 Connection
Harrison Bai to Carcinoma, Hepatocellular
This is a "connection" page, showing publications Harrison Bai has written about Carcinoma, Hepatocellular.
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Connection Strength |
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1.513 |
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Hsieh C, Laguna A, Ikeda I, Maxwell AWP, Chapiro J, Nadolski G, Jiao Z, Bai HX. Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma. Radiology. 2023 11; 309(2):e222891.
Score: 0.611
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Hu R, Li H, Horng H, Thomasian NM, Jiao Z, Zhu C, Zou B, Bai HX. Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI. Sci Rep. 2022 05 13; 12(1):7924.
Score: 0.552
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Mendiratta-Lala M, Aslam A, Bai HX, Chapiro J, De Baere T, Miyayama S, Chernyak V, Matsui O, Vilgrain V, Fidelman N. Ethiodized oil as an imaging biomarker after conventional transarterial chemoembolization. Eur Radiol. 2024 May; 34(5):3284-3297.
Score: 0.153
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Huang Y, Shen Q, Bai HX, Wu J, Ma C, Shang Q, Hunt SJ, Karakousis G, Zhang PJ, Zhang Z. Comparison of Radiofrequency Ablation and Hepatic Resection for the Treatment of Hepatocellular Carcinoma 2 cm or Less. J Vasc Interv Radiol. 2018 09; 29(9):1218-1225.e2.
Score: 0.106
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Tang H, Bai HX, Su C, Lee AM, Yang L. The effect of cirrhosis on radiogenomic biomarker's ability to predict microvascular invasion and outcome in hepatocellular carcinoma. Hepatology. 2016 08; 64(2):691-2.
Score: 0.091
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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