14 citations · 23 across the 7 of their papers we have counts for
7 papers
Few-Shot Physics-Informed Neural Network for Shape Reconstruction of Concentric-Tube Robots
Navid Feizi, Filipe C. Pedrosa, Rajni V. Patel +1
Modeling concentric tube robots (CTRs) involves complex nonlinear continuum mechanics, and despite recent progress, physics-based models often lack an accurate representation of th…
Separable Tendon-Driven Robotic Manipulator with a Long, Flexible, Passive Proximal Section
Christian DeBuys, Florin C. Ghesu, Jagadeesan Jayender +2
This work tackles practical issues which arise when using a tendon-driven robotic manipulator (TDRM) with a long, flexible, passive proximal section in medical applications. Tendon…
Real-time Nonrigid Mosaicking of Laparoscopy Images
Haoyin Zhou, Jagadeesan Jayender
The ability to extend the field of view of laparoscopy images can help the surgeons to obtain a better understanding of the anatomical context. However, due to tissue deformation,…
F3RNet: Full-Resolution Residual Registration Network for Deformable Image Registration
Zhe Xu, Jie Luo, Jiangpeng Yan +2
Deformable image registration (DIR) is essential for many image-guided therapies. Recently, deep learning approaches have gained substantial popularity and success in DIR. Most dee…
Smooth Deformation Field-based Mismatch Removal in Real-time
Haoyin Zhou, Jagadeesan Jayender
This paper studies the mismatch removal problem, which may serve as the subsequent step of feature matching. Non-rigid deformation makes it difficult to remove mismatches because n…
Mixed-Supervised Dual-Network for Medical Image Segmentation
Duo Wang, Ming Li, Nir Ben-Shlomo +4
Deep learning based medical image segmentation models usually require large datasets with high-quality dense segmentations to train, which are very time-consuming and expensive to…