Kaimin Song — accepted AI-conference papers

2024

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

Ming Hu*, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, zhongxing xu +8

ECCV 2024poster

"Surgical scene perception via videos is critical for advancing robotic surgery, telesurgery, and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and richly annotated video datasets has hindered the development of intelligent systems for surgical workflow analysi…

Cited by 22 Source ↗PDF ↗code ↗Scholar ↗

2023

Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment

Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge

AAAI 2023technical

Generalizing a deep learning model to new domains is crucial for computer-aided medical diagnosis systems. Most existing unsupervised domain adaptation methods have made significant progress in reducing the domain distribution gap through adversarial training. However, these methods may still produc…

Cited by 35 Source ↗PDF ↗code ↗Scholar ↗