2 citations · 2 across the 6 of their papers we have counts for
6 papers
SplineFormer: An Explainable Transformer-Based Approach for Autonomous Endovascular Navigation
Tudor Jianu, Shayan Doust, Mengyun Li +8
Endovascular navigation is a crucial aspect of minimally invasive procedures, where precise control of curvilinear instruments like guidewires is critical for successful interventi…
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction
Tudor Jianu, Baoru Huang, Hoan Nguyen +8
Endovascular surgical tool reconstruction represents an important factor in advancing endovascular tool navigation, which is an important step in endovascular surgery. However, the…
Autonomous Catheterization with Open-source Simulator and Expert Trajectory
Tudor Jianu, Baoru Huang, Tuan Vo +7
Endovascular robots have been actively developed in both academia and industry. However, progress toward autonomous catheterization is often hampered by the widespread use of close…
3D Guidewire Shape Reconstruction from Monoplane Fluoroscopic Images
Tudor Jianu, Baoru Huang, Pierre Berthet-Rayne +2
Endovascular navigation, essential for diagnosing and treating endovascular diseases, predominantly hinges on fluoroscopic images due to the constraints in sensory feedback. Curren…
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching
Jingxuan Kang, Tudor Jianu, Baoru Huang +4
Endovascular intervention training is increasingly being conducted in virtual simulators. However, transferring the experience from endovascular simulators to the real world remain…
Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks
Tudor Jianu, Daniel Fernandes Gomes, Shan Luo
Recently simulation methods have been developed for optical tactile sensors to enable the Sim2Real learning, i.e., firstly training models in simulation before deploying them on th…