 Connection
Fuyong Xing to Neuroendocrine Tumors
This is a "connection" page, showing publications Fuyong Xing has written about Neuroendocrine Tumors.
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Connection Strength |
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1.984 |
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Yang X, Chin BB, Silosky M, Wehrend J, Litwiller DV, Ghosh D, Xing F. Learning Without Real Data Annotations to Detect Hepatic Lesions in PET Images. IEEE Trans Biomed Eng. 2024 02; 71(2):679-688.
Score: 0.827
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Xing F, Silosky M, Ghosh D, Chin BB. Location-Aware Encoding for Lesion Detection in 68Ga-DOTATATE Positron Emission Tomography Images. IEEE Trans Biomed Eng. 2024 01; 71(1):247-257.
Score: 0.823
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Xing F, Cornish TC, Bennett T, Ghosh D, Yang L. Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images. IEEE Trans Biomed Eng. 2019 11; 66(11):3088-3097.
Score: 0.147
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Xing F, Shi X, Zhang Z, Cai J, Xie Y, Yang L. Transfer Shape Modeling Towards High-throughput Microscopy Image Segmentation. Med Image Comput Comput Assist Interv. 2016 Oct; 9902:183-190.
Score: 0.125
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Xie Y, Xing F, Shi X, Kong X, Su H, Yang L. Efficient and robust cell detection: A structured regression approach. Med Image Anal. 2018 02; 44:245-254.
Score: 0.033
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Xie Y, Kong X, Xing F, Liu F, Su H, Yang L. Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images. Med Image Comput Comput Assist Interv. 2015 Oct; 9351:374-382.
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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