 Connection
Harrison Bai to Sensitivity and Specificity
This is a "connection" page, showing publications Harrison Bai has written about Sensitivity and Specificity.
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Connection Strength |
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0.529 |
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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: 0.127
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Wang R, Cai Y, Lee IK, Hu R, Purkayastha S, Pan I, Yi T, Tran TML, Lu S, Liu T, Chang K, Huang RY, Zhang PJ, Zhang Z, Xiao E, Wu J, Bai HX. Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging. Eur Radiol. 2021 Jul; 31(7):4960-4971.
Score: 0.114
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Bai HX, Wang R, Xiong Z, Hsieh B, Chang K, Halsey K, Tran TML, Choi JW, Wang DC, Shi LB, Mei J, Jiang XL, Pan I, Zeng QH, Hu PF, Li YH, Fu FX, Huang RY, Sebro R, Yu QZ, Atalay MK, Liao WH. Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT. Radiology. 2020 09; 296(3):E156-E165.
Score: 0.110
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Bai HX, Hsieh B, Xiong Z, Halsey K, Choi JW, Tran TML, Pan I, Shi LB, Wang DC, Mei J, Jiang XL, Zeng QH, Egglin TK, Hu PF, Agarwal S, Xie FF, Li S, Healey T, Atalay MK, Liao WH. Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT. Radiology. 2020 08; 296(2):E46-E54.
Score: 0.109
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Yang F, Hu R, Hu J, Zhao L, Zhang Y, Mao Y, Tang J, Li S, He J, Chen R, Guo J, Zhang W, Zhu L, Jiao X, Liu S, Luo G, Zhou H, Fang X, Zheng H, Li L, Han Z, Jiao Z, Bai HX, Li J, Liao W. Automated deep learning-assisted early detection of radiation-induced temporal lobe injury on MRI: a multicenter retrospective analysis. Eur Radiol. 2025 Sep; 35(9):5239-5251.
Score: 0.039
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Kanne JP, Bai H, Bernheim A, Chung M, Haramati LB, Kallmes DF, Little BP, Rubin GD, Sverzellati N. COVID-19 Imaging: What We Know Now and What Remains Unknown. Radiology. 2021 06; 299(3):E262-E279.
Score: 0.029
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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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