Semantic-SuPer: a semantic-aware surgical perception framework for endoscopic tissue identification, reconstruction, and tracking
Accurate and robust tracking and reconstruction of the surgical scene is a critical enabling
technology toward autonomous robotic surgery. Existing algorithms for 3D perception in …
technology toward autonomous robotic surgery. Existing algorithms for 3D perception in …
Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking
Accurate and robust tracking and reconstruction of the surgical scene is a critical enabling
technology toward autonomous robotic surgery. Existing algorithms for 3D perception in …
technology toward autonomous robotic surgery. Existing algorithms for 3D perception in …
SuPerPM: A Large Deformation-Robust Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data
Manipulation of tissue with surgical tools often results in large deformations that current
methods in tracking and reconstructing algorithms have not effectively addressed. A major …
methods in tracking and reconstructing algorithms have not effectively addressed. A major …
Robust Surgical Tool Tracking with Pixel-based Probabilities for Projected Geometric Primitives
Controlling robotic manipulators via visual feedback requires a known coordinate frame
transformation between the robot and the camera. Uncertainties in mechanical systems as …
transformation between the robot and the camera. Uncertainties in mechanical systems as …
Suture thread spline reconstruction from endoscopic images for robotic surgery with reliability-driven keypoint detection
Automating the process of manipulating and delivering sutures during robotic surgery is a
prominent problem at the frontier of surgical robotics, as automating this task can …
prominent problem at the frontier of surgical robotics, as automating this task can …
Autonomous System for Tumor Resection (ASTR)-Dual-Arm Robotic Midline Partial Glossectomy
Head and neck cancers are the seventh most common cancers worldwide, with squamous
cell carcinoma being the most prevalent histologic subtype. Surgical resection is a primary …
cell carcinoma being the most prevalent histologic subtype. Surgical resection is a primary …
SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation
Without ground truth supervision, self-supervised depth estimation can be trapped in a local
minimum due to the gradient-locality issue of the photometric loss. In this paper, we present …
minimum due to the gradient-locality issue of the photometric loss. In this paper, we present …
Motor imagery analysis based on filter bank common spatial pattern
Y Du, R Xu, J Zhang - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
This paper analyzes the EEG signals of left and right hand motor imagery and uses Filter
Bank Common Spatial Pattern to extract features from EEG signals. Compared with Discrete …
Bank Common Spatial Pattern to extract features from EEG signals. Compared with Discrete …
[图书][B] Enabling Longitudinal Personalized Behavior Adaptation for Cognitively Assistive Robots
A Kubota - 2023 - search.proquest.com
Cognitively assistive robots have great potential to improve the accessibility of healthcare
services by extending existing clinical interventions to a person's home. This provides a …
services by extending existing clinical interventions to a person's home. This provides a …
A Handheld Forceps-Like Tracker for Learning Robotic Surgical Tasks from Demonstration
This paper presents a novel approach to collecting demonstrations of surgical procedures
that can be used to transfer skills from experts to robots using standard learning from …
that can be used to transfer skills from experts to robots using standard learning from …