58 citations · 212 across the 44 of their papers we have counts for
11 papers · 1 filter
Robotic versus Human Teleoperation for Remote Ultrasound
David Black, Septimiu Salcudean
Diagnostic medical ultrasound is widely used, safe, and relatively low cost but requires a high degree of expertise to acquire and interpret the images. Personnel with this experti…
Measurement and Potential Field-Based Patient Modeling for Model-Mediated Tele-ultrasound
Ryan S. Yeung, David G. Black, Septimiu E. Salcudean
Teleoperated ultrasound can improve diagnostic medical imaging access for remote communities. Having accurate force feedback is important for enabling sonographers to apply the app…
AutoCam: Hierarchical Path Planning for an Autonomous Auxiliary Camera in Surgical Robotics
Alexandre Banks, Randy Moore, Sayem Nazmuz Zaman +2
Incorporating an autonomous auxiliary camera into robot-assisted minimally invasive surgery (RAMIS) enhances spatial awareness and eliminates manual viewpoint control. Existing pat…
Linearity, Time Invariance, and Passivity of a Novice Person in Human Teleoperation
David Black, Septimiu Salcudean
Low-cost teleguidance of medical procedures is becoming essential to provide healthcare to remote and underserved communities. Human teleoperation is a promising new method for gui…
ToolTipNet: A Segmentation-Driven Deep Learning Baseline for Surgical Instrument Tip Detection
Zijian Wu, Shuojue Yang, Yueming Jin +1
In robot-assisted laparoscopic radical prostatectomy (RALP), the location of the instrument tip is important to register the ultrasound frame with the laparoscopic camera frame. A…
Setup-Invariant Augmented Reality for Teaching by Demonstration with Surgical Robots
Alexandre Banks, Richard Cook, Septimiu E. Salcudean
Augmented reality (AR) is an effective tool in robotic surgery education as it combines exploratory learning with three-dimensional guidance. However, existing AR systems require e…
Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) Challenge
Adam Schmidt, Mert Asim Karaoglu, Soham Sinha +37
Understanding tissue motion in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-b…
Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting
Shuojue Yang, Zijian Wu, Mingxuan Hong +4
Real2Sim is becoming increasingly important with the rapid development of surgical artificial intelligence (AI) and autonomy. In this work, we propose a novel Real2Sim methodology,…
SemICP: Semantic Non-Rigid Point Cloud Registration with Elastic Energy Regularization
Wanwen Chen, Qi Zeng, Carson Studders +6
Purpose: Accurate point cloud registration is essential in computer-aided interventions (CAI) to align multi-modal medical images for intraoperative guidance. Classical methods, su…
SurgPose: a Dataset for Articulated Robotic Surgical Tool Pose Estimation and Tracking
Zijian Wu, Adam Schmidt, Randy Moore +4
Accurate and efficient surgical robotic tool pose estimation is of fundamental significance to downstream applications such as augmented reality (AR) in surgical training and learn…
Visual-Haptic Model Mediated Teleoperation for Remote Ultrasound
David Black, Maria Tirindelli, Septimiu Salcudean +2
Tele-ultrasound has the potential greatly to improve health equity for countless remote communities. However, practical scenarios involve potentially large time delays which cause…