 Connection
Harrison Bai to Multimodal Imaging
This is a "connection" page, showing publications Harrison Bai has written about Multimodal Imaging.
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Connection Strength |
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0.870 |
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Dai Y, Imami M, Hu R, Zhang C, Zhao L, Kargilis DC, Zhang H, Yu G, Liao WH, Jiao Z, Zhu C, Yang L, Bai HX. Prediction of Motor Symptom Progression of Parkinson's Disease Through Multimodal Imaging-Based Machine Learning. J Imaging Inform Med. 2026 Apr; 39(2):1299-1310.
Score: 0.836
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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.
Score: 0.033
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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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