Cong Gao

Orcid: 0000-0001-6798-8381

Affiliations:
  • Johns Hopkins University, Baltimore, USA


According to our database1, Cong Gao authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2024
A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers.
IEEE Trans. Medical Imaging, January, 2024

2023
Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualisation of Bone Defects.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

An autonomous X-ray image acquisition and interpretation system for assisting percutaneous pelvic fracture fixation.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis.
Nat. Mac. Intell., March, 2023

2022
Fluoroscopic Navigation for a Surgical Robotic System Including a Continuum Manipulator.
IEEE Trans. Biomed. Eng., 2022

SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments.
CoRR, 2022

2021
The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective.
Frontiers Robotics AI, 2021

2020
2018 Robotic Scene Segmentation Challenge.
CoRR, 2020

A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance.
Int. J. Comput. Assist. Radiol. Surg., 2020

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration.
Int. J. Comput. Assist. Radiol. Surg., 2020

Fiducial-free 2D/3D registration of the proximal femur for robot-assisted femoroplasty.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Abstract: Learning to Avoid Poor Images.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Localizing dexterous surgical tools in X-ray for image-based navigation.
CoRR, 2019

Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.
Int. J. Comput. Assist. Radiol. Surg., 2019

Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

2017
A Curved-Drilling Approach in Core Decompression of the Femoral Head Osteonecrosis Using a Continuum Manipulator.
IEEE Robotics Autom. Lett., 2017


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