Deep Learning-based 3D Magnetic Microrobot Tracking using 2D MR Images
Article Properties
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DOI (url)
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Publication Date2022/07/01
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Indian UGC (journal)
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Refrences24
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Mehmet Efe Tiryaki Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany ORCID (unauthenticated)
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Sinan Ozgun Demir Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany ORCID (unauthenticated)
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Metin Sitti Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany ORCID (unauthenticated)
Cite
Tiryaki, Mehmet Efe, et al. “Deep Learning-Based 3D Magnetic Microrobot Tracking Using 2D MR Images”. IEEE Robotics and Automation Letters, vol. 7, no. 3, 2022, pp. 6982-9, https://doi.org/10.1109/lra.2022.3179509.
Tiryaki, M. E., Demir, S. O., & Sitti, M. (2022). Deep Learning-based 3D Magnetic Microrobot Tracking using 2D MR Images. IEEE Robotics and Automation Letters, 7(3), 6982-6989. https://doi.org/10.1109/lra.2022.3179509
Tiryaki ME, Demir SO, Sitti M. Deep Learning-based 3D Magnetic Microrobot Tracking using 2D MR Images. IEEE Robotics and Automation Letters. 2022;7(3):6982-9.
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Heat-mitigated design and Lorentz force-based steering of an MRI-driven microcatheter toward minimally invasive surgery | 2022 | |||
| A faster R-CNN model for detection of MR-compatible catheters | 2020 | |||
| Mobile Microrobotics | 2017 | |||
Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis | Scientific Reports |
| 12 | 2021 |
| MRI-based dynamic tracking of an untethered ferromagnetic microcapsule navigating in liquid | International Journal of Optomechatronics |
| 19 | 2016 |