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Found 11 papers, 3 papers with code
Coaching a Robotic Sonographer: Learning Robotic Ultrasound with Sparse Expert's Feedback
This paper proposes a coaching framework for RUS to amplify its performance.
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization
The two image quality estimators are proposed that use a deep convolution neural network and provide real-time feedback to the BO.
RUSOpt: Robotic UltraSound Probe Normalization with Bayesian Optimization for In-plane and Out-plane Scanning
To address this challenge, we propose a sample-efficient method to automatically adjust the orientation of the ultrasound probe normal to the point of contact on the scanning surface, thereby improving the acoustic coupling of the probe and resulting image quality.
Human-centered XAI for Burn Depth Characterization
Using this framework, we discover that B-mode ultrasound classifiers can be enhanced by supplying textural features.
Nonmyopic Informative Path Planning Based on Global Kriging Variance Minimization
While most informative path planners can only plan for a short horizon ahead of time (referred as to myopic planners), we propose a novel planner that is capable of planning global paths in which the nonmyopic exploration efficiency is optimized.
Pose-based Sign Language Recognition using GCN and BERT
Recent pose-based architectures for WSLR either model both the spatial and temporal dependencies among the poses in different frames simultaneously or only model the temporal information without fully utilizing the spatial information.
DAISI: Database for AI Surgical Instruction
This work provides a baseline for AI algorithms to assist in autonomous medical mentoring.
Triangle-Net: Towards Robustness in Point Cloud Learning
Previous research has shown that points' sparsity, rotation and positional inherent variance can lead to a significant drop in the performance of point cloud based classification techniques.
DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots
It comprises a set of surgical robotic skills collected during a surgical training task using three robotic platforms: the Taurus II robot, Taurus II simulated robot, and the YuMi robot.
Robotics
Coherency in One-Shot Gesture Recognition
The generated samples are then used as training sets for different state-of-the-art classifiers.
Human-Computer Interaction
What makes a gesture a gesture? Neural signatures involved in gesture recognition
These results suggest that coordinated activity in visual and motor cortices is sensitive to motion trajectories during gesture observation, and it is consistent with the proposal that inflection points operate as placeholders in gesture recognition.
Human-Computer Interaction
