3 citations · 9 across the 22 of their papers we have counts for
7 papers · 1 filter
MoE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and Visualization
Zelin Zang, Yuhao Wang, Jinlin Wu +4
Dimensionality reduction (DR) plays a crucial role in various fields, including data engineering and visualization, by simplifying complex datasets while retaining essential inform…
SurgTrack: CAD-Free 3D Tracking of Real-world Surgical Instruments
Wenwu Guo, Jinlin Wu, Zhen Chen +4
Vision-based surgical navigation has received increasing attention due to its non-invasive, cost-effective, and flexible advantages. In particular, a critical element of the vision…
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…
Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics
Huan Xu, Jinlin Wu, Guanglin Cao +3
Ultrasonography has revolutionized non-invasive diagnostic methodologies, significantly enhancing patient outcomes across various medical domains. Despite its advancements, integra…
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…
Enhancing Surgical Robots with Embodied Intelligence for Autonomous Ultrasound Scanning
Huan Xu, Jinlin Wu, Guanglin Cao +3
Ultrasound robots are increasingly used in medical diagnostics and early disease screening. However, current ultrasound robots lack the intelligence to understand human intentions…
AccidentBlip: Agent of Accident Warning based on MA-former
Yihua Shao, Yeling Xu, Xinwei Long +7
In complex transportation systems, accurately sensing the surrounding environment and predicting the risk of potential accidents is crucial. Most existing accident prediction metho…