7 citations · 19 across the 8 of their papers we have counts for
5 papers · 1 filter
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
Can Peng, Kun Zhao, Arnold Wiliem +4
The condition of the Glomeruli, or filter sacks, in renal Direct Immunofluorescence (DIF) specimens is a critical indicator for diagnosing kidney diseases. A digital pathology syst…
Deep inspection: an electrical distribution pole parts study via deep neural networks
Liangchen Liu, Teng Zhang, Kun Zhao +3
Electrical distribution poles are important assets in electricity supply. These poles need to be maintained in good condition to ensure they protect community safety, maintain reli…
Visual analytics for team-based invasion sports with significant events and Markov reward process
Kun Zhao, Takayuki Osogami, Tetsuro Morimura
In team-based invasion sports such as soccer and basketball, analytics is important for teams to understand their performance and for audiences to understand matches better. The pr…
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Meng Li, Lin Wu, Arnold Wiliem +3
Histopathology image analysis can be considered as a Multiple instance learning (MIL) problem, where the whole slide histopathology image (WSI) is regarded as a bag of instances (i…
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
Sam Maksoud, Arnold Wiliem, Kun Zhao +3
This work tackles the problem of generating a medical report for multi-image panels. We apply our solution to the Renal Direct Immunofluorescence (RDIF) assay which requires a path…