Celia V. Riga — accepted AI-conference papers

2019

Real-Time 3-D Shape Instantiation for Partially Deployed Stent Segments From a Single 2-D Fluoroscopic Image in Fenestrated Endovascular Aortic Repair

Jian-Qing Zheng, Xiao-Yun Zhou, Celia V. Riga, Guang-Zhong Yang

RA-L 2019

In fenestrated endovascular aortic repair (FEVAR), accurate alignment of stent graft fenestrations or scallops with aortic branches is essential for establishing complete blood flow perfusion. Current navigation is largely based on two-dimensional (2-D) fluoroscopic images, which lacks 3-D anatomica

Cited by 8 Source ↗Scholar ↗

2018

Real-Time 3-D Shape Instantiation From Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment

Xiao-Yun Zhou, Jianyu Lin, Celia V. Riga, Guang-Zhong Yang, Su-Lin Lee

RA-L 2018

Robot-assisted deployment of fenestrated stent grafts in fenestrated endovascular aortic repair (FEVAR) requires accurate geometrical alignment. Currently, this process is guided by two-dimensional (2-D) fluoroscopy, which is insufficiently informative and error prone. In this letter, a real-time fr

Cited by 27 Source ↗Scholar ↗

2016

Robust Catheter and Guidewire Tracking Using B-Spline Tube Model and Pixel-Wise Posteriors

Ping-Lin Chang, Alexander Rolls, Herbert De Praetere, Emmanuel B. Vander Poorten, Celia V. Riga, Colin D. Bicknell +1

RA-L 2016

In endovascular surgery and cardiology, robotic catheters are emerging as a promising technology for enhanced catheter manipulation and navigation while reducing radiation exposure. For robotic catheter systems especially with tendon actuation, a key challenge is the localisation of the catheter sha

Cited by 41 Source ↗Scholar ↗