Author

Guha Balakrishnan

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Sep 2026

FPGL: A meta-learned implicit neural representation framework for medical image segmentation.

Modern state-of-the-art deep learning architectures for medical image segmentation rely strictly on feed-forward passes over dense pixel/voxel grids, which scale poorly to large signals. Implicit neural representations (INRs) offer a lightweight, continuous alternative to raw grids, but are traditionally signal-specifi...

Kushal Vyas, Daniel Kim, T. Netherton et al. · Medical Image Analysis · 0 citations

Review Aug 2026

Rapid Debris-Volume Estimation from Post-Hurricane Aerial Imagery

Hurricane debris removal is planned, contracted, and federally reimbursed on the basis of volume estimates, yet operational practice still relies on parametric forecasts with 41-90% documented over-estimation or on truck-load tallies that arrive only after hauling begins. We present DebrisHeightNet, a segmentation-cond...

K. Amini, Jamie E. Padgett, Guha Balakrishnan · 0 citations