 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Michael Silosky and Fuyong Xing.
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Connection Strength |
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0.768 |
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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: 0.226
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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: 0.225
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Silosky M, Xing F, Wehrend J, Litwiller DV, Metzler SD, Chin BB. Modeling contrast-to-noise ratio from list mode reconstructions of 68Ga DOTATATE PET/CT: predicting detectability of hepatic metastases in shorter acquisition PET reconstructions. Am J Nucl Med Mol Imaging. 2023; 13(1):33-42.
Score: 0.212
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Yang X, Silosky M, Wehrend J, Litwiller DV, Nachiappan M, Metzler SD, Ghosh D, Xing F, Chin BB. Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance. Bioengineering (Basel). 2024 Feb 27; 11(3).
Score: 0.057
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Wehrend J, Silosky M, Xing F, Chin BB. Automated liver lesion detection in 68Ga DOTATATE PET/CT using a deep fully convolutional neural network. EJNMMI Res. 2021 Oct 02; 11(1):98.
Score: 0.048
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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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