For: | Huang Z, Shu Z, Zhu RH, Xin JY, Wu LL, Wang HZ, Chen J, Zhang ZW, Luo HC, Li KY. Deep learning-based radiomics based on contrast-enhanced ultrasound predicts early recurrence and survival outcome in hepatocellular carcinoma. World J Gastrointest Oncol 2022; 14(12): 2380-2392 [PMID: 36568943 DOI: 10.4251/wjgo.v14.i12.2380] |
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URL: | https://www.wjgnet.com/1948-5204/full/v14/i12/2380.htm |
Number | Citing Articles |
1 |
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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2 |
Davide Ippolito, Cesare Maino, Marco Gatti, Paolo Marra, Riccardo Faletti, Francesco Cortese, Riccardo Inchingolo, Sandro Sironi. Radiological findings in non-surgical recurrent hepatocellular carcinoma: From locoregional treatments to immunotherapy. World Journal of Gastroenterology 2023; 29(11): 1669-1684 doi: 10.3748/wjg.v29.i11.1669
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3 |
Gary S. Collins, Rebecca Whittle, Garrett S. Bullock, Patricia Logullo, Paula Dhiman, Jennifer A. de Beyer, Richard D. Riley, Michael M. Schlussel. Open science practices need substantial improvement in prognostic model studies in oncology using machine learning. Journal of Clinical Epidemiology 2024; 165: 111199 doi: 10.1016/j.jclinepi.2023.10.015
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4 |
Julien Calderaro, Laura Žigutytė, Daniel Truhn, Ariel Jaffe, Jakob Nikolas Kather. Artificial intelligence in liver cancer — new tools for research and patient management. Nature Reviews Gastroenterology & Hepatology 2024; 21(8): 585 doi: 10.1038/s41575-024-00919-y
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5 |
Sen Wang, Ying Zhao, Jiayi Li, Zongmin Yi, Jun Li, Can Zuo, Yu Yao, Ailian Liu. Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma. Computerized Medical Imaging and Graphics 2024; 118: 102457 doi: 10.1016/j.compmedimag.2024.102457
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