Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Munawar, Adnan"'
Despite advancements in robotic-assisted surgery, automating complex tasks like suturing remain challenging due to the need for adaptability and precision. Learning-based approaches, particularly reinforcement learning (RL) and imitation learning (IL
Externí odkaz:
http://arxiv.org/abs/2406.13865
Publikováno v:
2024 International Symposium on Medical Robotics (ISMR)
The development of algorithms for automation of subtasks during robotic surgery can be accelerated by the availability of realistic simulation environments. In this work, we focus on one aspect of the realism of a surgical simulator, which is the pos
Externí odkaz:
http://arxiv.org/abs/2406.07375
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA)
Automation in surgical robotics has the potential to improve patient safety and surgical efficiency, but it is difficult to achieve due to the need for robust perception algorithms. In particular, 6D pose estimation of surgical instruments is critica
Externí odkaz:
http://arxiv.org/abs/2406.07328
Autor:
Sahu, Manish, Ishida, Hisashi, Connolly, Laura, Fan, Hongyi, Deguet, Anton, Kazanzides, Peter, Creighton, Francis X., Taylor, Russell H., Munawar, Adnan
Image-guided robotic interventions represent a transformative frontier in surgery, blending advanced imaging and robotics for improved precision and outcomes. This paper addresses the critical need for integrating open-source platforms to enhance sit
Externí odkaz:
http://arxiv.org/abs/2401.11715
Autor:
Ishida, Hisashi, Sahu, Manish, Munawar, Adnan, Nagururu, Nimesh, Galaiya, Deepa, Kazanzides, Peter, Creighton, Francis X., Taylor, Russell H.
Skull base surgery is a demanding field in which surgeons operate in and around the skull while avoiding critical anatomical structures including nerves and vasculature. While image-guided surgical navigation is the prevailing standard, limitation st
Externí odkaz:
http://arxiv.org/abs/2401.11709
Autor:
Esfandiari, Mojtaba, Zhou, Yanlin, Dehghani, Shervin, Hadi, Muhammad, Munawar, Adnan, Phalen, Henry, Gehlbach, Peter, Taylor, Russell H., Iordachita, Iulian
Retinal microsurgery is a high-precision surgery performed on an exceedingly delicate tissue. It now requires extensively trained and highly skilled surgeons. Given the restricted range of instrument motion in the confined intraocular space, and also
Externí odkaz:
http://arxiv.org/abs/2303.05704
Autor:
Ishida, Hisashi, Barragan, Juan Antonio, Munawar, Adnan, Li, Zhaoshuo, Ding, Andy, Kazanzides, Peter, Trakimas, Danielle, Creighton, Francis X., Taylor, Russell H.
Publikováno v:
International Conference on Intelligent Robots and Systems (IROS) 2023
The introduction of image-guided surgical navigation (IGSN) has greatly benefited technically demanding surgical procedures by providing real-time support and guidance to the surgeon during surgery. \hi{To develop effective IGSN, a careful selection
Externí odkaz:
http://arxiv.org/abs/2303.01733
Autor:
Munawar, Adnan, Li, Zhaoshuo, Nagururu, Nimesh, Trakimas, Danielle, Kazanzides, Peter, Taylor, Russell H., Creighton, Francis X.
Purpose: A virtual reality (VR) system, where surgeons can practice procedures on virtual anatomies, is a scalable and cost-effective alternative to cadaveric training. The fully digitized virtual surgeries can also be used to assess the surgeon's sk
Externí odkaz:
http://arxiv.org/abs/2302.13878
Autor:
Shu, Hongchao, Liang, Ruixing, Li, Zhaoshuo, Goodridge, Anna, Zhang, Xiangyu, Ding, Hao, Nagururu, Nimesh, Sahu, Manish, Creighton, Francis X., Taylor, Russell H., Munawar, Adnan, Unberath, Mathias
Purpose: Digital twins are virtual interactive models of the real world, exhibiting identical behavior and properties. In surgical applications, computational analysis from digital twins can be used, for example, to enhance situational awareness. Met
Externí odkaz:
http://arxiv.org/abs/2211.11863
Autor:
Zhang, Dandan, Wu, Zicong, Chen, Junhong, Zhu, Ruiqi, Munawar, Adnan, Xiao, Bo, Guan, Yuan, Su, Hang, Hong, Wuzhou, Guo, Yao, Fischer, Gregory S., Lo, Benny, Yang, Guang-Zhong
Human-robot shared control, which integrates the advantages of both humans and robots, is an effective approach to facilitate efficient surgical operation. Learning from demonstration (LfD) techniques can be used to automate some of the surgical subt
Externí odkaz:
http://arxiv.org/abs/2204.11116