2 citations · 2 across the 10 of their papers we have counts for
10 papers
Towards Autonomous Navigation in Endovascular Interventions
Tudor Jianu
Cardiovascular diseases remain the leading cause of global mortality, with minimally invasive treatment options offered through endovascular interventions. However, the precision a…
FedEFM: Federated Endovascular Foundation Model with Unseen Data
Tuong Do, Nghia Vu, Tudor Jianu +7
In endovascular surgery, the precise identification of catheters and guidewires in X-ray images is essential for reducing intervention risks. However, accurately segmenting cathete…
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…
CathAction: A Benchmark for Endovascular Intervention Understanding
Baoru Huang, Tuan Vo, Chayun Kongtongvattana +35
Real-time visual feedback from catheterization analysis is crucial for enhancing surgical safety and efficiency during endovascular interventions. However, existing datasets are of…
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…
CathSim: An Open-source Simulator for Endovascular Intervention
Tudor Jianu, Baoru Huang, Mohamed E. M. K. Abdelaziz +6
Autonomous robots in endovascular operations have the potential to navigate circulatory systems safely and reliably while decreasing the susceptibility to human errors. However, th…
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…