 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Debashis Ghosh and Tellen Bennett.
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Connection Strength |
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1.010 |
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Xing F, Cornish TC, Bennett TD, Ghosh D. Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images. IEEE Trans Med Imaging. 2021 10; 40(10):2880-2896.
Score: 0.210
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Xing F, Bennett T, Ghosh D. Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification. Med Image Comput Comput Assist Interv. 2019 Oct; 11764:740-749.
Score: 0.183
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King J, Russell S, Bennett TD, Ghosh D. Kung Faux Pandas Simplifying privacy protection. AMIA Jt Summits Transl Sci Proc. 2019; 2019:267-274.
Score: 0.177
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Russell S, Bennett TD, Ghosh D. Software engineering principles to improve quality and performance of R software. PeerJ Comput Sci. 2019; 5:e175.
Score: 0.174
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Bennett TD, Callahan TJ, Feinstein JA, Ghosh D, Lakhani SA, Spaeder MC, Szefler SJ, Kahn MG. Data Science for Child Health. J Pediatr. 2019 05; 208:12-22.
Score: 0.174
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Zhang X, Cornish TC, Yang L, Bennett TD, Ghosh D, Xing F. Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67. JCO Clin Cancer Inform. 2020 07; 4:666-679.
Score: 0.048
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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: 0.044
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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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