activity
20192022
most citedTowards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision

58 citations · 97 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2022

Wireless earbuds for low-cost hearing screening

Justin Chan, Antonio Glenn, Malek Itani +5

We present the first wireless earbud hardware that can perform hearing screening by detecting otoacoustic emissions. The conventional wisdom has been that detecting otoacoustic emi…

eess.IV2021

Real-time Virtual Intraoperative CT for Image Guided Surgery

Yangming Li, Neeraja Konuthula, Ian M. Humphreys +3

Abstract. Purpose: This paper presents a scheme for generating virtual intraoperative CT scans in order to improve surgical completeness in Endoscopic Sinus Surgeries (ESS). Approa…

cs.LG2021

Real-time Informative Surgical Skill Assessment with Gaussian Process Learning

Yangming Li, Randall Bly, Sarah Akkina +5

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 th…

cs.CV2021★ 8 cited

Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation

Haonan Peng, Shan Lin, Daniel King +4

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 n…

cs.CV2020★ 26 cited

Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video

Shan Lin, Fangbo Qin, Haonan Peng +3

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…

eess.IV2020★ 4 cited

LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images

Shan Lin, Fangbo Qin, Yangming Li +3

Intelligent vision is appealing in computer-assisted and robotic surgeries. Vision-based analysis with deep learning usually requires large labeled datasets, but manual data labeli…

cs.CV2020★ 58 cited

Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision

Fangbo Qin, Shan Lin, Yangming Li +3

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…

eess.IV2019★ 1 cited

Identifying Pediatric Vascular Anomalies With Deep Learning

Justin Chan, Sharat Raju, Randall Bly +2

Vascular anomalies, more colloquially known as birthmarks, affect up to 1 in 10 infants. Though many of these lesions self-resolve, some types can result in medical complications o…