 Connection
Harrison Bai to Bayes Theorem
This is a "connection" page, showing publications Harrison Bai has written about Bayes Theorem.
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Connection Strength |
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0.896 |
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Kim DD, Chandra RS, Yang L, Wu J, Feng X, Atalay M, Bettegowda C, Jones C, Sair H, Liao WH, Zhu C, Zou B, Kazerooni AF, Nabavizadeh A, Jiao Z, Peng J, Bai HX. Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction. J Imaging Inform Med. 2024 Oct; 37(5):2099-2107.
Score: 0.706
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Purkayastha S, Zhao Y, Wu J, Hu R, McGirr A, Singh S, Chang K, Huang RY, Zhang PJ, Silva A, Soulen MC, Stavropoulos SW, Zhang Z, Bai HX. Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm. Sci Rep. 2020 11 11; 10(1):19503.
Score: 0.140
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Chen J, Wei S, Liu Y, Bian Z, He Y, Carass A, Bai H, Du Y. Unsupervised learning of spatially varying regularization for diffeomorphic image registration. Med Image Anal. 2026 02; 108:103887.
Score: 0.050
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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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