Medical robotics in computer-integrated surgery
By Russell H. Taylor, Dan S. Stoianovici. IEEE Trans. Robotics Autom., 2003
1,047 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Surgery
View Paper: https://www.semanticscholar.org/paper/c4f61ba2f55c0e4de84e7539b068aa73c9b76f9b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Jake J. Abbott
- Bradley J. Nelson
- Ryan A. Beasley
- Matthew P. Bell
- Kai Xu
- Ioannis K. Kaliakatsos
- Nabil Simaan
- Pingkun Yan
In Surgery
Citations in the corpus
- Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints (2019, background): “Conservative prognostications of dataset sizes – particularly for practical endeavours such as self-driving cars [2], assistive medical robots [61], and medical analysis [18] – suggest one will train on datasets orders of magnitude larger than those that are publicly available today.”
- Deep learning in medical image registration: a review (2019, methodology): “Medical image registration is used in many clinical applications such as image guidance [22, 123, 148, 170], motion tracking [13, 46, 172], segmentation [44, 57, 174, 171, 173, 176], dose accumulation [1, 153], image reconstruction [91] and so on.”
- Microrobots for minimally invasive medicine. (2010, background): “There exist surveys of the use of robotics in surgery (12, 13), but this is the first to consider microrobots in medicine.”
- Needle insertion into soft tissue: a survey. (2007, neutral): “Robotic devices for percutaneous procedures have been iscussed in reviews of medical robotics such as [35,36].”
- Immersive and collaborative data visualization using virtual reality platforms (2014, background): “These qualities have been shown to enhance collaborative teleoperation scenarios like remote driving [14] and surgery [15], just to cite a few.”
- Deep learning in medical image registration: a survey (2019, background): “istration seeks to find an optimal spatial transformation that best aligns the underlying anatomical structures. Medical image registration is used in many clinical applications such as image guidance [22,123,148,170], motion tracking [13,46,172], segmentation [44,57,174,171,173,176], dose accumulati”
- Design and Integration of a Telerobotic System for Minimally Invasive Surgery of the Throat (2009, background): “Although Woo et al. (1995) and Plinkert and Lowenheim (1997) established distinct laryngeal endosuture techniques, suture repair of vocal fold wounds remains challenging and has yet to be accepted owing to technical complexities and the increased operative time required.”
- Flexible Object Manipulation (2010, background): “Taylor gives a survey of medical robots in general, with some mention of suturing systems [81].”
- Medical Robots: Current Systems and Research Directions (2012, background): “Medical robots have been reviewed in various papers since the 1990s [4–7].”