 Connection
Harrison Bai to Reproducibility of Results
This is a "connection" page, showing publications Harrison Bai has written about Reproducibility of Results.
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Connection Strength |
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0.206 |
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He Y, Pan I, Bao B, Halsey K, Chang M, Liu H, Peng S, Sebro RA, Guan J, Yi T, Delworth AT, Eweje F, States LJ, Zhang PJ, Zhang Z, Wu J, Peng X, Bai HX. Deep learning-based classification of primary bone tumors on radiographs: A preliminary study. EBioMedicine. 2020 Dec; 62:103121.
Score: 0.092
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Bai HX, Zou Y, Lee AM, Lancaster E, Yang L. Diagnostic Value and Safety of Brain Biopsy in Patients With Cryptogenic Neurological Disease: A Systematic Review and Meta-analysis of 831 Cases. Neurosurgery. 2015 Aug; 77(2):283-95; discussion 295.
Score: 0.064
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Liu H, Ma Z, Wei L, Chen Z, Peng Y, Jiao Z, Bai H, Jing B. A radiomics-based brain network in T1 images: construction, attributes, and applications. Cereb Cortex. 2024 01 31; 34(2).
Score: 0.029
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Luo YH, Xi IL, Wang R, Abdallah HO, Wu J, Vance AZ, Chang K, Kohi M, Jones L, Reddy S, Zhang ZS, Bai HX, Shlansky-Goldberg R. Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization. J Vasc Interv Radiol. 2020 Jun; 31(6):1010-1017.e3.
Score: 0.022
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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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