Zobrazeno 1 - 10
of 293
pro vyhledávání: '"Bly, Randall A."'
Autor:
Chen, Pengcheng, Li, Wenhao, Gunderson, Nicole, Ruthberg, Jeremy, Bly, Randall, Abuzeid, Waleed M., Sun, Zhenglong, Seibel, Eric J.
The 3D reconstruction of the surgical field in minimally invasive endoscopic surgery has posed a formidable challenge when using conventional monocular endoscopes. Existing 3D reconstruction methodologies are frequently encumbered by suboptimal accur
Externí odkaz:
http://arxiv.org/abs/2410.04041
Autor:
Chan, Justin, Glenn, Antonio, Itani, Malek, Mancl, Lisa R., Gallagher, Emily, Bly, Randall, Patel, Shwetak, Gollakota, Shyamnath
We present the first wireless earbud hardware that can perform hearing screening by detecting otoacoustic emissions. The conventional wisdom has been that detecting otoacoustic emissions, which are the faint sounds generated by the cochlea, requires
Externí odkaz:
http://arxiv.org/abs/2212.05435
Autor:
Peng, Haonan, Lin, Shan, King, Daniel, Su, Yun-Hsuan, Abuzeid, Waleed M., Bly, Randall A., Moe, Kris S., Hannaford, Blake
Publikováno v:
In Medical Image Analysis October 2024 97
Autor:
Li, Yangming, Konuthula, Neeraja, Humphreys, Ian M., Moe, Kris, Hannaford, Blake, Bly, Randall
Abstract. Purpose: This paper presents a scheme for generating virtual intraoperative CT scans in order to improve surgical completeness in Endoscopic Sinus Surgeries (ESS). Approach: The work presents three methods, the tip motion-based, the tip tra
Externí odkaz:
http://arxiv.org/abs/2112.02608
Autor:
Li, Yangming, Bly, Randall, Akkina, Sarah, Saxena, Rajeev C., Humphreys, Ian, Whipple, Mark, Moe, Kris, Hannaford, Blake
Endoscopic Sinus and Skull Base Surgeries (ESSBSs) is a challenging and potentially dangerous surgical procedure, and objective skill assessment is the key components to improve the effectiveness of surgical training, to re-validate surgeons' skills,
Externí odkaz:
http://arxiv.org/abs/2112.02598
Publikováno v:
In Oral and Maxillofacial Surgery Clinics of North America August 2024 36(3):355-368
Autor:
Peng, Haonan, Lin, Shan, King, Daniel, Su, Yun-Hsuan, Bly, Randall A., Moe, Kris S., Hannaford, Blake
Accurate instrument segmentation in endoscopic vision of robot-assisted surgery is challenging due to reflection on the instruments and frequent contacts with tissue. Deep neural networks (DNN) show competitive performance and are in favor in recent
Externí odkaz:
http://arxiv.org/abs/2108.03534
Deep learning-based methods have achieved promising results on surgical instrument segmentation. However, the high computation cost may limit the application of deep models to time-sensitive tasks such as online surgical video analysis for robotic-as
Externí odkaz:
http://arxiv.org/abs/2011.08752
Intelligent vision is appealing in computer-assisted and robotic surgeries. Vision-based analysis with deep learning usually requires large labeled datasets, but manual data labeling is expensive and time-consuming in medical problems. We investigate
Externí odkaz:
http://arxiv.org/abs/2003.04949
Accurate and real-time surgical instrument segmentation is important in the endoscopic vision of robot-assisted surgery, and significant challenges are posed by frequent instrument-tissue contacts and continuous change of observation perspective. For
Externí odkaz:
http://arxiv.org/abs/2002.10675