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Tudor Jianu

3 accepted papers

2025

FedEFM: Federated Endovascular Foundation Model with Unseen Data

ICRA 2025

In endovascular surgery, the precise identification of catheters and guidewires in X-ray images is essential for reducing intervention risks. However, accurately segmenting catheter and guidewire structures is challenging due to the limited availability of labeled data. Foundation models offer a pro

Cited by 3SourceScholar
2025

SplineFormer: An Explainable Transformer Network for Autonomous Endovascular Navigation

IROS 2025

Robot-assisted endovascular navigation provides significant advantages, including reduced radiation exposure for surgeons and improved patient safety. However, a major challenge is to control curvilinear instruments like guidewires precisely for smooth and accurate navigation while adapting to anato

Cited by 0SourceScholar
2022

Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks

ICRA 2022poster

Recently simulation methods have been developed for optical tactile sensors to enable the Sim2Real learning, i.e., first training models in simulation before deploying them on a real robot. However, some artefacts in real objects are unpredictable, such as imperfections caused by fabrication process…

Cited by 29SourceScholar