OASIS improves median intensity reconstruction error for low-energy electron tracks from -41.1% to -13.3% by weighting overlap regions in the training loss for the MIGDAL optical TPC.
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation.arXiv e-prints, page arXiv:2501.09116, January 2025
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Overlap-aware segmentation for topological reconstruction of obscured objects
OASIS improves median intensity reconstruction error for low-energy electron tracks from -41.1% to -13.3% by weighting overlap regions in the training loss for the MIGDAL optical TPC.