Preprint, 2026
A pathology-informed score-based diffusion model that localizes neonatal HIE lesions on ADC maps without voxel-wise lesion supervision.
Accepted, ISMRM, 2026
A clinically interpretable transformer applied to diffusion MRI to predict biological brain age of neonates and discover associations between neurodevelopmental delay to preterm and NICU conditions.
Radiology Advances, 2025
A multiview transformer framework with infomration fusion across different anatomical views and numerical brain volume features for brain age prediction in linear computational cost, which emphasizes generalization across sites and interpretability of imaging features.
Preprint, 2023
Introduces a transformer-based masked adversarial defense with simple plug-in that reduces vulnerability to patch attacks while maintaining high performance on benign data.
Journal of Information Science, 2021
Uses guided LDA to track evolving public discussion themes in Twitter data collected during Hurricane Laura.
Differential Geometry in Computer Vision and Machine Learning workshop, CVPR, 2021
Develops convolutional blocks through jacobian space whose outputs are stable under diffeomorphic deformations of the input domain.
arXiv preprint, 2021
Empirically studies how adversarial examples behave in deep metric learning and defenses to improve the robustness of deep metric learning.
ISPRS International Journal of Geo-Information, 2020
Applies semantic segmentation to SAR imagery to map surface water in freshwater lakes for hydrologic monitoring.
