Facilitating Valid Statistical Inference in Biomedical Image Synthesis
Jiangmei Xiong, Shunxing Bao, Qi Liu…·Siyuan Ma
This paper evaluates the statistical validity of synthetic biomedical images and introduces PAMS to improve biological inference.
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Vanderbilt UniversityORCID 0000-0001-6376-4292Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
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Jiangmei Xiong, Shunxing Bao, Qi Liu…·Siyuan Ma
This paper evaluates the statistical validity of synthetic biomedical images and introduces PAMS to improve biological inference.
Alexander Lin, Shunxing Bao, Ken S. Lau…·Siyuan Ma
BASSL-MI uses self-supervised learning to identify clinically relevant tumor niches in multiplexed imaging without requiring cell segmentation.
Joon Sik Park, Eppu Manninen, Shunxing Bao…·Dan Benjamini
This study uses multidimensional MRI to analyze cellular-scale microstructural changes in the human brain across aging, revealing increased heterogeneity and loss of microscopic restriction.
Jia Li, Alan J. Simmons, Caroline V. Hawkins…·Qi Liu
The paper identifies a novel epithelial cell type, LND, in Crohn's disease that is associated with immune dysregulation and disease activity.
Eppu Manninen, Shunxing Bao, Bennett A. Landman…·Dan Benjamini
This paper evaluates the reliability and reproducibility of multidimensional diffusion-relaxation MRI (MD-MRI) in the human brain, showing it can reliably capture structural and chemical diversity within voxels.