no code implementations • 13 May 2024 • Hao Yang, Ayberk Acar, Keshuai Xu, Anton Deguet, Peter Kazanzides, Jie Ying Wu
In this study, we further investigate the robustness and generalization ability of an neural network (NN) based force estimation method, using the da Vinci Research Kit Si (dVRK-Si).
no code implementations • 12 Mar 2024 • Zijian Wu, Adam Schmidt, Peter Kazanzides, Septimiu E. Salcudean
Inspired by this progress, we present a novel framework that combines an online point tracker with a lightweight SAM model that is fine-tuned for surgical instrument segmentation.
no code implementations • 11 Nov 2022 • Baichuan Jiang, Keshuai Xu, Ahbay Moghekar, Peter Kazanzides, Emad Boctor
Clear identification of bone structures is crucial for ultrasound-guided lumbar interventions, but it can be challenging due to the complex shapes of the self-shadowing vertebra anatomy and the extensive background speckle noise from the surrounding soft tissue structures.
1 code implementation • 15 Mar 2022 • Hao Ding, Jintan Zhang, Peter Kazanzides, Jie Ying Wu, Mathias Unberath
Vision-based segmentation of the robotic tool during robot-assisted surgery enables downstream applications, such as augmented reality feedback, while allowing for inaccuracies in robot kinematics.
no code implementations • 2 Dec 2020 • Jie Ying Wu, Nural Yilmaz, Peter Kazanzides, Ugur Tumerdem
Measurement of environment interaction forces during robotic minimally-invasive surgery would enable haptic feedback to the surgeon, thereby solving one long-standing limitation.
Robotics
no code implementations • 14 Mar 2020 • Jie Ying Wu, Peter Kazanzides, Mathias Unberath
We train a network to predict this correction factor.