Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease

Kwon, H., Son, S., Morton, S. U., Wypij, D., Cleveland, J., Rollins, C. K., Huang, H., Goldmuntz, E., Panigrahy, A., Thomas, N. H., Chung, W. K., Anagnostou, E., Norris-Brilliant, A., Gelb, B. D., McQuillen, P., Porter, G. A., Tristani-Firouzi, M., Russell, M. W., Roberts, A. E., … Im, K. (2025). Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease. Medical Image Analysis, 102, 103538. https://doi.org/10.1016/j.media.2025.103538
Authors:
Hyeokjin Kwon
Seungyeon Son
Sarah U Morton
David Wypij
John Cleveland
Caitlin K Rollins
Hao Huang
Elizabeth Goldmuntz
Ashok Panigrahy
Nina H Thomas
Wendy K Chung
Evdokia Anagnostou
Ami Norris-Brilliant
Bruce D Gelb
Patrick McQuillen
George A Porter
Martin Tristani-Firouzi
Mark W Russell
Amy E Roberts
Jane W Newburger
P Ellen Grant
Jong-Min Lee
Kiho Im
Affiliated Authors:
Wendy K Chung
Author Keywords:
congenital heart disease
graph neural networks
self-explainable model
sulcal pattern analysis
Publication Type:
Article
Unique ID:
10.1016/j.media.2025.103538
PMID:
Publication Date:
Data Source:
PubMed

Record Created: