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Connection

Harrison Bai to Image Interpretation, Computer-Assisted

This is a "connection" page, showing publications Harrison Bai has written about Image Interpretation, Computer-Assisted.

 
Connection Strength
 
 
 
0.703
 
  1. Chen J, Wei S, Honkamaa J, Marttinen P, Zhang H, Liu M, Zhou Y, Tan Z, Wang Z, Wang Y, Zhou H, Hu S, Zhang Y, Tao Q, Förner L, Wendler T, Jian B, Wiestler B, Hable T, Kim J, Ruan D, Madesta F, Sentker T, Heyer W, Zuo L, Dai Y, Wu J, Prince JL, Bai H, Du Y, Liu Y, Hering A, Dorent R, Hansen L, Heinrich MP, Carass A. Beyond the LUMIR challenge: The pathway to foundational registration models. Med Image Anal. 2026 Sep; 113:104175.
    View in: PubMed
    Score: 0.204
  2. 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.
    View in: PubMed
    Score: 0.196
  3. 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.
    View in: PubMed
    Score: 0.134
  4. Zhou H, Chang K, Bai HX, Xiao B, Su C, Bi WL, Zhang PJ, Senders JT, Vallières M, Kavouridis VK, Boaro A, Arnaout O, Yang L, Huang RY. Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas. J Neurooncol. 2019 Apr; 142(2):299-307.
    View in: PubMed
    Score: 0.122
  5. 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.
    View in: PubMed
    Score: 0.047
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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