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Lingdao Sha

University of Illinois Chicago · US
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Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Normalization (sociology) and Artificial intelligence, with related work in Pattern recognition (psychology), Deblurring, Stromal cell. Notable publications include 'Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images', 'Graph Laplacian Regularization with Sparse Coding for Image Restoration and Representation', and 'Color normalization of histology slides using graph regularized sparse NMF'.
h-index
citations
93
works
3
NIH funding
primary concept
email

Recent publications

Graph Laplacian Regularization with Sparse Coding for Image Restoration and Representation
IEEE Transactions on Circuits and Systems for Video Technology 2019cited by 24position: firstdoi
Color normalization of histology slides using graph regularized sparse NMF
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2017cited by 11position: firstdoi
Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images
Journal of Pathology Informatics 2016cited by 58position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Dan Schonfeld · University of Illinois Chicago2 papers (2017–2019)Amit Sethi · University of Illinois Chicago2 papers (2016–2017)Abhishek Vahadane · Technical University of Munich1 papers (2016–2016)Virgilia Macias · University of Illinois Chicago1 papers (2016–2016)Peter H. Gann · University of Illinois Chicago1 papers (2016–2016)Ryan Deaton · Illinois College1 papers (2016–2016)Neeraj Kumar · University of Illinois Chicago1 papers (2016–2016)Jing Wang · University of Illinois Chicago1 papers (2019–2019)
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