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Jun 14, 2022 (publication date) through May 5, 2024
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Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Li B, Tai DI, Yan K, Chen YC, Chen CJ, Huang SF, Hsu TH, Yu WT, Xiao J, Le L, Harrison AP. Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning. World J Gastroenterol 2022; 28(22): 2494-2508 [PMID: 35979264 DOI: 10.3748/wjg.v28.i22.2494] |
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| URL: | https://www.wjgnet.com/1948-5182/full/v28/i22/2494.htm |
| Number | Citing Articles |
| 1 |
Fahad Muflih Alshagathrh, Mowafa Said Househ. Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review. Bioengineering 2022; 9(12): 748 doi: 10.3390/bioengineering9120748
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| 2 |
Elena Codruta Gheorghe, Carmen Nicolau, Adina Kamal, Anca Udristoiu, Lucian Gruionu, Adrian Saftoiu. Artificial Intelligence (AI)-Enhanced Ultrasound Techniques Used in Non-Alcoholic Fatty Liver Disease: Are They Ready for Prime Time?. Applied Sciences 2023; 13(8): 5080 doi: 10.3390/app13085080
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| 3 |
Yang Yang, Jing Liu, Changxuan Sun, Yuwei Shi, Julianna C. Hsing, Aya Kamya, Cody Auston Keller, Neha Antil, Daniel Rubin, Hongxia Wang, Haochao Ying, Xueyin Zhao, Yi-Hsuan Wu, Mindie Nguyen, Ying Lu, Fei Yang, Pinton Huang, Ann W. Hsing, Jian Wu, Shankuan Zhu. Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population. European Radiology 2023; 33(8): 5894 doi: 10.1007/s00330-023-09515-1
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| 4 |
H. Zamanian, A. Shalbaf, M.R. Zali, A.R. Khalaj, P. Dehghan, M. Tabesh, B. Hatami, R. Alizadehsani, Ru-San Tan, U. Rajendra Acharya. Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023). Computer Methods and Programs in Biomedicine 2024; 244: 107932 doi: 10.1016/j.cmpb.2023.107932
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| 5 |
Hussein Al-ogaili. Deep Learning Based Hybrid Classifier for Analyzing Hepatitis C in Ultrasound Images. Wasit Journal of Computer and Mathematics Science 2022; 1(4): 1 doi: 10.31185/wjcm.65
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| 6 |
Longfei Ma, Rui Wang, Qiong He, Lijie Huang, Xingyue Wei, Xu Lu, Yanan Du, Jianwen Luo, Hongen Liao. Artificial intelligence-based ultrasound imaging technologies for hepatic diseases. iLIVER 2022; 1(4): 252 doi: 10.1016/j.iliver.2022.11.001
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| 7 |
Jennifer Tai, Adam P Harrison, Hui-Ming Chen, Chiu-Yi Hsu, Tse-Hwa Hsu, Cheng-Jen Chen, Wen-Juei Jeng, Ming-Ling Chang, Le Lu, Dar-In Tai. Acoustic radiation force impulse predicts long-term outcomes in a large-scale cohort: High liver cancer, low comorbidity in hepatitis B virus. World Journal of Gastroenterology 2023; 29(14): 2188-2201 doi: 10.3748/wjg.v29.i14.2188
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| 8 |
Maria Chiara Brunese, Maria Rita Fantozzi, Roberta Fusco, Federica De Muzio, Michela Gabelloni, Ginevra Danti, Alessandra Borgheresi, Pierpaolo Palumbo, Federico Bruno, Nicoletta Gandolfo, Andrea Giovagnoni, Vittorio Miele, Antonio Barile, Vincenza Granata. Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma. Diagnostics 2023; 13(8): 1488 doi: 10.3390/diagnostics13081488
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| 9 |
Chia-Chien Kang, Tsang-En Wang, Chia-Yuan Liu, Ming-Jen Chen, Horng-Yuan Wang, Chen-Wang Chang, Ching-Wei Chang. Update on Imaging-based Noninvasive Methods for Assessing Hepatic Steatosis in Nonalcoholic Fatty Liver Disease. Journal of Medical Ultrasound 2024; doi: 10.4103/jmu.jmu_88_23
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| 10 |
Kumar Mohit, Ankit Shukla, Rajeev Gupta, Pramod Kumar Singh, Kushagra Agarwal, Basant Kumar. Contrastive Learning Embedded Siamese Neural Network for the Assessment of Fatty Liver. TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON) 2023; : 1261 doi: 10.1109/TENCON58879.2023.10322413
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| 11 |
Adam P. Harrison, Bowen Li, Tse-Hwa Hsu, Cheng-Jen Chen, Wan-Ting Yu, Jennifer Tai, Le Lu, Dar-In Tai. Steatosis Quantification on Ultrasound Images by a Deep Learning Algorithm on Patients Undergoing Weight Changes. Diagnostics 2023; 13(20): 3225 doi: 10.3390/diagnostics13203225
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