3 citations · 3 across the 5 of their papers we have counts for
5 papers
SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
Zhen Chen, Xingjian Luo, Kun Yuan +6
Surgical video understanding is crucial for facilitating Computer-Assisted Surgery (CAS) systems. Despite significant progress in existing studies, two major limitations persist, i…
SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline Inference
Zhen Chen, Xingjian Luo, Jinlin Wu +5
Surgical phase recognition is critical for assisting surgeons in understanding surgical videos. Existing studies focused more on online surgical phase recognition, by leveraging pr…
ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention Understanding
Zhen Chen, Zongming Zhang, Wenwu Guo +5
Surgical instrument segmentation is crucial in surgical scene understanding, thereby facilitating surgical safety. Existing algorithms directly detected all instruments of pre-defi…
VS-Assistant: Versatile Surgery Assistant on the Demand of Surgeons
Zhen Chen, Xingjian Luo, Jinlin Wu +5
The surgical intervention is crucial to patient healthcare, and many studies have developed advanced algorithms to provide understanding and decision-making assistance for surgeons…
SurgPLAN: Surgical Phase Localization Network for Phase Recognition
Xingjian Luo, You Pang, Zhen Chen +4
Surgical phase recognition is crucial to providing surgery understanding in smart operating rooms. Despite great progress in automatic surgical phase recognition, most existing met…