11 citations · 33 across the 9 of their papers we have counts for
4 papers · 1 filter
Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images
Esteban Fernández Morales, Cong Zhang, Guanghua Xiao +2
With the advanced imaging technology, digital pathology imaging of tumor tissue slides is becoming a routine clinical procedure for cancer diagnosis. This process produces massive…
Bayesian Modeling of Spatial Molecular Profiling Data via Gaussian Process
Qiwei Li, Minzhe Zhang, Yang Xie +1
The location, timing, and abundance of gene expression (both mRNA and proteins) within a tissue define the molecular mechanisms of cell functions. Recent technology breakthroughs i…
Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers
Chul Moon, Qiwei Li, Guanghua Xiao
Tumor shape is a key factor that affects tumor growth and metastasis. This paper proposes a topological feature computed by persistent homology to characterize tumor progression fr…
Bayesian Landmark-based Shape Analysis of Tumor Pathology Images
Cong Zhang, Guanghua Xiao, Chul Moon +2
Medical imaging is a form of technology that has revolutionized the medical field in the past century. In addition to radiology imaging of tumor tissues, digital pathology imaging,…