3 citations · 7 across the 16 of their papers we have counts for
16 papers
Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning
Weiliang Huang, Huanrong Liu, Bob Zhang +5
Reliable surgical planning requires models to anticipate not only how instruments will move, but also how the operative visual state will evolve together with such motion. Existing…
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…
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking
Yingjia Xu, Jinlin Wu, Daming Gao +5
Text-based person retrieval aims to identify a target individual from an image gallery using a natural language description. Existing methods primarily focus on appearance-driven c…
Learning to Efficiently Adapt Foundation Models for Self-Supervised Endoscopic 3D Scene Reconstruction from Any Cameras
Beilei Cui, Long Bai, Mobarakol Islam +8
Accurate 3D scene reconstruction is essential for numerous medical tasks. Given the challenges in obtaining ground truth data, there has been an increasing focus on self-supervised…
Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping
Yiming Huang, Beilei Cui, Long Bai +5
Simultaneous Localization and Mapping (SLAM) is essential for precise surgical interventions and robotic tasks in minimally invasive procedures. While recent advancements in 3D Gau…
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…
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels
Qingyao Tian, Zhen Chen, Huai Liao +4
Single-image depth estimation is essential for endoscopy tasks such as localization, reconstruction, and augmented reality. Most existing methods in surgical scenes focus on in-dom…
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…
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
Long Bai, Tong Chen, Qiaozhi Tan +10
Wireless Capsule Endoscopy (WCE) is highly valued for its non-invasive and painless approach, though its effectiveness is compromised by uneven illumination from hardware constrain…
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…
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…
PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments
Zhen Sun, Huan Xu, Jinlin Wu +3
In surgical procedures, correct instrument counting is essential. Instance segmentation is a location method that locates not only an object's bounding box but also each pixel's sp…
Weakly Supervised YOLO Network for Surgical Instrument Localization in Endoscopic Videos
Rongfeng Wei, Jinlin Wu, Xuexue Bai +4
In minimally invasive surgery, surgical instrument localization is a crucial task for endoscopic videos, which enables various applications for improving surgical outcomes. However…