6 citations · 12 across the 13 of their papers we have counts for
13 papers
S3-Tracker: Self-Supervised Surgical Tissue Tracking With Contrastive Random Walks
Jiaming Zhang, Zijian Wu, Mehran Armand +1
Robust point tracking in endoscopic videos is essential for computer-assisted intervention and autonomous robotic surgery, enabling continuous registration between intraoperative v…
X-GuideAR: An Augmented Reality Framework to Mitigate Radiation Exposure during Fluoroscopic Guidance
Mingxu Liu, Zixuan Liu, Ruchen Cai +5
Achieving optimal screw placement for orthopedic surgeries requires frequent alignment checks and multiple anatomical views under X-ray -- a process known as "fluoro-hunting" that…
Extend Your Horizon: A Device-Agnostic Surgical Tool Tracking Framework with Multi-View Optimization for Augmented Reality
Jiaming Zhang, Mingxu Liu, Hongchao Shu +6
Surgical navigation provides real-time guidance by estimating the pose of patient anatomy and surgical instruments to visualize relevant intraoperative information. In conventional…
DualVision ArthroNav: Investigating Opportunities to Enhance Localization and Reconstruction in Image-based Arthroscopy Navigation via External Cameras
Hongchao Shu, Lalithkumar Seenivasan, Mingxu Liu +6
Arthroscopic procedures can greatly benefit from navigation systems that enhance spatial awareness, depth perception, and field of view. However, existing optical tracking solution…
dARt Vinci: Egocentric Data Collection for Surgical Robot Learning at Scale
Yihao Liu, Yu-Chun Ku, Jiaming Zhang +3
Data scarcity has long been an issue in the robot learning community. Particularly, in safety-critical domains like surgical applications, obtaining high-quality data can be especi…
Look Before You Leap: Using Serialized State Machine for Language Conditioned Robotic Manipulation
Tong Mu, Yihao Liu, Mehran Armand
Imitation learning frameworks for robotic manipulation have drawn attention in the recent development of language model grounded robotics. However, the success of the frameworks la…
An Image-Guided Robotic System for Transcranial Magnetic Stimulation: System Development and Experimental Evaluation
Yihao Liu, Jiaming Zhang, Letian Ai +6
Transcranial magnetic stimulation (TMS) is a noninvasive medical procedure that can modulate brain activity, and it is widely used in neuroscience and neurology research. Compared…
Uncertainty-Aware Shape Estimation of a Surgical Continuum Manipulator in Constrained Environments using Fiber Bragg Grating Sensors
Alexander Schwarz, Arian Mehrfard, Golchehr Amirkhani +5
Continuum Dexterous Manipulators (CDMs) are well-suited tools for minimally invasive surgery due to their inherent dexterity and reachability. Nonetheless, their flexible structure…
On the Fly Robotic-Assisted Medical Instrument Planning and Execution Using Mixed Reality
Letian Ai, Yihao Liu, Mehran Armand +2
Robotic-assisted medical systems (RAMS) have gained significant attention for their advantages in alleviating surgeons' fatigue and improving patients' outcomes. These systems comp…
GBEC: Geometry-Based Hand-Eye Calibration
Yihao Liu, Jiaming Zhang, Zhangcong She +2
Hand-eye calibration is the problem of solving the transformation from the end-effector of a robot to the sensor attached to it. Commonly employed techniques, such as AXXB or AXZB…
Segment Any Medical Model Extended
Yihao Liu, Jiaming Zhang, Andres Diaz-Pinto +4
The Segment Anything Model (SAM) has drawn significant attention from researchers who work on medical image segmentation because of its generalizability. However, researchers have…
Realtime Robust Shape Estimation of Deformable Linear Object
Jiaming Zhang, Zhaomeng Zhang, Yihao Liu +3
Realtime shape estimation of continuum objects and manipulators is essential for developing accurate planning and control paradigms. The existing methods that create dense point cl…
A Roadmap Towards Automated and Regulated Robotic Systems
Yihao Liu, Mehran Armand
The rapid development of generative technology opens up possibility for higher level of automation, and artificial intelligence (AI) embodiment in robotic systems is imminent. Howe…