JSM2024
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Topic-Contributed Paper Session

Machine Learning Methods for Biomedical Imaging Data

Thu, Aug 8, 10:30 AM - 12:20 PM
Wei SunChair
WNAR

5 Presentations

Graph neural network for spatial omic data
10:35 AM - 10:55 AM
Si Liu
Co-authors: Li Hsu (Fred Hutchinson Cancer Research Center), Wei Sun (Fred Hutchinson Cancer Center)
Improving Deep Model Generalization in Cross-Domain Medical Image Analysis
10:55 AM - 11:15 AM
Fuyong Xing
Optimizing Deep Learning-Based Segmentation of Densely Packed Cells using Cell Surface Markers
11:15 AM - 11:35 AM
Youyi Fong (Fred Hutchinson Cancer Research Center)
Transforming images into data for spatial proteomics analysis
11:35 AM - 11:55 AM
Isaac Jenkins
Co-authors: Timothy Randolph (Fred Hutchinson Cancer Research Center)
Fast and reliable confidence intervals for a variance component or proportion with application to spatially-resolved transcriptomics
11:55 AM - 12:15 PM
Aaron Molstad (University of Minnesota)
Co-authors: Yiqiao Zhang (University of Florida), Karl Oskar Ekvall (University of Florida)
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