Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
666-04-010 ISMRM Abstract

Clinically Interpretable Transformer Model Reveals Neurodevelopmental Delay in Preterm and NICU Infants Using Diffusion MRI

Primary: Neuro - Development
Secondary: Analysis Methods - Classification and Prediction
666-04-010 · Neuroimaging of Brain Development from Fetal Life Through Adolescence: Structure, Function, and Prediction · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row G
Keywords: Brain Age Estimation Diffusion Tensor Imaging (DTI) Neonatal brain development Preterm infants Transformer
Accepted
Yifan Shuai1, Pengyu Kan1, Xingyu Chen2, Kenichi Oishi 2
1Johns Hopkins University, Baltimore, United States of America
2Johns Hopkins University School of Medicine, Baltimore, United States of America
Presenting Author: Kenichi Oishi

Synopsis

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References

1. Fang Z, Pan N, Liu S, et al. Comparative analysis of brain age prediction using structural and diffusion MRIs in neonates. NeuroImage. 2024;299:120815. doi:10.1016/j.neuroimage.2024.120815 [doi]
2. Zhao H, Cai H, Liu M. Transformer based multi-modal MRI fusion for prediction of post-menstrual age and neonatal brain development analysis. Med Image Anal. 2024;94:103140. doi:10.1016/j.media.2024.103140 [doi]
3. Hughes EJ, Winchman T, Padormo F, et al. A dedicated neonatal brain imaging system. Magn Reson Med. 2017;78(2):794-804. doi:10.1002/mrm.26462 [doi]
4. Bastiani M, Andersson JLR, Cordero-Grande L, et al. Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. NeuroImage. 2019;185:750-763. doi:10.1016/j.neuroimage.2018.05.064 [doi]
5. Oishi K, Mori S, Donohue PK, et al. Multi-Contrast Human Neonatal Brain Atlas: Application to Normal Neonate Development Analysis. NeuroImage. 2011;56(1):8-20. doi:10.1016/j.neuroimage.2011.01.051 [doi]
6. Kan P, Jones C, Oishi K. OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor. arXiv. Preprint posted online June 21, 2025. doi:10.48550/arXiv.2506.17597 [doi]
7. Onda K, Kuo N, Nishimaki K, et al. OpenMAP-Di: Open Resource for Multiple Anatomical Region Parcellation of Diffusion MRI for Infantile Hypoxic-Ischemic Lesion Quantification. ISMRM 2024 conference abstract, Singapore.
8. Kingma DP, Ba J. Adam: A Method for Stochastic Optimization. arXiv. Preprint posted online January 30, 2017. doi:10.48550/arXiv.1412.6980 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/666-04-010