Nicole Varble

According to our database, Nicole Varble authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Computer vision-based bronchoscope tracking and navigation tool.

Ming Li, Nicole Varble, John Karanian, Pingkun Yan, Sheng Xu, Bradford J. Wood

Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

2022

Camera-based distance detection and contact tracing to monitor potential spread of COVID-19.

Ming Li, Nicole Varble, Baris Turkbey, Sheng Xu, Bradford J. Wood

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Breathing-Compensated Neural Networks for Real Time C-Arm Pose Estimation in Lung CT-Fluoroscopy Registration.

Brian C. Lee, Ayushi Sinha, Nicole Varble, William F. Pritchard, John W. Karanian, Bradford J. Wood, Torre Bydlon

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Determination of Error in 3D CT to 2D Fluoroscopy Image Registration for Endobronchial Guidance.

Nicole Varble, Alvin Chen, Ayushi Sinha, Brian C. Lee, Quirina De Ruiter, Bradford J. Wood, Torre Bydlon

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Smartphone- versus smartglasses-based augmented reality (AR) for percutaneous needle interventions: system accuracy and feasibility study.

Ming Li, Reza Seifabadi, Dilara Long, Quirina De Ruiter, Nicole Varble, Rachel Hecht, Ayele H. Negussie, Venkatesh Krishnasamy, Sheng Xu, Bradford J. Wood

Int. J. Comput. Assist. Radiol. Surg., 2020

2019

Interactive Endoscopy: A Next-Generation, Streamlined User Interface for Lung Surgery Navigation.

Paul Thienphrapa, Torre Bydlon, Alvin Chen, Prasad Vagdargi, Nicole Varble, Douglas Stanton, Aleksandra Popovic

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches.

Hamidreza Rajabzadeh-Oghaz, Nicole Varble, Jason M. Davies, Ashkan Mowla, Hakeem J. Shakir, Ashish Sonig, Hussain Shallwani, Kenneth V. Snyder, Elad I. Levy, Adnan H. Siddiqui, Hui Meng

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017