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Cited by in CrossRef
For: Hill CE, Biasiolli L, Robson MD, Grau V, Pavlides M. Emerging artificial intelligence applications in liver magnetic resonance imaging. World J Gastroenterol 2021; 27(40): 6825-6843 [PMID: 34790009 DOI: 10.3748/wjg.v27.i40.6825]
URL: https://www.wjgnet.com/1007-9327/full/v27/i40/6825.htm
Number Citing Articles
1
Yuri S. Velichko, Nicolo Gennaro, Meghana Karri, Matthew Antalek, Ulas Bagci. A Comprehensive Review of Deep Learning Approaches for Magnetic Resonance Imaging Liver Tumor AnalysisAdvances in Clinical Radiology 2023; 5(1): 1 doi: 10.1016/j.yacr.2023.06.001
2
Haoran Dai, Yuyao Xiao, Caixia Fu, Robert Grimm, Heinrich von Busch, Bram Stieltjes, Moon Hyung Choi, Zhoubing Xu, Guillaume Chabin, Chun Yang, Mengsu Zeng. Deep Learning–Based Approach for Identifying and Measuring Focal Liver Lesions on Contrast‐Enhanced MRIJournal of Magnetic Resonance Imaging 2024;  doi: 10.1002/jmri.29404
3
Róbert Stollmayer, Bettina Katalin Budai, Aladár Rónaszéki, Zita Zsombor, Ildikó Kalina, Erika Hartmann, Gábor Tóth, Péter Szoldán, Viktor Bérczi, Pál Maurovich-Horvat, Pál Novák Kaposi. Focal Liver Lesion MRI Feature Identification Using Efficientnet and MONAI: A Feasibility StudyCells 2022; 11(9): 1558 doi: 10.3390/cells11091558
4
Osama Alzoubi, Ahmad Arar, Viraj Singh, Sukru M. Erturk, Ferenc Mozes, Michael Pavlides. MRI in liver cirrhosisPortal Hypertension & Cirrhosis 2022; 1(1): 23 doi: 10.1002/poh2.6
5
Wilson Ong, Lei Zhu, Wenqiao Zhang, Tricia Kuah, Desmond Shi Wei Lim, Xi Zhen Low, Yee Liang Thian, Ee Chin Teo, Jiong Hao Tan, Naresh Kumar, Balamurugan A. Vellayappan, Beng Chin Ooi, Swee Tian Quek, Andrew Makmur, James Thomas Patrick Decourcy Hallinan. Application of Artificial Intelligence Methods for Imaging of Spinal MetastasisCancers 2022; 14(16): 4025 doi: 10.3390/cancers14164025
6
Sakil Kulkarni, Sudhir Bhimaniya, Lisa Chi, Stefani Tica, Saad Alghamdi, Janis Stoll, Karen Caudill, Jaquelyn Fleckenstein. Adult Primary Sclerosing Cholangitis (PSC) subjects have worse biliary disease at diagnosis compared to pediatric PSC subjectsClinical Imaging 2023; 97: 7 doi: 10.1016/j.clinimag.2023.01.012