Wanzhou Chen

RecallRefine: Coverage-Constrained Coarse-to-Fine Segmentationfor Small 3D Lesions

RECALLREFINE improves 3D lesion segmentation by addressing coarse-stage misses through coverage-constrained candidate selection, increasing sensitivity and Dice score for small lesions.

GapDream: Active Synthetic Evidence Acquisition for Long-Tailed Medical Imaging

GAP DREAM improves medical image generation by actively acquiring synthetic evidence that reduces evidence gaps, achieving better performance with fewer samples than random or balanced methods.

ErrorRoute: Budgeted Utility-Aware Resolution Routingfor 3D Medical Image Segmentation

ERRORROUTE improves 3D medical image segmentation by selectively allocating computation to regions where additional processing provides the most utility, achieving higher accuracy with lower computational cost.

PathEdit: Diagnostic-Preserving Counterfactual Medical Image Editing through State-Factorized Generative Intervention

PATHEDIT edits medical images to change diagnoses while preserving other patient characteristics, achieving high target success and minimal off-target changes.