Jaesoon Choi — accepted AI-conference papers

2025

A Robust Deep Reinforcement Learning Framework for Image-Based Autonomous Guidewire Navigation

Sangbaek Yoo, Hojun Kwon, Jaesoon Choi, Dong Eui Chang

ICRA 2025

Percutaneous coronary intervention (PCI) involves the insertion of a catheter or guidewire into a blood vessel of a patient, which poses a problem as a doctor is exposed to radiation during the procedure. The use of assistive robots has been proposed to address this issue. Furthermore, recent resear

Cited by 0 Source ↗Scholar ↗

2022

Sim-to-Real Transfer of Image-Based Autonomous Guidewire Navigation Trained by Deep Deterministic Policy Gradient with Behavior Cloning for Fast Learning

Yongjun Cho, Jae-Hyeon Park, Jaesoon Choi, Dong Eui Chang

IROS 2022poster

Percutaneous coronary intervention (PCI) is a frequently used surgical treatment for cardiovascular disease, one of the leading cause of death in the world. In traditional PCI, a doctor navigates a thin guidewire in a patient's vessel toward a target location by looking into live X-ray angiogram ima…

Cited by 7 Source ↗Scholar ↗