Trevor M. Y. Kwok — accepted AI-conference papers

2020

Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning

Wenqiang Chi, Giulio Dagnino, Trevor M. Y. Kwok, Anh Nguyen, Dennis Kundrat, Mohamed E. M. K. Abdelaziz +3

ICRA 2020poster

Master-slave systems for endovascular catheterization have brought major clinical benefits including reduced radiation doses to the operators, improved precision and stability of the instruments, as well as reduced procedural duration. Emerging deep reinforcement learning (RL) technologies could pot…

Cited by 116 Source ↗Scholar ↗

2020

End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention

Anh Nguyen, Dennis Kundrat, Giulio Dagnino, Wenqiang Chi, Mohamed E. M. K. Abdelaziz, Yao Guo +4

ICRA 2020poster

Accurate real-time catheter segmentation is an important pre-requisite for robot-assisted endovascular intervention. Most of the existing learning-based methods for catheter segmentation and tracking are only trained on smallscale datasets or synthetic data due to the difficulties of ground-truth an…

Cited by 38 Source ↗Scholar ↗

2019

Toward a Versatile Robotic Platform for Fluoroscopy and MRI-Guided Endovascular Interventions: A Pre-Clinical Study

Mohamed E. M. K. Abdelaziz, Dennis Kundrat, Marco Pupillo, Giulio Dagnino, Trevor M. Y. Kwok, Wenqiang Chi +5

IROS 2019poster

Cardiovascular diseases remain as the most common cause of death worldwide. Remotely manipulated robotic systems are utilized to perform minimally invasive endovascular interventions. The main benefits of this methodology include reduced recovery time, improvement of clinical skills and procedural f…

Cited by 71 Source ↗Scholar ↗