activity
20192024
most citedCholecTriplet2021: A benchmark challenge for surgical action triplet recognition

78 citations · 199 across the 42 of their papers we have counts for

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15 papers · 1 filter

eess.IV2023★ 3 cited

SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

An Wang, Mobarakol Islam, Mengya Xu +2

The Segment Anything Model (SAM) serves as a fundamental model for semantic segmentation and demonstrates remarkable generalization capabilities across a wide range of downstream s…

eess.IV2023

Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation

Tianhang Liu, Hechen Li, Long Bai +4

Robot-assisted airway intubation application needs high accuracy in locating targets and organs. Two vital landmarks, nostrils and glottis, can be detected during the intubation to…

eess.IV2023

LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion

Long Bai, Tong Chen, Yanan Wu +3

Wireless capsule endoscopy (WCE) is a painless and non-invasive diagnostic tool for gastrointestinal (GI) diseases. However, due to GI anatomical constraints and hardware manufactu…

eess.IV2023

Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis

An Wang, Mobarakol Islam, Mengya Xu +1

Despite their impressive performance in various surgical scene understanding tasks, deep learning-based methods are frequently hindered from deploying to real-world surgical applic…

eess.IV2023

Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Towards Robot-assisted Intubation

Guankun Wang, Tian-Ao Ren, Jiewen Lai +2

Robotic-assisted tracheal intubation requires the robot to distinguish anatomical features like an experienced physician using deep-learning techniques. However, real datasets of o…

eess.IV2023★ 1 cited

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation

An Wang, Mobarakol Islam, Mengya Xu +1

Accurate and robust medical image segmentation is fundamental and crucial for enhancing the autonomy of computer-aided diagnosis and intervention systems. Medical data collection n…