Modeling Variability in Brain Architecture with Deep Feature Learning. - Aishwarya H. Balwani; Eva L. Dyer (ACSSC, 2019)

A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure. - Ran Liu; Cem Subakan; Aishwarya H. Balwani; Jennifer D. Whitesell; Julie Harris 002; Sanmi Koyejo; Eva L. Dyer (MICCAI (5), 2020)

Multi-Scale Modeling of Neural Structure in X-Ray Imagery. - Aishwarya H. Balwani; Joseph D. Miano; Ran Liu; Lindsey Kitchell; Judy A. Prasad; Erik C. Johnson; William R. Gray Roncal; Eva L. Dyer (ICIP, 2021)

TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural Networks. - Chandramouli N. Amarnath; Aishwarya H. Balwani; Kwondo Ma; Abhijit Chatterjee (CoRR, 2021)

Zeroth-Order Topological Insights into Iterative Magnitude Pruning. - Aishwarya H. Balwani; Jakob Krzyston (TAG-ML, 2022)