16 citations · 29 across the 10 of their papers we have counts for
5 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,…
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization
Fangting Zhou, Kejun He, Qiwei Li +2
High-throughput sequencing technology provides unprecedented opportunities to quantitatively explore human gut microbiome and its relation to diseases. Microbiome data are composit…