Connection
Fuyong Xing to Humans
This is a "connection" page, showing publications Fuyong Xing has written about Humans.
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Connection Strength |
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0.244 |
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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: 0.023
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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: 0.023
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Xing F, Yang X, Cornish TC, Ghosh D. Learning with limited target data to detect cells in cross-modality images. Med Image Anal. 2023 12; 90:102969.
Score: 0.022
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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: 0.018
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Xing F, Xie Y, Shi X, Chen P, Zhang Z, Yang L. Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinformatics. 2019 Sep 14; 20(1):472.
Score: 0.017
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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: 0.016
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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: 0.014
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Xing F, Yang L. Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-approximated Active Contour. Med Image Comput Comput Assist Interv. 2015 Oct; 9351:332-339.
Score: 0.013
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Xing F, Xie Y, Yang L. An Automatic Learning-Based Framework for Robust Nucleus Segmentation. IEEE Trans Med Imaging. 2016 Feb; 35(2):550-66.
Score: 0.013
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Xing F, Su H, Yang L. An integrated framework for automatic Ki-67 scoring in pancreatic neuroendocrine tumor. Med Image Comput Comput Assist Interv. 2013; 16(Pt 1):436-43.
Score: 0.011
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Xing F, Yang L. Robust selection-based sparse shape model for lung cancer image segmentation. Med Image Comput Comput Assist Interv. 2013; 16(Pt 3):404-12.
Score: 0.011
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Liu J, Xing F, Shaikh A, French B, Linguraru MG, Porras AR. Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images Using Context Encoding. IEEE Trans Med Imaging. 2023 10; 42(10):3117-3126.
Score: 0.006
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Zhuang Y, Xing F, Ghosh D, Hobbs BD, Hersh CP, Banaei-Kashani F, Bowler RP, Kechris K. Deep learning on graphs for multi-omics classification of COPD. PLoS One. 2023; 18(4):e0284563.
Score: 0.005
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Warsavage T, Xing F, Bar?n AE, Feser WJ, Hirsch E, Miller YE, Malkoski S, Wolf HJ, Wilson DO, Ghosh D. Quantifying the incremental value of deep learning: Application to lung nodule detection. PLoS One. 2020; 15(4):e0231468.
Score: 0.004
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Tiwari P, Colborn KL, Smith DE, Xing F, Ghosh D, Rosenberg MA. Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation. JAMA Netw Open. 2020 01 03; 3(1):e1919396.
Score: 0.004
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Shi X, Su H, Xing F, Liang Y, Qu G, Yang L. Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. Med Image Anal. 2020 02; 60:101624.
Score: 0.004
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Jensen AM, Tregellas JR, Sutton B, Xing F, Ghosh D. Kernel machine tests of association between brain networks and phenotypes. PLoS One. 2019; 14(3):e0199340.
Score: 0.004
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Sapkota M, Shi X, Xing F, Yang L. Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images. IEEE J Biomed Health Inform. 2019 03; 23(2):805-816.
Score: 0.004
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Shi X, Xing F, Xu K, Xie Y, Su H, Yang L. Supervised graph hashing for histopathology image retrieval and classification. Med Image Anal. 2017 Dec; 42:117-128.
Score: 0.004
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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: 0.004
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Sapkota M, Liu F, Xie Y, Su H, Xing F, Yang L. AIIMDs: An Integrated Framework of Automatic Idiopathic Inflammatory Myopathy Diagnosis for Muscle. IEEE J Biomed Health Inform. 2018 05; 22(3):942-954.
Score: 0.004
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Cai J, Lu L, Zhang Z, Xing F, Yang L, Yin Q. Pancreas Segmentation in MRI using Graph-Based Decision Fusion on Convolutional Neural Networks. Med Image Comput Comput Assist Interv. 2016 Oct; 9901:442-450.
Score: 0.003
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Su H, Xing F, Yang L. Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection. IEEE Trans Med Imaging. 2016 06; 35(6):1575-86.
Score: 0.003
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Su H, Xing F, Kong X, Xie Y, Zhang S, Yang L. Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. Med Image Comput Comput Assist Interv. 2015 Oct; 9351:383-390.
Score: 0.003
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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: 0.003
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Zhang X, Xing F, Su H, Yang L, Zhang S. High-throughput histopathological image analysis via robust cell segmentation and hashing. Med Image Anal. 2015 Dec; 26(1):306-15.
Score: 0.003
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Wang H, Xing F, Su H, Stromberg A, Yang L. Novel image markers for non-small cell lung cancer classification and survival prediction. BMC Bioinformatics. 2014 Sep 19; 15:310.
Score: 0.003
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Qi X, Xing F, Foran DJ, Yang L. Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set. IEEE Trans Biomed Eng. 2012 Mar; 59(3):754-65.
Score: 0.002
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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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