Sun‐Joo Jang

Weill Cornell Medicine, NewYork–Presbyterian Hospital

Papers

2

Total Citations

19

H-Index

2

About

Sun-Joo Jang is a pioneering researcher at the intersection of soft robotics and cardiovascular intervention, whose work is redefining minimally invasive cardiac surgery. Her primary research areas include soft robotic medical devices, transcatheter valve replacement, and AI-driven surgical navigation. Jang’s major contributions are twofold: she developed the first proof-of-concept transcatheter tricuspid valve replacement (TTVR) device using soft robotic technology, demonstrating how conformable, actuated materials can overcome the limitations of rigid implants in the dynamic cardiac environment. This work, cited 8 times, established a new paradigm for catheter-delivered heart valves. She further advanced surgical precision by creating a deep learning framework for real-time catheter tracking from bi-plane X-ray fluoroscopy, validated on 3D-printed heart phantoms. This study, with 11 citations, showcases her ability to fuse artificial intelligence with interventional imaging, offering a path toward safer, more accurate navigation in complex procedures. Jang’s interdisciplinary approach—bridging materials science, robotics, and clinical imaging—positions her as a rising leader in next-generation cardiac care, with her work laying the groundwork for smarter, softer, and more effective surgical tools.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Deep learning-driven catheter tracking from bi-plane X-ray fluoroscopy of 3D printed heart phantoms
11 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Weill Cornell Medicine, NewYork–Presbyterian Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago