Search Results for author:
Found 14 papers, 9 papers with code
Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template Matching
Soft tissue tracking is crucial for computer-assisted interventions.
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Neural surface reconstruction has been shown to be powerful for recovering dense 3D surfaces via image-based neural rendering.
TAToo: Vision-based Joint Tracking of Anatomy and Tool for Skull-base Surgery
TAToo jointly tracks the rigid 3D motion of patient skull and surgical drill from stereo microscopic videos.
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints
Method: To address the above limitations, we take temporal relation into consideration and propose a temporal causal model for robot tool segmentation on video sequences.
Twin-S: A Digital Twin for Skull-base Surgery
Twin-S tracks and updates the virtual model in real-time given measurements from modern tracking technologies.
Context-Enhanced Stereo Transformer
We construct our stereo depth estimation model, Context Enhanced Stereo Transformer (CSTR), by plugging CEP into the state-of-the-art stereo depth estimation method Stereo Transformer.
SAGE: SLAM with Appearance and Geometry Prior for Endoscopy
In endoscopy, many applications (e. g., surgical navigation) would benefit from a real-time method that can simultaneously track the endoscope and reconstruct the dense 3D geometry of the observed anatomy from a monocular endoscopic video.
Temporally Consistent Online Depth Estimation in Dynamic Scenes
We present a framework named Consistent Online Dynamic Depth (CODD) to produce temporally consistent depth estimates in dynamic scenes in an online setting.
On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation
It is based on the idea that observed frames can be synthesized from neighboring frames if accurate depth of the scene is known - or in this case, estimated.
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
After that, a dynamic reconstruction algorithm which can estimate the tissue deformation and camera movement, and aggregate the information over time is proposed for surgical scene reconstruction.
An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma
The method operates similarly to human interpretation of CT scans and first detects distinct pelvic fractures on CT with high specificity using a Faster-RCNN model that are then interpreted using a structural causal model based on clinical best practices to infer an initial Tile grade.
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers
Stereo depth estimation relies on optimal correspondence matching between pixels on epipolar lines in the left and right images to infer depth.
Anatomical Mesh-Based Virtual Fixtures for Surgical Robots
This paper presents a dynamic constraint formulation to provide protective virtual fixtures of 3D anatomical structures from polygon mesh representations.
Robotics Systems and Control Systems and Control
A Robotic 3D Perception System for Operating Room Environment Awareness
Purpose: We describe a 3D multi-view perception system for the da Vinci surgical system to enable Operating room (OR) scene understanding and context awareness.
