2 papers
cs.CV2026
ADMIL: Attention-Distilled Multiple Instance Learning for Selective Foundation Model Inference in Pathology
Duncan Stothers, Ren-Chin Wu, William Lotter
Attention-based multiple instance learning (ABMIL) using pathology foundation model embeddings is effective for slide-level tasks, but exhaustive inference requires applying a larg…
cs.LG2025
Radiation-Preserving Selective Imaging for Pediatric Hip Dysplasia: A Cross-Modal Ultrasound-Xray Policy with Limited Labels
Duncan Stothers, Ben Stothers, Emily Schaeffer +1
We study an ultrasound-first, radiation-preserving policy for developmental dysplasia of the hip (DDH) that requests a radiograph only when needed. We (i) pretrain modality-specifi…