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eess.IV2026
SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-rays
Yuanyun Hu, Yuli Wang, Noemi Acevedo Rodriguez +20
Critical retained foreign objects (RFOs) on intraoperative chest radiographs are rare but high-risk events. Their scarcity limits robust automated detection model training and gene…
eess.IV2025
Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection
Yuli Wang, Victoria R. Shi, Liwei Zhou +13
Critical retained foreign objects (RFOs), including surgical instruments like sponges and needles, pose serious patient safety risks and carry significant financial and legal impli…
eess.IV2024
Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities
Yuli Wang, Victoria Shi, Wen-Chi Hsu +9
Purpose: To evaluate various Segmental Anything Model (SAM) prompt strategies across four lesions datasets and to subsequently develop a reinforcement learning (RL) agent to optimi…