10278-024-01058-1
25
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
26
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
27
Keita Otani, Daiki Nishigaki, Taro Hatsutani, Takeshi Takamoto, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama, Khan M. Iftekharuddin, Weijie Chen. Automatic characterization of liver tumors from multi-phase CT imagesMedical Imaging 2023: Computer-Aided Diagnosis 2023; : 59 doi: 10.1117/12.2648644