1 citations · 1 across the 7 of their papers we have counts for
7 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…
SutureFormer: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Space
Huanrong Liu, Chunlin Tian, Tongyu Jia +8
Predicting surgical needle trajectories from endoscopic video is critical for robot-assisted suturing, enabling anticipatory planning, real-time guidance, and safer motion executio…
TopoSculpt: Betti-Steered Topological Sculpting of 3D Fine-grained Tubular Shapes
Minghui Zhang, Yaoyu Liu, Junyang Wu +4
Medical tubular anatomical structures are inherently three-dimensional conduits with lumens, enclosing walls, and complex branching topologies. Accurate reconstruction of their geo…
Label-Free Intraoperative Imaging of Hemodynamics using Deep Learning
Yan Shi, Denghui Zhao, Jingyi Yu +5
Intraoperative visualization of hemodynamics is crucial for accurate diagnosis and informed surgical decision-making. In neurosurgery, indocyanine green fluorescence imaging (ICG-F…
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images
Junyang Wu, Fangfang Xie, Jiayuan Sun +2
Domain adaptation, which bridges the distributions across different modalities, plays a crucial role in multimodal medical image analysis. In endoscopic imaging, combining pre-oper…
Sim2Real within 5 Minutes: Efficient Domain Transfer with Stylized Gaussian Splatting for Endoscopic Images
Junyang Wu, Yun Gu, Guang-Zhong Yang
Robot assisted endoluminal intervention is an emerging technique for both benign and malignant luminal lesions. With vision-based navigation, when combined with pre-operative imagi…
Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images
Junyang Wu, Yun Gu
Deep learning models have witnessed depth and pose estimation framework on unannotated datasets as a effective pathway to succeed in endoscopic navigation. Most current techniques…