2 citations · 3 across the 4 of their papers we have counts for
4 papers
Generating Seamless Virtual Immunohistochemical Whole Slide Images with Content and Color Consistency
Sitong Liu, Kechun Liu, Samuel Margolis +6
Immunohistochemical (IHC) stains play a vital role in a pathologist's analysis of medical images, providing crucial diagnostic information for various diseases. Virtual staining fr…
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images
Kechun Liu, Wenjun Wu, Joann G. Elmore +1
Accurate cancer diagnosis remains a critical challenge in digital pathology, largely due to the gigapixel size and complex spatial relationships present in whole slide images. Trad…
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration
Kechun Liu, Yitong Jiang, Inchang Choi +1
Recent work on discrete generative priors, in the form of codebooks, has shown exciting performance for image reconstruction and restoration, as the discrete prior space spanned by…
DeepDPM: Dynamic Population Mapping via Deep Neural Network
Zefang Zong, Jie Feng, Kechun Liu +2
Dynamic high resolution data on human population distribution is of great importance for a wide spectrum of activities and real-life applications, but is too difficult and expensiv…